{"id":"https://openalex.org/W4283580090","doi":"https://doi.org/10.1186/s12911-022-01909-3","title":"Improving patient self-description in Chinese online consultation using contextual prompts","display_name":"Improving patient self-description in Chinese online consultation using contextual prompts","publication_year":2022,"publication_date":"2022-06-27","ids":{"openalex":"https://openalex.org/W4283580090","doi":"https://doi.org/10.1186/s12911-022-01909-3","pmid":"https://pubmed.ncbi.nlm.nih.gov/35761322"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-022-01909-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-022-01909-3","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-022-01909-3","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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 Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-022-01909-3","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100708345","display_name":"Xuedong Li","orcid":"https://orcid.org/0009-0005-3900-4484"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuedong Li","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210125143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027770821","display_name":"Dezhong Peng","orcid":"https://orcid.org/0000-0002-0987-8472"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dezhong Peng","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210125143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100371984","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0002-0278-2347"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yue Wang","raw_affiliation_strings":["School of Information and Library Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. wangyue@email.unc.edu","School of Information and Library Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA"],"raw_orcid":"https://orcid.org/0000-0002-0278-2347","affiliations":[{"raw_affiliation_string":"School of Information and Library Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. wangyue@email.unc.edu","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"School of Information and Library Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100371984"],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":0.5807,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71182372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"22","issue":"1","first_page":"170","last_page":"170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.4708000123500824,"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"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.4708000123500824,"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/T10737","display_name":"Health Literacy and Information Accessibility","score":0.07970000058412552,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.06509999930858612,"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/medical-diagnosis","display_name":"Medical diagnosis","score":0.7177137732505798},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6176049709320068},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.5198255181312561},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5091277956962585},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.506353497505188},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.45923978090286255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44571518898010254},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2833174169063568},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1540912389755249},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.15248212218284607},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.11663737893104553}],"concepts":[{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.7177137732505798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6176049709320068},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.5198255181312561},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5091277956962585},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.506353497505188},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.45923978090286255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44571518898010254},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2833174169063568},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1540912389755249},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.15248212218284607},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.11663737893104553},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003142","descriptor_name":"Communication","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003142","descriptor_name":"Communication","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003142","descriptor_name":"Communication","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007802","descriptor_name":"Language","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007802","descriptor_name":"Language","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007802","descriptor_name":"Language","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010817","descriptor_name":"Physician-Patient Relations","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010817","descriptor_name":"Physician-Patient Relations","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010817","descriptor_name":"Physician-Patient Relations","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012017","descriptor_name":"Referral and Consultation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012017","descriptor_name":"Referral and Consultation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012017","descriptor_name":"Referral and Consultation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-022-01909-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-022-01909-3","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-022-01909-3","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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 Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:35761322","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35761322","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 medical informatics and decision making","raw_type":null},{"id":"pmh:oai:doaj.org/article:6eb80f85fc9f415094e7b66797108ac7","is_oa":false,"landing_page_url":"https://doaj.org/article/6eb80f85fc9f415094e7b66797108ac7","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-15 (2022)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9235151","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9235151","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Inform Decis Mak","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12911-022-01909-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-022-01909-3","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-022-01909-3","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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 Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G3695539467","display_name":null,"funder_award_id":"2021-JB00-00025-GX","funder_id":"https://openalex.org/F4320336736","funder_display_name":"Chengdu Science and Technology Program"}],"funders":[{"id":"https://openalex.org/F4320309652","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291"},{"id":"https://openalex.org/F4320336736","display_name":"Chengdu Science and Technology Program","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4283580090.pdf","grobid_xml":"https://content.openalex.org/works/W4283580090.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W26924883","https://openalex.org/W1995875735","https://openalex.org/W2013787102","https://openalex.org/W2029694543","https://openalex.org/W2045935559","https://openalex.org/W2118978333","https://openalex.org/W2152592639","https://openalex.org/W2886305736","https://openalex.org/W2903928064","https://openalex.org/W2944848758","https://openalex.org/W2945068453","https://openalex.org/W2964154091","https://openalex.org/W2971066408","https://openalex.org/W2991755410","https://openalex.org/W2999309192","https://openalex.org/W3003567994","https://openalex.org/W3037509373","https://openalex.org/W3037683913","https://openalex.org/W3100677077","https://openalex.org/W3135956001","https://openalex.org/W3202855755","https://openalex.org/W4225545910"],"related_works":["https://openalex.org/W1968552888","https://openalex.org/W1527532029","https://openalex.org/W2374116601","https://openalex.org/W3093134843","https://openalex.org/W2378167147","https://openalex.org/W3210777354","https://openalex.org/W2772323916","https://openalex.org/W2281307425","https://openalex.org/W1511346092","https://openalex.org/W2464405057"],"abstract_inverted_index":{"BACKGROUND:":[0],"Online":[1],"health":[2],"care":[3],"consultation":[4,22,44,177,230,236,338],"has":[5],"been":[6],"widely":[7],"adopted":[8],"to":[9,66,83,91,133,161,179,184,280,317],"supplement":[10],"traditional":[11,37],"face-to-face":[12,38],"patient-doctor":[13],"interactions.":[14],"Patients":[15],"benefit":[16],"from":[17,146,314],"this":[18,107],"new":[19],"modality":[20],"of":[21,42,50,88,111,127,268,284,342],"because":[23],"it":[24,172,189],"allows":[25],"for":[26,73,174,328],"time":[27],"flexibility":[28],"by":[29,77,203],"eliminating":[30],"the":[31,36,40,48,78,86,112,136,147,152,192,200,212,246,278,290,301,309,323],"distance":[32],"barrier.":[33],"However,":[34,274],"unlike":[35],"approach,":[39],"success":[41],"online":[43,176,229,337],"heavily":[45],"relies":[46],"on":[47,226],"accuracy":[49],"patient-reported":[51],"conditions":[52],"and":[53,62,99,149,217,221,251,257,272,308],"symptoms.":[54],"The":[55,261],"asynchronous":[56],"interaction":[57],"pattern":[58],"further":[59,157],"requires":[60],"clear":[61],"effective":[63],"patient":[64,183,326],"self-description":[65,307,327],"avoid":[67],"lengthy":[68],"conversation,":[69],"facilitating":[70],"timely":[71],"support":[72],"patients.":[74],"METHOD:":[75],"Inspired":[76],"observation":[79],"that":[80,191],"doctors":[81,312],"talk":[82],"patients":[84],"with":[85,266,339],"goal":[87],"eliciting":[89],"information":[90,143,158,187,311,324],"reduce":[92],"uncertainty":[93,267],"about":[94],"patients'":[95,269],"conditions,":[96,130],"we":[97],"proposed":[98,201],"evaluated":[100,199],"a":[101,117,121,128,163,166,182,296,305,329],"machine":[102],"learning-based":[103],"computational":[104],"model":[105,113,170],"towards":[106],"goal.":[108],"Key":[109],"components":[110],"include":[114],"(1)":[115],"how":[116,132],"doctor":[118,164],"diagnoses":[119],"(predicts)":[120],"disease":[122,242,262,333],"given":[123,151],"natural":[124],"language":[125],"description":[126,138,194],"patient's":[129,137,153,306],"(2)":[131],"measure":[134],"if":[135,188],"is":[139,144,159,195],"incomplete":[140],"or":[141],"more":[142,186],"needed":[145,160],"patient;":[148],"(3)":[150],"current":[154,193],"description,":[155],"what":[156],"help":[162],"reach":[165],"diagnosis":[167],"decision.":[168],"This":[169],"makes":[171],"possible":[173],"an":[175,222],"system":[178],"immediately":[180],"prompt":[181],"provide":[185,318],"senses":[190],"insufficient.":[196],"RESULTS:":[197],"We":[198],"method":[202,239,248],"using":[204],"classification-based":[205],"metrics":[206],"(accuracy,":[207],"macro-averaged":[208],"F-score,":[209],"area":[210],"under":[211],"receiver":[213],"operating":[214],"characteristics":[215],"curve,":[216],"Matthews":[218],"correlation":[219],"coefficient)":[220],"uncertainty-based":[223],"metric":[224],"(entropy)":[225],"three":[227],"Chinese":[228],"corpora.":[231],"When":[232],"there":[233],"was":[234],"one":[235],"round,":[237],"our":[238],"delivered":[240],"better":[241,330],"prediction":[243,263,291],"performance":[244,264,331],"than":[245],"baseline":[247],"(No":[249],"Prompts)":[250],"two":[252],"heuristic":[253,275],"methods":[254],"(Uncertainty-based":[255],"Prompts":[256],"Certainty-based":[258],"Prompts).":[259],"CONCLUSION:":[260],"correlated":[265],"self-described":[270],"symptoms":[271],"conditions.":[273],"solutions":[276],"ignored":[277],"context":[279],"decrease":[281],"large":[282],"amounts":[283],"uncertainty,":[285],"which":[286,320],"did":[287],"not":[288],"improve":[289],"performance.":[292],"By":[293],"elaborate":[294],"design,":[295],"machine-learning":[297],"algorithm":[298],"can":[299,321],"learn":[300],"inner":[302],"connection":[303],"between":[304],"specific":[310],"need":[313],"doctor-patient":[315,343],"conversations":[316],"prompts,":[319],"enrich":[322],"in":[325,332],"prediction,":[334],"thereby":[335],"achieving":[336],"fewer":[340],"rounds":[341],"conversation.":[344]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}