{"id":"https://openalex.org/W2131301064","doi":"https://doi.org/10.1186/1752-0509-8-47","title":"Fast Bayesian inference for gene regulatory networks using ScanBMA","display_name":"Fast Bayesian inference for gene regulatory networks using ScanBMA","publication_year":2014,"publication_date":"2014-04-17","ids":{"openalex":"https://openalex.org/W2131301064","doi":"https://doi.org/10.1186/1752-0509-8-47","mag":"2131301064","pmid":"https://pubmed.ncbi.nlm.nih.gov/24742092"},"language":"en","primary_location":{"id":"doi:10.1186/1752-0509-8-47","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1752-0509-8-47","pdf_url":"https://bmcsystbiol.biomedcentral.com/counter/pdf/10.1186/1752-0509-8-47","source":{"id":"https://openalex.org/S92363890","display_name":"BMC Systems Biology","issn_l":"1752-0509","issn":["1752-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Systems Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://bmcsystbiol.biomedcentral.com/counter/pdf/10.1186/1752-0509-8-47","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035661716","display_name":"William C. Young","orcid":"https://orcid.org/0000-0002-3368-052X"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"William Chad Young","raw_affiliation_strings":["Department of Statistics, Univesity of Washington, 98195, Seattle, WA, USA","Department of Statistics, Univesity of Washington, Seattle, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Univesity of Washington, 98195, Seattle, WA, USA","institution_ids":[]},{"raw_affiliation_string":"Department of Statistics, Univesity of Washington, Seattle, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064414755","display_name":"Adrian E. Raftery","orcid":"https://orcid.org/0000-0002-6589-301X"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adrian E Raftery","raw_affiliation_strings":["Department of Statistics, Univesity of Washington, 98195, Seattle, WA, USA","Department of Statistics, Univesity of Washington, Seattle, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Univesity of Washington, 98195, Seattle, WA, USA","institution_ids":[]},{"raw_affiliation_string":"Department of Statistics, Univesity of Washington, Seattle, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021881439","display_name":"Ka Yee Yeung","orcid":"https://orcid.org/0000-0002-1754-7577"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ka Yee Yeung","raw_affiliation_strings":["Department of Microbiology, University of Washington, Box 357735, 98195-7735, Seattle WA, USA. kayee@uw.edu","Department of Microbiology, University of Washington, Seattle, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Microbiology, University of Washington, Box 357735, 98195-7735, Seattle WA, USA. kayee@uw.edu","institution_ids":[]},{"raw_affiliation_string":"Department of Microbiology, University of Washington, Seattle, USA","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035661716"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":6.1181,"has_fulltext":true,"cited_by_count":85,"citation_normalized_percentile":{"value":0.97261651,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"8","issue":"1","first_page":"47","last_page":"47"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.4999000132083893,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.4999000132083893,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.22259999811649323,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.06970000267028809,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bioconductor","display_name":"Bioconductor","score":0.7752257585525513},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.717901349067688},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7169135808944702},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.591242790222168},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5532026290893555},{"id":"https://openalex.org/keywords/gene-regulatory-network","display_name":"Gene regulatory network","score":0.5293066501617432},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.440085232257843},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.42231664061546326},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34543123841285706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2657550573348999},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.14927372336387634}],"concepts":[{"id":"https://openalex.org/C2779694297","wikidata":"https://www.wikidata.org/wiki/Q2888953","display_name":"Bioconductor","level":3,"score":0.7752257585525513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.717901349067688},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7169135808944702},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.591242790222168},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5532026290893555},{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.5293066501617432},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.440085232257843},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.42231664061546326},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34543123841285706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2657550573348999},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.14927372336387634},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012441","descriptor_name":"Saccharomyces cerevisiae","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D012441","descriptor_name":"Saccharomyces cerevisiae","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D012441","descriptor_name":"Saccharomyces cerevisiae","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/1752-0509-8-47","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1752-0509-8-47","pdf_url":"https://bmcsystbiol.biomedcentral.com/counter/pdf/10.1186/1752-0509-8-47","source":{"id":"https://openalex.org/S92363890","display_name":"BMC Systems Biology","issn_l":"1752-0509","issn":["1752-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Systems Biology","raw_type":"journal-article"},{"id":"pmid:24742092","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24742092","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC systems biology","raw_type":null},{"id":"pmh:oai:digitalcommons.tacoma.uw.edu:tech_pub-1287","is_oa":true,"landing_page_url":"https://bmcsystbiol.biomedcentral.com/articles/10.1186/1752-0509-8-47","pdf_url":null,"source":{"id":"https://openalex.org/S4306400628","display_name":"University of Washington Tacoma Digital Commons (University of Washington Tacoma)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210150356","host_organization_name":"University of Washington Tacoma","host_organization_lineage":["https://openalex.org/I4210150356"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"School of Engineering and Technology Publications","raw_type":"text"},{"id":"pmh:oai:europepmc.org:3001276","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4006459","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/1752-0509-8-47","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1752-0509-8-47","pdf_url":"https://bmcsystbiol.biomedcentral.com/counter/pdf/10.1186/1752-0509-8-47","source":{"id":"https://openalex.org/S92363890","display_name":"BMC Systems Biology","issn_l":"1752-0509","issn":["1752-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Systems Biology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2784309830","display_name":null,"funder_award_id":"5R01GM084163","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3745844921","display_name":null,"funder_award_id":"R01 HD070936","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8594336930","display_name":null,"funder_award_id":"R01 HD054511","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320320847","display_name":"Science Foundation Ireland","ror":"https://ror.org/0271asj38"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2131301064.pdf","grobid_xml":"https://content.openalex.org/works/W2131301064.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W89551800","https://openalex.org/W1603903339","https://openalex.org/W1800261609","https://openalex.org/W1933643226","https://openalex.org/W1963672021","https://openalex.org/W1978394237","https://openalex.org/W1990987722","https://openalex.org/W1998544165","https://openalex.org/W1998757083","https://openalex.org/W2008107402","https://openalex.org/W2010388718","https://openalex.org/W2015271344","https://openalex.org/W2018902666","https://openalex.org/W2023348596","https://openalex.org/W2033284638","https://openalex.org/W2044525257","https://openalex.org/W2049633694","https://openalex.org/W2057331441","https://openalex.org/W2067931273","https://openalex.org/W2069898971","https://openalex.org/W2070302210","https://openalex.org/W2074089196","https://openalex.org/W2089763487","https://openalex.org/W2091826868","https://openalex.org/W2095802318","https://openalex.org/W2097360283","https://openalex.org/W2105891259","https://openalex.org/W2108421561","https://openalex.org/W2108579152","https://openalex.org/W2111051773","https://openalex.org/W2115021853","https://openalex.org/W2116290764","https://openalex.org/W2117853077","https://openalex.org/W2121695897","https://openalex.org/W2122342005","https://openalex.org/W2122825543","https://openalex.org/W2135046866","https://openalex.org/W2136988691","https://openalex.org/W2140514146","https://openalex.org/W2143076232","https://openalex.org/W2152227081","https://openalex.org/W2154835728","https://openalex.org/W2158418996","https://openalex.org/W2161409973","https://openalex.org/W2161868542","https://openalex.org/W2161922735","https://openalex.org/W2163296115","https://openalex.org/W2199776355","https://openalex.org/W2963680191","https://openalex.org/W3099289621","https://openalex.org/W3214323364","https://openalex.org/W4250518393","https://openalex.org/W4294541781"],"related_works":["https://openalex.org/W2135678793","https://openalex.org/W2109288169","https://openalex.org/W2978247079","https://openalex.org/W2950199998","https://openalex.org/W2560421304","https://openalex.org/W249159571","https://openalex.org/W2951387065","https://openalex.org/W2134575910","https://openalex.org/W4385727351","https://openalex.org/W4306798985"],"abstract_inverted_index":{"BACKGROUND:":[0],"Genome-wide":[1],"time-series":[2,160],"data":[3,17,50,96,156,162],"provide":[4,41],"a":[5,42,66,86,176],"rich":[6],"set":[7],"of":[8,36,38,48,78,102,179,220],"information":[9,73],"for":[10,18,45,113],"discovering":[11],"gene":[12],"regulatory":[13],"relationships.":[14,59],"As":[15],"genome-wide":[16],"mammalian":[19],"systems":[20],"are":[21],"being":[22],"generated,":[23],"it":[24],"is":[25,118,132,211],"critical":[26],"to":[27,74,89,98,109,148],"develop":[28],"network":[29,128,215],"inference":[30,68,216],"methods":[31,151,203,217],"that":[32,70,169],"can":[33],"handle":[34],"tens":[35],"thousands":[37],"genes":[39],"efficiently,":[40],"systematic":[43],"framework":[44],"the":[46,76,79,92,100,107,111,124,135,139,164,183,194],"integration":[47],"multiple":[49],"sources,":[51],"and":[52,56,63,105,197,204],"yield":[53],"robust,":[54],"accurate":[55],"compact":[57,173],"gene-to-gene":[58],"RESULTS:":[60],"We":[61,145,167],"developed":[62,85],"applied":[64,95],"ScanBMA,":[65],"Bayesian":[67],"method":[69,117,131],"incorporates":[71],"external":[72],"improve":[75],"accuracy":[77],"inferred":[80],"network.":[81],"In":[82,208],"particular,":[83],"we":[84],"new":[87],"strategy":[88],"efficiently":[90],"search":[91,112],"model":[93],"space,":[94],"transformations":[97],"reduce":[99],"effect":[101],"spurious":[103],"relationships,":[104],"adopted":[106],"g-prior":[108],"guide":[110],"candidate":[114],"regulators.":[115],"Our":[116],"highly":[119],"computationally":[120],"efficient,":[121],"thus":[122],"addressing":[123],"scalability":[125],"issue":[126],"with":[127,175,213],"inference.":[129],"The":[130],"implemented":[133],"as":[134,157,159],"ScanBMA":[136,147,170,187,210],"function":[137],"in":[138,218],"networkBMA":[140],"Bioconductor":[141],"software":[142],"package.":[143],"CONCLUSIONS:":[144],"compared":[146],"other":[149,201,214],"popular":[150],"using":[152],"time":[153],"series":[154],"yeast":[155],"well":[158],"simulated":[161],"from":[163],"DREAM":[165],"competition.":[166],"found":[168],"produced":[171,189],"more":[172,190],"networks":[174],"greater":[177],"proportion":[178],"true":[180],"positives":[181],"than":[182,200],"competing":[184],"methods.":[185,207],"Specifically,":[186],"generally":[188],"favorable":[191],"areas":[192],"under":[193],"Receiver-Operating":[195],"Characteristic":[196],"Precision-Recall":[198],"curves":[199],"regression-based":[202],"mutual-information":[205],"based":[206],"addition,":[209],"competitive":[212],"terms":[219],"running":[221],"time.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":19},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":3}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}
