{"id":"https://openalex.org/W3212592316","doi":"https://doi.org/10.1109/access.2021.3126763","title":"Optimal Data Selection Rule Mining for Transformer Condition Assessment","display_name":"Optimal Data Selection Rule Mining for Transformer Condition Assessment","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3212592316","doi":"https://doi.org/10.1109/access.2021.3126763","mag":"3212592316"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3126763","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3126763","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2021.3126763","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0001-5638-0848"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, 102206 Beijing, P.R. China and Beijing Key Laboratory of High Voltage & EMC, North China Electric Power University, 102206 Beijing, China","State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0001-5638-0848","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, 102206 Beijing, P.R. China and Beijing Key Laboratory of High Voltage & EMC, North China Electric Power University, 102206 Beijing, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000972854","display_name":"Bo Qi","orcid":"https://orcid.org/0000-0001-8001-5824"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Qi","raw_affiliation_strings":["State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, 102206 Beijing, P.R. China and Beijing Key Laboratory of High Voltage & EMC, North China Electric Power University, 102206 Beijing, China. (e-mail: lqicb@163.com)","ORCiD","State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8001-5824","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, 102206 Beijing, P.R. China and Beijing Key Laboratory of High Voltage & EMC, North China Electric Power University, 102206 Beijing, China. (e-mail: lqicb@163.com)","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057229023","display_name":"Mengyu Shao","orcid":null},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengyu Shao","raw_affiliation_strings":["State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, 102206 Beijing, P.R. China and Beijing Key Laboratory of High Voltage & EMC, North China Electric Power University, 102206 Beijing, China","State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, 102206 Beijing, P.R. China and Beijing Key Laboratory of High Voltage & EMC, North China Electric Power University, 102206 Beijing, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020728310","display_name":"Chengrong Li","orcid":"https://orcid.org/0000-0002-1080-4366"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengrong Li","raw_affiliation_strings":["State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, 102206 Beijing, P.R. China and Beijing Key Laboratory of High Voltage & EMC, North China Electric Power University, 102206 Beijing, China","State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, 102206 Beijing, P.R. China and Beijing Key Laboratory of High Voltage & EMC, North China Electric Power University, 102206 Beijing, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082080991","display_name":"Zhihai Rong","orcid":"https://orcid.org/0000-0003-2009-1053"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihai Rong","raw_affiliation_strings":["State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, 102206 Beijing, P.R. China and Beijing Key Laboratory of High Voltage & EMC, North China Electric Power University, 102206 Beijing, China","State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, 102206 Beijing, P.R. China and Beijing Key Laboratory of High Voltage & EMC, North China Electric Power University, 102206 Beijing, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023210920","display_name":"Jinxiang Chen","orcid":"https://orcid.org/0000-0002-0241-7905"},"institutions":[{"id":"https://openalex.org/I4210111970","display_name":"Fujian Electric Power Survey & Design Institute","ror":"https://ror.org/0233jyt67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210111970"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxiang Chen","raw_affiliation_strings":["State Grid Fujian Electric Power Company, 350007 Fuzhou, China","State Grid Fujian Electric Power Company Ltd., Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Fujian Electric Power Company, 350007 Fuzhou, China","institution_ids":["https://openalex.org/I4210111970"]},{"raw_affiliation_string":"State Grid Fujian Electric Power Company Ltd., Fuzhou, China","institution_ids":["https://openalex.org/I4210111970"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100332091","display_name":"Hongbin Wang","orcid":"https://orcid.org/0000-0002-9828-9054"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]},{"id":"https://openalex.org/I867306930","display_name":"Power Grid Corporation (India)","ror":"https://ror.org/0136vj189","country_code":"IN","type":"company","lineage":["https://openalex.org/I867306930"]}],"countries":["CN","IN"],"is_corresponding":false,"raw_author_name":"Hongbin Wang","raw_affiliation_strings":["Electric Power Research Institute of Guangdong Power Grid Co., Ltd, 510620 Guangzhou, China","Electric Power Research Institute of Guangdong Power Grid Company Ltd., Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electric Power Research Institute of Guangdong Power Grid Co., Ltd, 510620 Guangzhou, China","institution_ids":["https://openalex.org/I74872605","https://openalex.org/I867306930"]},{"raw_affiliation_string":"Electric Power Research Institute of Guangdong Power Grid Company Ltd., Guangzhou, China","institution_ids":["https://openalex.org/I74872605"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4818,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.60023316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"156962","last_page":"156972"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dissolved-gas-analysis","display_name":"Dissolved gas analysis","score":0.7576459050178528},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6387149095535278},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5651872158050537},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5623499751091003},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5355073809623718},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42356258630752563},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4215220510959625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34849119186401367},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18643200397491455},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16239845752716064},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.15532904863357544}],"concepts":[{"id":"https://openalex.org/C81818771","wikidata":"https://www.wikidata.org/wiki/Q787515","display_name":"Dissolved gas analysis","level":5,"score":0.7576459050178528},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6387149095535278},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5651872158050537},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5623499751091003},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5355073809623718},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42356258630752563},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4215220510959625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34849119186401367},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18643200397491455},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16239845752716064},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.15532904863357544},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C181335627","wikidata":"https://www.wikidata.org/wiki/Q901418","display_name":"Transformer oil","level":4,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3126763","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3126763","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:16e032e3498142589af0e1bde762e5de","is_oa":true,"landing_page_url":"https://doaj.org/article/16e032e3498142589af0e1bde762e5de","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 156962-156972 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3126763","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3126763","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8729709848","display_name":null,"funder_award_id":"U1866603","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1507259579","https://openalex.org/W1549386224","https://openalex.org/W1554132173","https://openalex.org/W1979717113","https://openalex.org/W1998775978","https://openalex.org/W2021653559","https://openalex.org/W2029291989","https://openalex.org/W2029401646","https://openalex.org/W2038623285","https://openalex.org/W2040704490","https://openalex.org/W2043032216","https://openalex.org/W2055617798","https://openalex.org/W2102264602","https://openalex.org/W2104616372","https://openalex.org/W2111944939","https://openalex.org/W2113244375","https://openalex.org/W2117678665","https://openalex.org/W2118756059","https://openalex.org/W2127132607","https://openalex.org/W2129624644","https://openalex.org/W2134383471","https://openalex.org/W2135818760","https://openalex.org/W2141342378","https://openalex.org/W2141394518","https://openalex.org/W2143681686","https://openalex.org/W2145007766","https://openalex.org/W2145487113","https://openalex.org/W2152254020","https://openalex.org/W2366701965","https://openalex.org/W2621901965","https://openalex.org/W2766916290","https://openalex.org/W2811301190","https://openalex.org/W2896734877","https://openalex.org/W2901897915","https://openalex.org/W2917190209","https://openalex.org/W2950444251","https://openalex.org/W2951836720","https://openalex.org/W3013444895","https://openalex.org/W3024720112","https://openalex.org/W3113032133"],"related_works":["https://openalex.org/W2150798635","https://openalex.org/W2080650820","https://openalex.org/W1964982224","https://openalex.org/W2150451301","https://openalex.org/W2390480142","https://openalex.org/W2354329565","https://openalex.org/W2151118505","https://openalex.org/W2386131991","https://openalex.org/W2123336756","https://openalex.org/W2365729238"],"abstract_inverted_index":{"The":[0,75,183,205],"condition":[1,54,243],"of":[2,22,31,52,87,120,145,153,231,241],"the":[3,19,48,84,91,115,141,146,151,154,157,162,173,176,180,188,193,199,214,222,229,232,238],"transformer":[4,242],"can":[5],"be":[6,60],"accurately":[7],"assessed":[8],"based":[9],"on":[10],"dissolved":[11,32,71,77,93,122,216],"gas":[12,33,72,78,94,123,217],"online":[13],"monitoring":[14],"and":[15,39,90,106,129,170,179,196,220],"analysis":[16,104],"technology.":[17],"With":[18],"widespread":[20],"use":[21],"Dissolved":[23],"Gas":[24],"Analysis":[25],"(DGA)":[26],"technology,":[27],"a":[28,69],"large":[29],"amount":[30],"time":[34,73,79,95,124,147,163,218],"series":[35,80,96,125,164,219],"data":[36,49,67,117,190,207],"is":[37],"obtained":[38],"forms":[40],"DGA":[41],"big":[42],"data,":[43,234],"which":[44,225],"brings":[45],"challenges":[46],"to":[47,82,113,139],"selection":[50,118,208],"process":[51],"traditional":[53],"assessment":[55],"methods.":[56],"Inaccurate":[57],"results":[58,101],"might":[59],"generated":[61],"by":[62,202],"selecting":[63],"excessive":[64,107],"or":[65],"insufficient":[66],"from":[68],"long-span":[70,121,215],"series.":[74,148],"shorter":[76],"fails":[81],"characterize":[83],"operation":[85],"law":[86],"transformers":[88],"fully,":[89],"longer":[92],"contains":[97],"redundant":[98,211],"information":[99,212],"that":[100,160,187],"in":[102,213],"inaccurate":[103],"models":[105],"calculation":[108],"consumption.":[109],"This":[110],"paper":[111],"attempts":[112],"mine":[114],"optimal":[116,177,189,206],"rule":[119,209],"for":[126],"more":[127],"accurate":[128],"efficient":[130],"analysis.":[131],"In":[132],"this":[133],"paper,":[134],"C-C":[135],"method":[136],"was":[137,172],"employed":[138],"calculate":[140],"phase":[142,165],"space":[143,166],"parameters":[144],"By":[149],"analyzing":[150],"convergence":[152],"correlation":[155],"integral,":[156],"boundary":[158],"conditions":[159],"maintain":[161],"stability":[167],"were":[168],"revealed,":[169],"so":[171],"relationship":[174],"between":[175],"length":[178],"embedding":[181],"dimension.":[182],"real":[184],"cases":[185],"show":[186],"set":[191],"provides":[192],"same":[194],"accuracy,":[195],"significantly":[197],"improves":[198,237],"computation":[200,239],"speed":[201,240],"113.54":[203],"times.":[204],"eliminates":[210],"retains":[221],"\u201coptimal":[223],"data\u201d,":[224],"not":[226],"only":[227],"preserves":[228],"characteristics":[230],"original":[233],"but":[235],"also":[236],"assessment.":[244]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
