{"id":"https://openalex.org/W3199145056","doi":"https://doi.org/10.1109/tvcg.2021.3114864","title":"Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making","display_name":"Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making","publication_year":2021,"publication_date":"2021-09-29","ids":{"openalex":"https://openalex.org/W3199145056","doi":"https://doi.org/10.1109/tvcg.2021.3114864","mag":"3199145056","pmid":"https://pubmed.ncbi.nlm.nih.gov/34587081"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2021.3114864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2021.3114864","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2103.02071","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039118804","display_name":"Alexandra Zytek","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alexandra Zytek","raw_affiliation_strings":["MIT, United States","[MIT (e-mail: zyteka@mit.edu)]"],"affiliations":[{"raw_affiliation_string":"MIT, United States","institution_ids":["https://openalex.org/I4210110987"]},{"raw_affiliation_string":"[MIT (e-mail: zyteka@mit.edu)]","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101769619","display_name":"Dongyu Liu","orcid":"https://orcid.org/0000-0002-8915-2785"},"institutions":[{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]},{"id":"https://openalex.org/I4210109586","display_name":"Moscow Institute of Thermal Technology","ror":"https://ror.org/021es5e59","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210109586"]}],"countries":["RU","US"],"is_corresponding":false,"raw_author_name":"Dongyu Liu","raw_affiliation_strings":["MIT, United States","[MIT (e-mail: dongyu@mit.edu)]"],"affiliations":[{"raw_affiliation_string":"MIT, United States","institution_ids":["https://openalex.org/I4210110987"]},{"raw_affiliation_string":"[MIT (e-mail: dongyu@mit.edu)]","institution_ids":["https://openalex.org/I4210109586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052479150","display_name":"Rhema Vaithianathan","orcid":"https://orcid.org/0000-0002-8899-5254"},"institutions":[{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Rhema Vaithianathan","raw_affiliation_strings":["Auckland University of Technology, New Zealand","[Auckland University of Technology (e-mail: rhema.vaithianathan@aut.ac.nz)]"],"affiliations":[{"raw_affiliation_string":"Auckland University of Technology, New Zealand","institution_ids":["https://openalex.org/I39854758"]},{"raw_affiliation_string":"[Auckland University of Technology (e-mail: rhema.vaithianathan@aut.ac.nz)]","institution_ids":["https://openalex.org/I39854758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067352490","display_name":"Kalyan Veeramachaneni","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kalyan Veeramachaneni","raw_affiliation_strings":["MIT, United States","[MIT (e-mail: kalyan@csail.mit.edu)]"],"affiliations":[{"raw_affiliation_string":"MIT, United States","institution_ids":["https://openalex.org/I4210110987"]},{"raw_affiliation_string":"[MIT (e-mail: kalyan@csail.mit.edu)]","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039118804"],"corresponding_institution_ids":["https://openalex.org/I4210110987"],"apc_list":null,"apc_paid":null,"fwci":0.4855,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.65474228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"28","issue":"1","first_page":"1161","last_page":"1171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9958000183105469,"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"}},{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.9861000180244446,"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/usability","display_name":"Usability","score":0.8423702716827393},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.728322446346283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6882971525192261},{"id":"https://openalex.org/keywords/interactivity","display_name":"Interactivity","score":0.6470181941986084},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6229009628295898},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5564720630645752},{"id":"https://openalex.org/keywords/subject-matter-expert","display_name":"Subject-matter expert","score":0.5336647033691406},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4918227195739746},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.48176074028015137},{"id":"https://openalex.org/keywords/guideline","display_name":"Guideline","score":0.47907429933547974},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47743019461631775},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4489325284957886},{"id":"https://openalex.org/keywords/iterative-and-incremental-development","display_name":"Iterative and incremental development","score":0.44475695490837097},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.43722081184387207},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4212295413017273},{"id":"https://openalex.org/keywords/learning-analytics","display_name":"Learning analytics","score":0.41354861855506897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38915905356407166},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3349706828594208},{"id":"https://openalex.org/keywords/expert-system","display_name":"Expert system","score":0.3227323293685913},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.23545604944229126},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17856428027153015},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09941035509109497}],"concepts":[{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.8423702716827393},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.728322446346283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6882971525192261},{"id":"https://openalex.org/C144430266","wikidata":"https://www.wikidata.org/wiki/Q839721","display_name":"Interactivity","level":2,"score":0.6470181941986084},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6229009628295898},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5564720630645752},{"id":"https://openalex.org/C105002631","wikidata":"https://www.wikidata.org/wiki/Q4833645","display_name":"Subject-matter expert","level":3,"score":0.5336647033691406},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4918227195739746},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.48176074028015137},{"id":"https://openalex.org/C2780182762","wikidata":"https://www.wikidata.org/wiki/Q1630279","display_name":"Guideline","level":2,"score":0.47907429933547974},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47743019461631775},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4489325284957886},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.44475695490837097},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43722081184387207},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4212295413017273},{"id":"https://openalex.org/C2777648619","wikidata":"https://www.wikidata.org/wiki/Q2845208","display_name":"Learning analytics","level":2,"score":0.41354861855506897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38915905356407166},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3349706828594208},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.3227323293685913},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.23545604944229126},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17856428027153015},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09941035509109497},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tvcg.2021.3114864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2021.3114864","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:34587081","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34587081","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":"IEEE transactions on visualization and computer graphics","raw_type":null},{"id":"pmh:oai:arXiv.org:2103.02071","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.02071","pdf_url":"https://arxiv.org/pdf/2103.02071","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3199145056","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2103.02071.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2103.02071","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2103.02071","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2103.02071","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.02071","pdf_url":"https://arxiv.org/pdf/2103.02071","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7900000214576721}],"awards":[{"id":"https://openalex.org/G1726388308","display_name":null,"funder_award_id":"1761812","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3199145056.pdf"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W2142493242","https://openalex.org/W2345597971","https://openalex.org/W2394669110","https://openalex.org/W2566414722","https://openalex.org/W2594475271","https://openalex.org/W2607223307","https://openalex.org/W2752194699","https://openalex.org/W2804604520","https://openalex.org/W2807124908","https://openalex.org/W2886614482","https://openalex.org/W2892741787","https://openalex.org/W2923421605","https://openalex.org/W2942444880","https://openalex.org/W2945976633","https://openalex.org/W2962790223","https://openalex.org/W2962862931","https://openalex.org/W2965446359","https://openalex.org/W2969476445","https://openalex.org/W2970533824","https://openalex.org/W4239815525","https://openalex.org/W6718991148","https://openalex.org/W6736474757","https://openalex.org/W6737947904","https://openalex.org/W6743381027","https://openalex.org/W6765451912","https://openalex.org/W6766846328"],"related_works":["https://openalex.org/W3203348860","https://openalex.org/W2405428281","https://openalex.org/W2807285274","https://openalex.org/W2346979513","https://openalex.org/W1529185199","https://openalex.org/W2169322284","https://openalex.org/W3200827271","https://openalex.org/W3135436544","https://openalex.org/W2998351073","https://openalex.org/W1544892274","https://openalex.org/W33266119","https://openalex.org/W2966635169","https://openalex.org/W3192355785","https://openalex.org/W2277031675","https://openalex.org/W3161833897","https://openalex.org/W3160909372","https://openalex.org/W3130961166","https://openalex.org/W2994732601","https://openalex.org/W2913707177","https://openalex.org/W2076983639"],"abstract_inverted_index":{"Machine":[0],"learning":[1],"(ML)":[2],"is":[3,166],"being":[4],"applied":[5],"to":[6,33,37,59,71,135,151,203],"a":[7,72,95,190,196],"diverse":[8],"and":[9,63,114,126,144,155,177,207,220],"ever-growing":[10],"set":[11],"of":[12,52,68,90,97,157,163,192],"domains.":[13],"In":[14,76],"many":[15],"cases,":[16],"domain":[17,89,115,223],"experts":[18,116],"-":[19,30],"who":[20,201],"often":[21],"have":[22],"no":[23],"expertise":[24],"in":[25,55,87,128],"ML":[26,35,42,82,110,124,133,212],"or":[27],"data":[28],"science":[29],"are":[31],"asked":[32],"use":[34],"predictions":[36],"make":[38],"high-stakes":[39],"decisions.":[40],"Multiple":[41],"usability":[43,83],"challenges":[44,84,125],"can":[45],"appear":[46],"as":[47,50,195],"result,":[48],"such":[49],"lack":[51],"user":[53,171],"trust":[54],"the":[56,81,88,104,109,153],"model,":[57],"inability":[58],"reconcile":[60],"human-ML":[61],"disagreement,":[62],"ethical":[64],"concerns":[65],"about":[66],"oversimplification":[67],"complex":[69],"problems":[70],"single":[73],"algorithm":[74],"output.":[75],"this":[77],"paper,":[78],"we":[79,119,142,188],"investigate":[80],"that":[85],"present":[86],"child":[91,100,217],"welfare":[92,101,218],"screening":[93],"through":[94],"series":[96],"collaborations":[98],"with":[99,173],"screeners.":[102],"Following":[103],"iterative":[105],"design":[106,193],"process":[107],"between":[108],"scientists,":[111],"visualization":[112,209],"researchers,":[113],"(child":[117],"screeners),":[118],"first":[120],"identified":[121],"four":[122],"key":[123],"honed":[127],"on":[129],"one":[130],"promising":[131],"explainable":[132],"technique":[134],"address":[136],"them":[137],"(local":[138],"factor":[139,159],"contributions).":[140],"Then":[141],"implemented":[143],"evaluated":[145],"our":[146,164],"visual":[147],"analytics":[148],"tool,":[149],"Sibyl,":[150],"increase":[152],"interpretability":[154],"interactivity":[156],"local":[158],"contributions.":[160],"The":[161],"effectiveness":[162],"tool":[165,210],"demonstrated":[167],"by":[168],"two":[169],"formal":[170],"studies":[172],"12":[174],"non-expert":[175],"participants":[176,180],"13":[178],"expert":[179],"respectively.":[181],"Valuable":[182],"feedback":[183],"was":[184],"collected,":[185],"from":[186],"which":[187],"composed":[189],"list":[191],"implications":[194],"useful":[197],"guideline":[198],"for":[199,211,216],"researchers":[200],"aim":[202],"develop":[204],"an":[205],"interpretable":[206],"interactive":[208],"prediction":[213],"models":[214],"deployed":[215],"screeners":[219],"other":[221],"similar":[222],"experts.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
