{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1076,"total_is_capped":false,"direct_labels_cover":11,"predictions_cover":1076,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"10ab8eedea4a","filters":{"venue":"Journal of Medical Internet Research"}},"results":[{"id":"W2013578576","doi":"10.2196/jmir.6.3.e34","title":"Improving the Quality of Web Surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES)","year":2004,"lang":"en","type":"editorial","venue":"Journal of Medical Internet Research","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":6373,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"JMIR Publications; University of Toronto; University Health Network","funders":"","keywords":"Checklist; The Internet; Consolidated Standards of Reporting Trials; Sample (material); Quality (philosophy); Web application; World Wide Web; MEDLINE; Psychology; Medical education; Medicine; Randomized controlled trial; Computer science; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.4319190424715538,"gpt":0.587024222529761,"spread":0.1551051800582073,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.8797155,0.0002746382,0.00143892,0.0003572334,0.0003033791,0.0001472552,0.004775099,0.001992383,0.0002799568],"category_scores_gemma":[0.9093404,0.0001509067,0.0007790398,0.0007244002,0.00519431,0.0001554667,0.0007510944,0.006827736,0.000003100192],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004849901,"about_ca_system_score_gemma":0.01402302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08345933,"about_ca_topic_score_gemma":0.03898729,"domain_scores_codex":[0.3896049,0.5587741,0.018061,0.001431584,0.0295256,0.002602832],"domain_scores_gemma":[0.3995706,0.5676311,0.01803582,0.001413077,0.0126061,0.0007433853],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009929093,0.0002699917,0.0005324335,0.0004566972,0.0005517842,0.00007877701,0.01341411,0.000001804295,0.000269001,0.0003469684,0.9634352,0.01071419],"study_design_scores_gemma":[0.006171535,0.00253359,0.01301927,0.003779501,0.0001557015,0.00003732413,0.01775175,0.0001408892,0.00311931,0.00236198,0.9503936,0.0005355565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.1543163,0.003545249,0.01508241,0.01644841,0.8051289,0.00180985,0.0005606849,0.0000320579,0.00307611],"genre_scores_gemma":[0.5101463,0.001448049,0.0006561489,0.00005755337,0.4727356,0.00004824814,0.00006570223,0.00008171883,0.01476075],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.35583,"threshold_uncertainty_score":0.9993032,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1967390644","doi":"10.2196/jmir.8.4.e27","title":"eHEALS: The eHealth Literacy Scale","year":2006,"lang":"de","type":"article","venue":"Journal of Medical Internet Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":2724,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"York University; University of Toronto; Toronto Public Health","funders":"Canadian Institutes of Health Research; Health Canada","keywords":"eHealth; Health literacy; Context (archaeology); Literacy; Population; Scale (ratio); Computer science; Data science; Psychology; Health care; Medicine; Environmental health; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.1146206546977595,"gpt":0.5683213358524738,"spread":0.4537006811547143,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.1164126,0.000308099,0.0008962968,0.0007715914,0.00119122,0.0004266021,0.003274428,0.001111506,0.02048577],"category_scores_gemma":[0.01090001,0.0001710794,0.0003598028,0.001297153,0.001079277,0.00146557,0.000913098,0.01564638,0.003418695],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106617,"about_ca_system_score_gemma":0.007883714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005433008,"about_ca_topic_score_gemma":0.0003499113,"domain_scores_codex":[0.9665989,0.01380197,0.008055943,0.0003788362,0.00910431,0.002060064],"domain_scores_gemma":[0.9796595,0.009695311,0.00249865,0.0009170428,0.005328077,0.00190141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006524254,0.0007735599,0.02573806,0.002026341,0.00006334609,0.00009062436,0.01373022,0.000002314503,0.000002269857,0.004092433,0.86205,0.09077838],"study_design_scores_gemma":[0.001709484,0.0006609367,0.02469659,0.004734407,0.00002474567,0.00007744242,0.00271461,0.0105604,0.00002112303,0.003222147,0.9514291,0.0001490649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5779611,0.03706281,0.005771418,0.3440107,0.01498318,0.002143808,0.00007448944,0.00004574974,0.01794674],"genre_scores_gemma":[0.9379551,0.008066108,0.0007383963,0.01669163,0.02210241,0.00004410076,0.00003780978,0.00005822342,0.01430615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3599941,"threshold_uncertainty_score":0.9977407,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2031201873","doi":"10.2196/jmir.7.1.e11","title":"The Law of Attrition","year":2005,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Obesity and Health Practices","field":"Health Professions","cited_by":2681,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University Health Network","funders":"","keywords":"eHealth; Attrition; Clinical trial; The Internet; Population; Dropout (neural networks); Discontinuation; Publication; Psychology; Computer science; Internet privacy; Medicine; Health care; World Wide Web; Political science; Advertising; Psychiatry; Business; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.34389713820614,"gpt":0.6450151425436906,"spread":0.3011180043375506,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.03170004,0.00004715959,0.0002003902,0.0001145042,0.0004562815,0.00001558896,0.0007289061,0.0002585934,0.00645596],"category_scores_gemma":[0.005657404,0.00002615827,0.00006946355,0.0001570935,0.0004152303,0.0002150168,0.0002040764,0.004111626,0.0005539862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001472175,"about_ca_system_score_gemma":0.0008555229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008996833,"about_ca_topic_score_gemma":0.003630942,"domain_scores_codex":[0.9930983,0.002732586,0.0009731235,0.00007022786,0.002692902,0.0004328887],"domain_scores_gemma":[0.9893652,0.008604655,0.0004423141,0.0001526179,0.001079171,0.0003560048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000852865,0.0004683372,0.003294927,0.0006250917,0.00008097907,0.00005970355,0.004834607,7.53688e-7,0.00009940699,0.1338525,0.8071253,0.04870555],"study_design_scores_gemma":[0.0007445401,0.0003999548,0.002002447,0.001192762,0.000006002222,0.00002582272,0.003065581,0.0002435335,0.0001548495,0.0014616,0.9906773,0.00002560186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5104738,0.005997419,0.0002793141,0.418474,0.001251572,0.000386856,0.000002441119,0.000009382569,0.06312519],"genre_scores_gemma":[0.9845343,0.005147875,0.0001736513,0.001597708,0.00236545,0.000006224047,4.308798e-7,0.000007379521,0.006166977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4740605,"threshold_uncertainty_score":0.9981859,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2150353123","doi":"10.2196/jmir.8.2.e9","title":"eHealth Literacy: Essential Skills for Consumer Health in a Networked World","year":2006,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":2557,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University Health Network; Vancouver Coastal Health Research Institute; University of Toronto; Vancouver Coastal Health","funders":"Canadian Institutes of Health Research; Health Canada","keywords":"eHealth; Health literacy; Literacy; Health care; Information literacy; Population; Set (abstract data type); Public relations; Medical education; Knowledge management; Medicine; Computer science; Internet privacy; Psychology; World Wide Web; Political science; Pedagogy; Environmental health","retraction":null,"screen_n_in":null,"score":{"opus":0.1752535360108935,"gpt":0.6357331515023248,"spread":0.4604796154914313,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.08368012,0.0004417583,0.003737433,0.002697426,0.0004165167,0.0001247909,0.001991526,0.001205248,0.003378466],"category_scores_gemma":[0.007641105,0.000294713,0.0006934875,0.001846389,0.000317268,0.0006721175,0.0005106482,0.01349725,0.0002300281],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002495311,"about_ca_system_score_gemma":0.02368328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001682006,"about_ca_topic_score_gemma":0.00175723,"domain_scores_codex":[0.9697268,0.01177151,0.01244202,0.0004945752,0.003325553,0.002239531],"domain_scores_gemma":[0.9773464,0.01337933,0.00487341,0.0005912391,0.00210858,0.001701034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009975997,0.0002651757,0.0001765934,0.03837598,0.00003963688,0.00001804958,0.0007148263,1.752817e-7,7.440497e-10,0.00031878,0.3588596,0.6011314],"study_design_scores_gemma":[0.001544546,0.000260406,0.00005709331,0.1048237,0.00002351595,0.00003460478,0.00006932036,0.0005693725,1.871039e-8,0.0003307525,0.8921155,0.0001710897],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005657557,0.9823713,0.002366391,0.006641235,0.00309409,0.004018161,0.0001084083,0.00002099614,0.001322865],"genre_scores_gemma":[0.00003731054,0.9833727,0.001072746,0.003431555,0.004000155,0.0003544727,0.0002463068,0.00006617037,0.007418575],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6009604,"threshold_uncertainty_score":0.9999505,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2072181779","doi":"10.2196/jmir.1923","title":"CONSORT-EHEALTH: Improving and Standardizing Evaluation Reports of Web-based and Mobile Health Interventions","year":2011,"lang":"en","type":"editorial","venue":"Journal of Medical Internet Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":2025,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University Health Network","funders":"Weill Cornell Medical College; Universitat Autònoma de Barcelona; Bezmialem Vakıf Üniversitesi; Universidad de Valladolid; Syddansk Universitet; Radboud Universiteit; Universitat de Barcelona; Radboud Universitair Medisch Centrum; Universitetet i Oslo; Trakya Üniversitesi; Tehran University of Medical Sciences and Health Services; Mahidol University; Universiteit Maastricht; University of Oxford; Vrije Universiteit Amsterdam; Care and Public Health Research Institute, Universiteit Maastricht; Monash University; Université Laval; Universiteit van Amsterdam; University of Leeds; San José State University; McMaster University; University of New South Wales; Oulun Yliopisto; George Washington University; Northwestern University","keywords":"eHealth; mHealth; Consolidated Standards of Reporting Trials; Psychological intervention; Checklist; The Internet; Medicine; Telehealth; Health care; Telemedicine; Internet privacy; Nursing; Computer science; Psychology; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.164527151971581,"gpt":0.5650031790961467,"spread":0.4004760271245658,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04624826,0.0002532047,0.001082741,0.001197894,0.0001092229,0.0001128254,0.0005290342,0.0008269979,0.002374846],"category_scores_gemma":[0.009601963,0.0002192909,0.0003598462,0.0002638887,0.0008547906,0.0001854109,0.0003996781,0.003776679,0.000007700021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007663883,"about_ca_system_score_gemma":0.005125691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002275016,"about_ca_topic_score_gemma":0.000646919,"domain_scores_codex":[0.986782,0.002565642,0.003586613,0.0005337241,0.005844906,0.0006870865],"domain_scores_gemma":[0.9907594,0.002483917,0.0027346,0.0004339217,0.002520048,0.001068113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004311805,0.0008889418,0.0002058965,0.003704399,0.0002264529,0.000249029,0.0007960218,1.916227e-7,0.000002361556,0.0002018431,0.8221291,0.1711646],"study_design_scores_gemma":[0.008685034,0.0441657,0.0007681685,0.05893408,0.0003362025,0.001388079,0.003296426,0.0006893947,0.00009824344,0.002896262,0.8781806,0.0005618482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.07088891,0.06043971,0.001176704,0.002519459,0.8592163,0.003056773,0.0004236973,0.0000359847,0.002242408],"genre_scores_gemma":[0.9019833,0.001069448,0.0004373998,0.00007613166,0.0942623,0.0003769497,0.0001188299,0.000109978,0.001565663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8310944,"threshold_uncertainty_score":0.9987406,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1984926150","doi":"10.2196/jmir.1157","title":"Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet","year":2009,"lang":"en","type":"editorial","venue":"Journal of Medical Internet Research","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":1412,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"The Internet; Computer science; Social media; Health informatics; Public health; Public health informatics; Public health surveillance; Population; Data science; World Wide Web; Internet privacy; Health policy; Medicine; Environmental health; HRHIS","retraction":null,"screen_n_in":null,"score":{"opus":0.195690452474405,"gpt":0.563388056423884,"spread":0.367697603949479,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.05670451,0.0002669182,0.001209758,0.001174248,0.00009401811,0.0002104946,0.001659989,0.0008891579,0.0001370069],"category_scores_gemma":[0.09481916,0.000177987,0.0001454253,0.0005950944,0.0007049226,0.0002843955,0.0007430329,0.004916548,0.000003434225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003894677,"about_ca_system_score_gemma":0.002228558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002640402,"about_ca_topic_score_gemma":0.0001036412,"domain_scores_codex":[0.9894038,0.003704063,0.002330091,0.0002943999,0.003601369,0.0006662745],"domain_scores_gemma":[0.9800333,0.0120388,0.001349447,0.001059112,0.004009085,0.001510233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005046471,0.0001763894,0.001312858,0.0004474577,0.000184431,0.000004030215,0.003010409,7.359446e-7,0.00000291916,0.001966775,0.7931123,0.1992771],"study_design_scores_gemma":[0.001271787,0.005549931,0.004823325,0.002459699,0.00005729064,0.00006957213,0.001662869,0.003363834,0.00001567252,0.0007117084,0.9798366,0.0001776421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.1734181,0.0139156,0.2472429,0.4458555,0.1056483,0.01076545,0.001887804,0.0001649311,0.001101299],"genre_scores_gemma":[0.1952386,0.06522385,0.3230379,0.0178812,0.3882684,0.0008546147,0.007553768,0.0004235303,0.001518085],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4279743,"threshold_uncertainty_score":0.9973791,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2091865253","doi":"10.2196/jmir.1672","title":"A Holistic Framework to Improve the Uptake and Impact of eHealth Technologies","year":2011,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1268,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Centre for Global Health Research","funders":"University of Twente","keywords":"eHealth; Health care; Interdependence; Knowledge management; Digital health; Computer science; Sociology; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.3499249254897845,"gpt":0.6401260235780993,"spread":0.2902010980883148,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.02239147,0.0003061073,0.002084645,0.0009661343,0.0003344058,0.00001966857,0.002384008,0.001713047,0.001069604],"category_scores_gemma":[0.02490798,0.0001475645,0.0004131148,0.001058335,0.0006498746,0.0000463627,0.001052346,0.01327102,0.0001669981],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006925638,"about_ca_system_score_gemma":0.01300186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001495295,"about_ca_topic_score_gemma":0.0001059278,"domain_scores_codex":[0.9908758,0.002248594,0.003300322,0.0003713295,0.001933408,0.001270547],"domain_scores_gemma":[0.985532,0.008950254,0.001798872,0.0009096404,0.001222902,0.001586356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007155615,0.00008841198,0.00004775361,0.0170231,0.00009758966,0.00001320345,0.0004835802,1.284012e-8,5.409563e-8,0.01083419,0.05570574,0.9156348],"study_design_scores_gemma":[0.0002217725,0.001260533,0.0001343818,0.03825283,0.00008203082,0.00008792598,0.0006703874,0.000007529523,7.654499e-8,0.003368718,0.9558253,0.00008845769],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002007287,0.9887536,0.0007569815,0.004833805,0.0006900105,0.004178311,0.00005648849,0.00002447112,0.0005056338],"genre_scores_gemma":[0.000699151,0.995414,0.0005037647,0.0002646637,0.0008527618,0.00178046,0.000003587597,0.00004789913,0.0004337558],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9155464,"threshold_uncertainty_score":0.9998435,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2121719057","doi":"10.2196/jmir.1030","title":"Medicine 2.0: Social Networking, Collaboration, Participation, Apomediation, and Openness","year":2008,"lang":"en","type":"editorial","venue":"Journal of Medical Internet Research","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":1155,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University Health Network; University of Toronto","funders":"Canadian Institutes of Health Research; Max-Planck-Gesellschaft","keywords":"eHealth; World Wide Web; The Internet; Openness to experience; Web 2.0; Health care; Internet privacy; Medicine; Psychology; Computer science; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.213760751328479,"gpt":0.5731647517358128,"spread":0.3594040004073338,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.0313882,0.0002256917,0.0008367253,0.000743394,0.0009436875,0.0002299361,0.001428364,0.002121424,0.001705257],"category_scores_gemma":[0.1875472,0.0001966916,0.00008278582,0.001582461,0.003135093,0.0003892253,0.0001935208,0.004131108,0.00002821239],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001267429,"about_ca_system_score_gemma":0.01404131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007665776,"about_ca_topic_score_gemma":0.005361909,"domain_scores_codex":[0.978709,0.004233838,0.001718389,0.0003682583,0.01412919,0.0008413071],"domain_scores_gemma":[0.9622957,0.02430707,0.001358374,0.0001867259,0.01052323,0.001328883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007342204,0.00009437637,0.000461654,0.00008857386,0.00005782352,0.00004192983,0.08420498,1.402394e-7,3.295752e-7,0.0008543421,0.9031764,0.01094608],"study_design_scores_gemma":[0.0007975911,0.0003151272,0.0006025672,0.0006719647,0.00003870949,0.000004403862,0.00707979,0.00002169295,0.000001209489,0.0008138646,0.9895021,0.0001509268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.005235292,0.00550559,0.00005578679,0.08310316,0.9038615,0.0008244991,0.000007490717,0.00002155225,0.001385129],"genre_scores_gemma":[0.01443003,0.03043622,0.00003240387,0.0001800353,0.9538549,0.0001856862,0.00006068496,0.00004166844,0.0007783619],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.156159,"threshold_uncertainty_score":0.9995778,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1965964177","doi":"10.2196/jmir.2012","title":"Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact","year":2011,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":1121,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University Health Network; JMIR Publications; University of Toronto","funders":"","keywords":"Altmetrics; Social media; Microblogging; Ranking (information retrieval); Impact factor; Citation; Bibliometrics; Marketing buzz; Computer science; Citation impact; Data science; Information retrieval; World Wide Web; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.4018375767833977,"gpt":0.5246614065062699,"spread":0.1228238297228722,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01426473,0.00009385052,0.0003060848,0.001964792,0.0002217528,0.00006419365,0.0004512699,0.0002396827,0.001652056],"category_scores_gemma":[0.02335755,0.00006725945,0.000124162,0.002748376,0.001709166,0.0002126579,0.0000259693,0.0009106868,0.000002055258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006864183,"about_ca_system_score_gemma":0.004903045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004928419,"about_ca_topic_score_gemma":0.0003834677,"domain_scores_codex":[0.991939,0.001162573,0.000658525,0.000156459,0.0057257,0.0003577328],"domain_scores_gemma":[0.9902281,0.006343578,0.0005851034,0.00009964994,0.002154633,0.0005888994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001582149,0.002189599,0.7726246,0.0002146228,0.0002964544,0.0000370472,0.1556212,0.00002652461,0.00006488363,0.004935497,0.03463903,0.02776838],"study_design_scores_gemma":[0.001394173,0.003672314,0.9798349,0.0004178431,0.00005691808,0.0000111527,0.00738232,0.004230628,0.0002609953,0.002295423,0.0003258983,0.0001174682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936848,0.00008802221,0.0005396689,0.003170786,0.0009946227,0.0003603275,0.00002359584,0.000004370998,0.001133795],"genre_scores_gemma":[0.9989645,0.00003524844,0.0003669587,0.00003001319,0.0005392284,0.00001424745,0.000009934858,0.00001031659,0.0000295432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2072103,"threshold_uncertainty_score":0.9992605,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2028930346","doi":"10.2196/jmir.7.1.e1","title":"What Is eHealth (3): A Systematic Review of Published Definitions","year":2005,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":1037,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; University of Toronto","keywords":"eHealth; The Internet; MEDLINE; Computer science; Relevance (law); World Wide Web; Health care; Information overload; Internet privacy; Information retrieval; Medicine; Data science; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.3775863040484267,"gpt":0.637779704351392,"spread":0.2601934003029653,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","research_integrity","insufficient_payload"],"category_scores_codex":[0.1144419,0.0003555562,0.005559964,0.001377517,0.0002545213,0.0001479728,0.002978885,0.001297949,0.03067867],"category_scores_gemma":[0.04708165,0.00020357,0.001053642,0.001500184,0.0002987266,0.002308939,0.0006512279,0.01182814,0.001102439],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230545,"about_ca_system_score_gemma":0.01578208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009457314,"about_ca_topic_score_gemma":0.00001952784,"domain_scores_codex":[0.9590382,0.015522,0.01689535,0.0003362316,0.007163083,0.001045143],"domain_scores_gemma":[0.9708784,0.01103433,0.009121725,0.001174391,0.006140942,0.001650248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000008378563,0.0001204036,0.000001820459,0.7041151,0.0001034827,0.000009869793,0.0008182377,1.193071e-9,4.207042e-10,0.0007066629,0.1786926,0.1154235],"study_design_scores_gemma":[0.0001660966,0.00009470084,4.161995e-7,0.5099022,0.0001543353,0.00007715813,0.0003800522,0.00001547285,1.246332e-8,0.00008271573,0.4890611,0.00006565155],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001340614,0.9802836,0.000130766,0.0113216,0.001684446,0.003525042,0.00005072134,0.00001329634,0.002989194],"genre_scores_gemma":[0.000002330868,0.9872113,0.0001841439,0.009502816,0.001025614,0.0003304677,0.00006191261,0.00003660775,0.001644803],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3103686,"threshold_uncertainty_score":0.9999986,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gpt","categories":[],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high"},{"model":"grok","categories":[],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high"},{"model":"opus","categories":[],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"medium"}],"label_agreement":"agree"},{"id":"W2747587219","doi":"10.2196/jmir.7071","title":"The Use of Facebook in Recruiting Participants for Health Research Purposes: A Systematic Review","year":2017,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":792,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Internet privacy; Social media; Psychology; Systematic review; MEDLINE; World Wide Web; Medicine; Applied psychology; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.955916298959609,"gpt":0.7570215887201007,"spread":0.1988947102395082,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2840365,0.0001941143,0.003301933,0.000777214,0.0008727649,0.0003954132,0.00405609,0.0005777882,0.0001166232],"category_scores_gemma":[0.6521434,0.0001162343,0.0005309021,0.0009024839,0.001938487,0.0002393919,0.0003487908,0.004637282,0.00003293146],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002483153,"about_ca_system_score_gemma":0.02811316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005904259,"about_ca_topic_score_gemma":0.006847986,"domain_scores_codex":[0.940645,0.04055046,0.005490682,0.0003744828,0.01087307,0.002066335],"domain_scores_gemma":[0.8473718,0.1424544,0.004206491,0.0008018086,0.003816365,0.001349084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001277111,0.00007222247,0.000004936478,0.5074971,0.00007041423,0.00001289501,0.006176825,6.802012e-9,2.737971e-9,0.0007799907,0.0245383,0.4608345],"study_design_scores_gemma":[0.00007055799,0.0001538631,8.616128e-7,0.4697593,0.000046151,0.00000682439,0.001198782,0.000004783262,3.038492e-8,0.0001012468,0.5286168,0.00004079788],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000007719727,0.9595272,0.000009429312,0.02137504,0.00184543,0.0171236,0.00000627776,0.000003866341,0.0001014185],"genre_scores_gemma":[0.00001802556,0.9918361,0.00006691008,0.00009672387,0.001378931,0.005831028,0.000002362676,0.00003423492,0.0007357398],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5040785,"threshold_uncertainty_score":0.9976591,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high"},{"model":"gpt","categories":["metaresearch"],"domain":"methods","study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W2146029572","doi":"10.2196/jmir.2912","title":"Social Media: A Review and Tutorial of Applications in Medicine and Health Care","year":2014,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":753,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Social media; Health care; Web 2.0; Public relations; Population; Internet privacy; Thematic analysis; Medical education; World Wide Web; Medicine; Psychology; Sociology; Computer science; The Internet; Political science; Qualitative research; Social science","retraction":null,"screen_n_in":null,"score":{"opus":0.5318333213496785,"gpt":0.6761076393253134,"spread":0.1442743179756348,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03080281,0.0001644064,0.002491753,0.0006720715,0.0001577251,0.00002339315,0.0008204309,0.0006099272,0.0002197279],"category_scores_gemma":[0.03659195,0.0001188326,0.0001330475,0.0009845503,0.001797576,0.00006580802,0.0001597426,0.002413015,0.000002517846],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000826874,"about_ca_system_score_gemma":0.006975148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00496289,"about_ca_topic_score_gemma":0.003989369,"domain_scores_codex":[0.9899769,0.003952614,0.001914023,0.0002461185,0.003454827,0.0004555082],"domain_scores_gemma":[0.9838692,0.01296574,0.001239288,0.0001415241,0.0009326192,0.0008516524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003517445,0.00003854309,0.00003926114,0.0482297,0.00002734895,0.000003223659,0.03721831,3.021073e-10,2.158328e-9,0.004882078,0.0260598,0.8834982],"study_design_scores_gemma":[0.0002282963,0.000144463,0.00003915885,0.05180799,0.0001049749,0.00001059485,0.00430333,9.619119e-8,7.887881e-9,0.000317626,0.9429781,0.00006536685],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001291174,0.9612749,0.000008664906,0.03553432,0.001332719,0.00158569,0.000003450365,0.000003630495,0.0002436956],"genre_scores_gemma":[0.0001258064,0.9905135,0.00003710568,0.0001476134,0.008892598,0.0002436505,0.00001081841,0.00001759864,0.00001130091],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9169183,"threshold_uncertainty_score":0.9998885,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2142564124","doi":"10.2196/jmir.2058","title":"Design of an mHealth App for the Self-management of Adolescent Type 1 Diabetes: A Pilot Study","year":2012,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":718,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Hospital for Sick Children; University of Toronto; University Health Network","funders":"Hospital for Sick Children; University Health Network","keywords":"mHealth; Thematic analysis; Diabetes management; Population; Type 2 diabetes; Medicine; Computer science; Psychology; Applied psychology; Diabetes mellitus; Psychological intervention; Nursing; Qualitative research","retraction":null,"screen_n_in":null,"score":{"opus":0.299451055951236,"gpt":0.5666331298542607,"spread":0.2671820739030247,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0376027,0.000110319,0.0004477345,0.0002457934,0.0002631611,0.000005265232,0.001065681,0.0001248515,0.0004520772],"category_scores_gemma":[0.0008880783,0.00006549733,0.00005272356,0.0004460477,0.0001460921,0.00008909099,0.0002391649,0.001736505,0.00002654984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002500351,"about_ca_system_score_gemma":0.001775327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001739508,"about_ca_topic_score_gemma":0.00003593028,"domain_scores_codex":[0.992462,0.002480714,0.001672888,0.0001564102,0.00226143,0.0009665312],"domain_scores_gemma":[0.9926206,0.003668494,0.0007485047,0.0004618405,0.001353935,0.001146562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01303252,0.05729217,0.1183814,0.03002186,0.001634714,0.00002230708,0.02386179,0.00005375662,0.000237512,0.02201148,0.4218291,0.3116214],"study_design_scores_gemma":[0.02704949,0.1019145,0.2875088,0.01140261,0.0008047539,0.00002899349,0.06971014,0.02366063,0.000369538,0.00162964,0.4753522,0.0005686039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9009747,0.009613263,0.04131818,0.01813675,0.00324849,0.02588329,0.00001969334,0.00005240171,0.0007532228],"genre_scores_gemma":[0.9925238,0.002574373,0.002149563,0.0005315154,0.0007748067,0.00120669,0.000002009334,0.00002379835,0.0002134603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3110528,"threshold_uncertainty_score":0.9909905,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2913277689","doi":"10.2196/12994","title":"Serious Gaming and Gamification Education in Health Professions: Systematic Review","year":2019,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Educational Games and Gamification","field":"Psychology","cited_by":627,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Lee Kong Chian School of Medicine, Nanyang Technological University; Karolinska Institutet; Nanyang Technological University; Université de Lille; World Health Organization","keywords":"PsycINFO; Psychological intervention; MEDLINE; Randomized controlled trial; Medicine; Cochrane Library; Meta-analysis; Health care; Patient education; Medical education; Systematic review; Family medicine; Nursing","retraction":null,"screen_n_in":null,"score":{"opus":0.2182718223199659,"gpt":0.5915672887872024,"spread":0.3732954664672365,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0234885,0.0002252377,0.002123861,0.001015487,0.00003433429,0.00005932347,0.0009709459,0.0004998007,0.0008249891],"category_scores_gemma":[0.004917961,0.0001513554,0.0002216015,0.0006747763,0.0001168309,0.0001022351,0.0001235944,0.002921036,0.0002804632],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006405181,"about_ca_system_score_gemma":0.005821683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001987704,"about_ca_topic_score_gemma":0.00002046744,"domain_scores_codex":[0.9888625,0.00550167,0.002946899,0.0003708365,0.001936972,0.0003811773],"domain_scores_gemma":[0.994558,0.001943361,0.001994618,0.0005305393,0.0005962746,0.0003772036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000004676965,0.0002684657,0.000005813024,0.5458211,0.00006403482,0.000005941428,0.0006100657,4.883451e-9,1.202917e-8,0.002421261,0.01753015,0.4332685],"study_design_scores_gemma":[0.00009200913,0.0001222734,0.00004414902,0.6227874,0.0001005118,0.0005249275,0.0009670497,0.000004242723,1.131595e-8,0.00006539175,0.3752147,0.0000773197],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001610149,0.9890779,0.00005792854,0.006555798,0.001195158,0.002678687,0.0000023223,0.00000479658,0.0004112742],"genre_scores_gemma":[0.00006313473,0.9875092,0.00005782084,0.0004322694,0.0003551621,0.0003453353,0.00003988998,0.00003491481,0.01116226],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4331912,"threshold_uncertainty_score":0.9998144,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3032766692","doi":"10.2196/19361","title":"Digital Health Equity and COVID-19: The Innovation Curve Cannot Reinforce the Social Gradient of Health","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":623,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Health equity; Digital health; Social determinants of health; Business; Equity (law); Health care; Telehealth; Health policy; Social distance; Coronavirus disease 2019 (COVID-19); Public relations; Public economics; Environmental health; Political science; Telemedicine; Medicine; Economic growth; Disease; Economics; Infectious disease (medical specialty)","retraction":null,"screen_n_in":null,"score":{"opus":0.3053050206574998,"gpt":0.5655184979873792,"spread":0.2602134773298794,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01658501,0.00008664519,0.000397938,0.0001921605,0.000221565,0.00004784387,0.000394116,0.00006580423,0.0002448391],"category_scores_gemma":[0.009242387,0.00004351171,0.00005755044,0.0007971436,0.0005522826,0.000100385,0.0003569497,0.0014253,0.000002122266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000358989,"about_ca_system_score_gemma":0.005083511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001614718,"about_ca_topic_score_gemma":0.0001329136,"domain_scores_codex":[0.9940484,0.000577181,0.00143214,0.0001311133,0.003399964,0.0004112444],"domain_scores_gemma":[0.9970224,0.0007373632,0.0007550234,0.000112196,0.0005995676,0.0007734615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006079103,0.00009336113,0.006013264,0.0008238187,0.00009839355,0.00004529163,0.01818845,9.119565e-7,0.00001374818,0.008612684,0.5454996,0.4200025],"study_design_scores_gemma":[0.01024044,0.01876622,0.06401885,0.0008599506,0.00004124689,0.001241461,0.04546568,0.003475673,0.0001299378,0.002281767,0.8533154,0.0001633362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1565366,0.0007534859,0.005551733,0.8362439,0.0001012168,0.0004580681,0.00001059155,0.000006278819,0.000338169],"genre_scores_gemma":[0.948323,0.0004659652,0.00002413927,0.05027794,0.0007744272,0.000004830728,0.00001952175,0.00000841514,0.0001018205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7917864,"threshold_uncertainty_score":0.9991032,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2607303733","doi":"10.2196/jmir.5604","title":"Who Uses Mobile Phone Health Apps and Does Use Matter? A Secondary Data Analytics Approach","year":2017,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":599,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lawson Health Research Institute; Western University","funders":"","keywords":"Internet privacy; Mobile phone; Mobile apps; Analytics; mHealth; Phone; Usage data; Computer science; World Wide Web; eHealth; Data science; Health care; Medicine; Psychological intervention; Nursing","retraction":null,"screen_n_in":null,"score":{"opus":0.3228889416664136,"gpt":0.5764566333492122,"spread":0.2535676916827985,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01801312,0.0001822982,0.0007563006,0.0003982244,0.001521468,0.0001955,0.002915713,0.0004095452,0.002748526],"category_scores_gemma":[0.00425442,0.0001168927,0.00006353703,0.0001699107,0.0007595771,0.0006309003,0.002237506,0.005355364,0.0001743356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002604901,"about_ca_system_score_gemma":0.004963687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004834632,"about_ca_topic_score_gemma":0.00121115,"domain_scores_codex":[0.9925105,0.001711182,0.001763962,0.0004990865,0.002337677,0.00117758],"domain_scores_gemma":[0.9914598,0.002218819,0.001212559,0.001847749,0.0007495064,0.002511512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002705131,0.0003553107,0.06245315,0.001985896,0.000075318,0.00004318869,0.001142328,4.228066e-7,0.00000470122,0.001240929,0.8439204,0.08850788],"study_design_scores_gemma":[0.00232558,0.0005034336,0.07020947,0.001895257,0.0000195473,0.0001374776,0.002806755,0.004754497,0.000004529057,0.0006541247,0.916536,0.0001532876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.679379,0.01304051,0.01499575,0.2676684,0.00326233,0.008819137,0.0007674646,0.00008463406,0.01198277],"genre_scores_gemma":[0.9085345,0.05002423,0.004518487,0.01482665,0.004281164,0.001092925,0.0001443982,0.0001130804,0.01646459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2528418,"threshold_uncertainty_score":0.9997784,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3036730291","doi":"10.2196/19659","title":"Framework for Managing the COVID-19 Infodemic: Methods and Results of an Online, Crowdsourced WHO Technical Consultation","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":576,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"World Health Organization","keywords":"Public relations; Crowdsourcing; Social media; Health care; Set (abstract data type); Knowledge management; Political science; Psychology; Internet privacy; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.3136835588189056,"gpt":0.5890268026048422,"spread":0.2753432437859366,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02598472,0.00005687872,0.000204768,0.0001425437,0.0001562175,0.0001243718,0.0007373174,0.0002192894,0.0001740765],"category_scores_gemma":[0.2015784,0.00003559317,0.00005838054,0.0004038911,0.0008079549,0.0002501005,0.0001175033,0.00108061,0.000001059982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007800158,"about_ca_system_score_gemma":0.0008560819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003705672,"about_ca_topic_score_gemma":0.0001572558,"domain_scores_codex":[0.9957804,0.001269716,0.0007616713,0.00009379897,0.001856282,0.0002381146],"domain_scores_gemma":[0.9897754,0.008088422,0.0003714772,0.0001030879,0.0006166951,0.001044878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003095554,0.0001539392,0.000123178,0.0002488774,0.00009925151,0.00002444394,0.3939811,0.00005692111,0.0003361512,0.1150879,0.1556095,0.3311832],"study_design_scores_gemma":[0.004198507,0.00179494,0.0007475647,0.0005488539,0.00003379921,0.00007800519,0.1288887,0.05393511,0.0005645838,0.0339272,0.775107,0.0001757847],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1218983,0.0003056237,0.3858781,0.4880376,0.0001587468,0.0005269937,0.00002212175,0.00002369079,0.00314878],"genre_scores_gemma":[0.9120265,0.001306625,0.07123474,0.01400295,0.001044041,0.000003063721,0.000007216013,0.00001348907,0.0003614321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7901281,"threshold_uncertainty_score":0.9005838,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3037960575","doi":"10.2196/21820","title":"How to Fight an Infodemic: The Four Pillars of Infodemic Management","year":2020,"lang":"en","type":"editorial","venue":"Journal of Medical Internet Research","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":559,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"JMIR Publications","funders":"","keywords":"Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.06793965571996848,"gpt":0.4266770820376226,"spread":0.3587374263176542,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01065546,0.000369305,0.001361233,0.0008020373,0.00004924909,0.0001785524,0.003982921,0.0009191168,0.0009114499],"category_scores_gemma":[0.03300599,0.0002253194,0.0004362218,0.0008004977,0.0005233547,0.0002055015,0.001686944,0.007339899,0.0001045544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000516164,"about_ca_system_score_gemma":0.002339703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009924959,"about_ca_topic_score_gemma":0.00007715288,"domain_scores_codex":[0.9809699,0.001079807,0.001515934,0.0004913715,0.01520155,0.000741413],"domain_scores_gemma":[0.9903011,0.002465585,0.0007684905,0.001116207,0.003128931,0.002219637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00180308,0.0001825721,0.0002614871,0.0009739976,0.0008087546,0.002818029,0.0004002526,0.000001631847,0.0000374944,0.00006253845,0.9766382,0.01601199],"study_design_scores_gemma":[0.001850038,0.002128474,0.0003448636,0.00337782,0.0001636779,0.0001274523,0.0003545688,0.0002082387,0.00005714351,0.00009120309,0.9911191,0.0001774405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.01436983,0.006055542,0.001801684,0.2007228,0.7647647,0.003477608,0.0009532699,0.000116304,0.007738275],"genre_scores_gemma":[0.02681847,0.008383036,0.0009749998,0.002712877,0.9476955,0.00006233804,0.0004362836,0.0001915353,0.01272498],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1980099,"threshold_uncertainty_score":0.9979737,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2555545138","doi":"10.2196/jmir.5698","title":"The Use of Social Media in Recruitment for Medical Research Studies: A Scoping Review","year":2016,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":531,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Social media; eHealth; Psychology; Data science; Internet privacy; World Wide Web; Health care; Computer science; Medicine; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.9236268404192448,"gpt":0.7527068496186357,"spread":0.1709199908006092,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2180922,0.0002491077,0.002708447,0.001015435,0.0006025824,0.0001237418,0.003641085,0.001224709,0.0009946616],"category_scores_gemma":[0.6867939,0.0001356369,0.0006631413,0.002054645,0.004705498,0.0002050009,0.0006534216,0.005062409,0.00003672066],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003207285,"about_ca_system_score_gemma":0.03638668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007612886,"about_ca_topic_score_gemma":0.01144935,"domain_scores_codex":[0.948257,0.02567026,0.004467555,0.0004512028,0.01949558,0.001658391],"domain_scores_gemma":[0.5353057,0.4523849,0.002208637,0.0005239909,0.007948681,0.001628047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003512648,0.0001119379,0.000002707046,0.04317285,0.0001272145,0.00003550497,0.01104656,9.107717e-10,5.213247e-9,0.002906323,0.09739429,0.8451675],"study_design_scores_gemma":[0.000191664,0.0001141888,8.562003e-7,0.4171753,0.00003207946,0.000007186355,0.001832084,4.57367e-7,7.836646e-8,0.0003359207,0.5802474,0.00006284597],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001405195,0.9336327,0.000009673955,0.05373719,0.005301186,0.007213472,0.000006842116,0.000005222034,0.00007971944],"genre_scores_gemma":[0.000004434822,0.989246,0.00006170623,0.0001073339,0.006524194,0.003827935,0.000003216339,0.00004128974,0.0001838864],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8451046,"threshold_uncertainty_score":0.9999186,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"medium"},{"model":"gpt","categories":["metaresearch"],"domain":"methods","study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W2100320843","doi":"10.2196/jmir.1867","title":"Opportunities and Challenges of Cloud Computing to Improve Health Care Services","year":2011,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":508,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Cloud computing; Health care; Services computing; Cloud computing security; Utility computing; Knowledge management; Computer science; Business; Process management; World Wide Web; Web service","retraction":null,"screen_n_in":null,"score":{"opus":0.1680165753297131,"gpt":0.3854405789047576,"spread":0.2174240035750445,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006002031,0.00009156504,0.0002978611,0.0003657569,0.00006309737,0.00006402165,0.001798915,0.00006846493,0.00001977575],"category_scores_gemma":[0.0001265152,0.00006622292,0.00006048375,0.0001580974,0.0001307258,0.0000301477,0.00188551,0.0005476088,0.0000029438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005605341,"about_ca_system_score_gemma":0.0002052741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005348921,"about_ca_topic_score_gemma":0.00005139838,"domain_scores_codex":[0.9966773,0.0004024619,0.0005575691,0.0002059593,0.001801898,0.0003548256],"domain_scores_gemma":[0.9982443,0.0002519987,0.0002370723,0.0002585187,0.0004608375,0.0005472444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003668439,0.0001344566,0.0001275592,0.0009760196,0.00008271185,0.0002087152,0.1055605,0.000007933975,0.000007169955,0.02555881,0.00205498,0.8652445],"study_design_scores_gemma":[0.006395489,0.03297703,0.02133495,0.02112564,0.000049991,0.001622639,0.5031872,0.2049597,0.003492942,0.005701483,0.1978091,0.00134386],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9160751,0.01635744,0.01236427,0.05018559,0.0009864254,0.0002100499,8.379285e-7,0.00003111382,0.003789203],"genre_scores_gemma":[0.9951389,0.001037717,0.00297417,0.0004218216,0.0003325447,6.531939e-7,8.065069e-8,0.000006620591,0.00008749861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8639007,"threshold_uncertainty_score":0.3342862,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2608869440","doi":"10.2196/jmir.6731","title":"Social Health Inequalities and eHealth: A Literature Review With Qualitative Synthesis of Theoretical and Empirical Studies","year":2017,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":494,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Centre hospitalier universitaire de Québec; Université Laval","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; AGE-WELL; Université Laval","keywords":"eHealth; Inequality; Qualitative research; Social inequality; Empirical research; Sociology; Psychology; Computer science; Data science; Health care; Mathematics; Social science; Political science; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.7685679544732594,"gpt":0.7432054636170915,"spread":0.02536249085616793,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04398454,0.0003324911,0.004451033,0.0006104975,0.000897188,0.00004154828,0.0007658474,0.0008735661,0.0002674286],"category_scores_gemma":[0.02948511,0.0001865671,0.0002549979,0.0003517719,0.003207806,0.0001501997,0.0007276661,0.007434318,0.000007567595],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003582274,"about_ca_system_score_gemma":0.005827819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001360628,"about_ca_topic_score_gemma":0.0001811777,"domain_scores_codex":[0.9736797,0.01918102,0.003091143,0.0003525975,0.002938473,0.0007570732],"domain_scores_gemma":[0.9744455,0.01950543,0.002757018,0.0003143175,0.002066704,0.0009110509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001633439,0.0001124642,0.00003185135,0.4997593,0.0005668652,0.0001066631,0.07987781,7.435652e-10,7.142513e-10,0.06425747,0.09626074,0.2588636],"study_design_scores_gemma":[0.0002844867,0.0007769411,0.00001300011,0.4544695,0.0001946932,0.0001312236,0.01061302,0.000001547885,7.285081e-9,0.002354301,0.5310583,0.0001030349],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007491306,0.9278525,0.000006966005,0.07049993,0.0001836298,0.001018239,0.0001059099,0.000006008645,0.0002518928],"genre_scores_gemma":[0.0003844046,0.9972621,0.0001564179,0.001044874,0.0007795571,0.0001084822,0.00001180832,0.00003204539,0.0002203218],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4347975,"threshold_uncertainty_score":0.9998082,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2095995897","doi":"10.2196/jmir.1560","title":"Seeking Support on Facebook: A Content Analysis of Breast Cancer Groups","year":2011,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":457,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Public Health Ontario; University of Toronto; University Health Network","funders":"University of Toronto","keywords":"Popularity; Breast cancer; Social media; Social support; Internet privacy; Support group; Content analysis; The Internet; Psychology; Social network (sociolinguistics); Medicine; World Wide Web; Cancer; Computer science; Social psychology; Sociology","retraction":null,"screen_n_in":null,"score":{"opus":0.5208690140938955,"gpt":0.5570415741343121,"spread":0.03617256004041658,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0146323,0.00007219904,0.0003958319,0.0008621313,0.0001011783,0.00002846392,0.0008730321,0.0002190404,0.01887622],"category_scores_gemma":[0.007794622,0.0000563572,0.0002019519,0.001105824,0.0007337896,0.0001204303,0.00007584537,0.001047148,0.00002811315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005778958,"about_ca_system_score_gemma":0.002038449,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.046072,"about_ca_topic_score_gemma":0.00880037,"domain_scores_codex":[0.9929374,0.001158673,0.0007354454,0.0001418646,0.004570909,0.0004556422],"domain_scores_gemma":[0.9950238,0.002306964,0.0004044363,0.0001296807,0.001413763,0.0007213235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008027061,0.001167763,0.4792827,0.00009788715,0.001754437,0.0001618642,0.3164358,0.00000148633,0.0001572537,0.01682188,0.01663772,0.1666785],"study_design_scores_gemma":[0.001035835,0.001174912,0.9021007,0.001079155,0.0004171038,0.00002199277,0.05763654,0.0004507473,0.0004718661,0.0007597404,0.03464289,0.000208555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760722,0.000117913,0.0001176541,0.01450457,0.002530691,0.0004264152,0.00000715994,0.000007180236,0.006216198],"genre_scores_gemma":[0.99762,0.0007318095,0.0000395152,0.0002036982,0.001055817,0.00006295079,8.057535e-7,0.000007921377,0.0002774432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.422818,"threshold_uncertainty_score":0.9820207,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4214685553","doi":"10.2196/34144","title":"Inequities in Health Care Services Caused by the Adoption of Digital Health Technologies: Scoping Review","year":2022,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":442,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Fundamental Research Funds for the Central Universities; Huazhong University of Science and Technology","keywords":"Digital health; Health care; eHealth; Telemedicine; Telehealth; Health services; Business; mHealth; Internet privacy; Nursing; Medicine; Knowledge management; Psychological intervention; Environmental health; Computer science; Political science; Population","retraction":null,"screen_n_in":null,"score":{"opus":0.1206248045925118,"gpt":0.5113682813001832,"spread":0.3907434767076713,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009320159,0.00008611011,0.0005760765,0.0004208518,0.00009903172,0.00001679484,0.0005041862,0.00004877009,0.0004409699],"category_scores_gemma":[0.001261223,0.00005459458,0.00006711852,0.0006659401,0.0001692724,0.0001083184,0.0003182746,0.001707536,0.000001512717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006085902,"about_ca_system_score_gemma":0.002520942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001069588,"about_ca_topic_score_gemma":0.0003069219,"domain_scores_codex":[0.9940116,0.0005724899,0.001575214,0.0001356898,0.003293786,0.0004112039],"domain_scores_gemma":[0.9981049,0.0005266936,0.0006795436,0.0001909034,0.000322204,0.0001757142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000551602,0.0006490416,0.02762584,0.114331,0.0001273199,0.0002243986,0.01664005,0.000003009423,0.00002951433,0.000317217,0.2420415,0.5974595],"study_design_scores_gemma":[0.01121492,0.03036745,0.00524954,0.3450491,0.00004710933,0.001714733,0.4078828,0.0003231559,0.0002954386,0.0002722772,0.1973187,0.0002646981],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2381594,0.3515614,0.0001167759,0.4080997,0.0002171465,0.001685635,0.00003123829,0.00002471467,0.0001039335],"genre_scores_gemma":[0.9500953,0.04508672,0.00002653803,0.004529458,0.00008108569,0.0000438582,0.00006672648,0.00001177737,0.00005855101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7119359,"threshold_uncertainty_score":0.7418488,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2947151330","doi":"10.2196/13659","title":"Artificial Intelligence and the Implementation Challenge","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":396,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Michael's Hospital; Women's College Hospital; University of Toronto","funders":"","keywords":"Health care; Clinical decision support system; Computer science; Decision support system; Knowledge management; Data science; Management science; Artificial intelligence; Political science; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.3873427086313683,"gpt":0.5846272364272526,"spread":0.1972845277958842,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01009772,0.00006313195,0.0002257397,0.0002078233,0.00004940064,0.00005211022,0.0002621851,0.0001218488,0.003880914],"category_scores_gemma":[0.001552179,0.00003506237,0.00007352661,0.0002060956,0.000397188,0.00009215935,0.00009133022,0.001172947,0.0001733261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008975137,"about_ca_system_score_gemma":0.0005038562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006952693,"about_ca_topic_score_gemma":0.0001365888,"domain_scores_codex":[0.9966767,0.0003574491,0.0007279035,0.0001235708,0.001860887,0.0002534795],"domain_scores_gemma":[0.9975727,0.001178298,0.0001345189,0.0001512656,0.000677862,0.0002853441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00126321,0.0001774159,0.004228394,0.0001165985,0.00006554934,0.00005082975,0.00819061,7.436923e-7,0.00007861311,0.04966881,0.004110058,0.9320492],"study_design_scores_gemma":[0.002109016,0.02045082,0.01128451,0.004709746,0.000276219,0.005412328,0.33454,0.04137031,0.07635746,0.3862736,0.1165236,0.0006924001],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8716871,0.001156184,0.0008738012,0.1242976,0.0006323055,0.0003626177,2.743319e-7,0.000003976577,0.0009862252],"genre_scores_gemma":[0.9963038,0.00196079,0.00006708884,0.0004702101,0.0008962255,0.00000670252,0.000001195931,0.000007369496,0.0002866347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9313568,"threshold_uncertainty_score":0.9970297,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2164995937","doi":"10.2196/jmir.2661","title":"A Lot of Action, But Not in the Right Direction: Systematic Review and Content Analysis of Smartphone Applications for the Prevention, Detection, and Management of Cancer","year":2013,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":385,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto General Hospital; University Health Network; Public Health Ontario; University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"Computer science; Action (physics); Content analysis; Internet privacy; Multimedia; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.3292280684928444,"gpt":0.5991955266123211,"spread":0.2699674581194768,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01754413,0.0001585315,0.002176349,0.0006383285,0.0002026678,0.000008659183,0.0006740049,0.000258212,0.0002951569],"category_scores_gemma":[0.0009329678,0.00007592601,0.0003381439,0.001521794,0.0002865194,0.00004518721,0.0001356011,0.001284075,0.000002221111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002018935,"about_ca_system_score_gemma":0.0007717101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001621533,"about_ca_topic_score_gemma":0.002072205,"domain_scores_codex":[0.9921048,0.002417507,0.003689783,0.0002201558,0.001272288,0.000295524],"domain_scores_gemma":[0.9892729,0.005396286,0.002967483,0.0004825075,0.001655052,0.0002257653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002444716,0.0001427396,0.00002514815,0.8226382,0.001499426,4.410682e-7,0.0001307187,1.526644e-7,5.654495e-7,0.001034541,0.002864808,0.1716388],"study_design_scores_gemma":[0.0006765049,0.0002507277,0.0006365165,0.3802888,0.01350412,0.00002734472,0.00139599,0.0001340785,0.000003423094,0.0000981894,0.6028926,0.00009174228],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005903394,0.9776244,0.00347431,0.00337257,0.0001082713,0.01528189,0.00004215046,0.000002282456,0.00003505915],"genre_scores_gemma":[0.0006130483,0.9661039,0.0000535991,0.000174394,0.0001124844,0.03208203,0.000007517282,0.00001266841,0.0008403294],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6000277,"threshold_uncertainty_score":0.6080481,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3096451393","doi":"10.2196/20550","title":"Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":384,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Bigram; Social distance; Social media; Feeling; Pandemic; Coronavirus disease 2019 (COVID-19); Sentiment analysis; Anger; Psychology; Internet privacy; Public health; Computer science; Artificial intelligence; Social psychology; World Wide Web; Medicine; Trigram","retraction":null,"screen_n_in":null,"score":{"opus":0.3038354283011451,"gpt":0.5007965093349296,"spread":0.1969610810337845,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01087425,0.00005527136,0.0001331776,0.0001046865,0.0004646272,0.0002369445,0.0006249381,0.0001146666,0.003313928],"category_scores_gemma":[0.02250711,0.00002682488,0.00006167647,0.0003228305,0.0007045714,0.0002070169,0.0001968154,0.001902368,0.00003075821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008794572,"about_ca_system_score_gemma":0.0006092637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005647303,"about_ca_topic_score_gemma":0.000125163,"domain_scores_codex":[0.9955649,0.001265182,0.000341822,0.00008048351,0.002468398,0.0002791929],"domain_scores_gemma":[0.9974,0.0007701184,0.0001162094,0.00006119993,0.0001650853,0.001487392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001080421,0.0001042838,0.01019012,0.00006273109,0.00007622269,0.00004227597,0.4440855,0.00005100802,0.00002676623,0.01338501,0.5018429,0.03002508],"study_design_scores_gemma":[0.0005603068,0.0001895388,0.001374402,0.00005255021,0.000007722282,0.0001204673,0.05098506,0.01087782,0.000001537846,0.0003794749,0.9353933,0.00005779725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1624143,0.000633856,0.01850901,0.7880653,0.0001691657,0.0002285449,0.000002682294,0.00002960982,0.02994755],"genre_scores_gemma":[0.9860834,0.001471286,0.00007174285,0.00777645,0.0005643412,7.907311e-7,0.000001523148,0.000004737674,0.004025765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8236691,"threshold_uncertainty_score":0.9975972,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2103970509","doi":"10.2196/jmir.5.4.e32","title":"How Adolescents Use Technology for Health Information: Implications for Health Professionals from Focus Group Studies","year":2003,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":383,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Health Canada","keywords":"eHealth; Focus group; Internet privacy; The Internet; Social media; mHealth; Psychology; Phone; Health care; Qualitative research; Medical education; Medicine; World Wide Web; Nursing; Computer science; Psychological intervention; Sociology","retraction":null,"screen_n_in":null,"score":{"opus":0.2643685566383918,"gpt":0.6153412075623076,"spread":0.3509726509239158,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02724689,0.0001762017,0.0007609274,0.000775116,0.001090894,0.000103556,0.0008447158,0.0004675703,0.0001655239],"category_scores_gemma":[0.03631812,0.0001209643,0.0001556353,0.0006008676,0.0002417298,0.002147284,0.0002292977,0.002551636,0.00002466637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001066829,"about_ca_system_score_gemma":0.005132618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001299356,"about_ca_topic_score_gemma":0.0002280385,"domain_scores_codex":[0.9915207,0.002081124,0.003575155,0.0002223955,0.001490128,0.001110506],"domain_scores_gemma":[0.9874898,0.004274764,0.002220912,0.0004285666,0.004615468,0.0009705253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005400276,0.0004313357,0.02986328,0.003204339,0.0001208006,5.949194e-7,0.007833658,2.498562e-7,0.000002398373,0.04262621,0.8186802,0.09669694],"study_design_scores_gemma":[0.003424166,0.001054216,0.00935779,0.004702738,0.000005666414,0.00001092821,0.01130955,0.0002934423,0.00001791651,0.016331,0.953375,0.0001175331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03355172,0.003704892,0.2128296,0.7419649,0.002156451,0.005263828,0.0003969159,0.00006003327,0.0000716178],"genre_scores_gemma":[0.8850527,0.003865503,0.03452597,0.0710452,0.001494417,0.002254927,0.0002270725,0.00005248416,0.001481742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8515009,"threshold_uncertainty_score":0.9997495,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1979764658","doi":"10.2196/jmir.2934","title":"Use of the Internet as a Health Information Resource Among French Young Adults: Results From a Nationally Representative Survey","year":2014,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":379,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"The Internet; Health Information National Trends Survey; Resource (disambiguation); Environmental health; Internet privacy; Psychology; Health information; Medicine; Computer science; Demography; Gerontology; World Wide Web; Health care; Sociology; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.1343579579454378,"gpt":0.512812848720732,"spread":0.3784548907752942,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.0567882,0.000145086,0.0004875931,0.0004436026,0.0002674613,0.00009826536,0.001344549,0.0003685349,0.001331932],"category_scores_gemma":[0.1254938,0.00008746411,0.0001345179,0.0006981001,0.0004430994,0.002120936,0.0007116176,0.004113502,0.0001129579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004930004,"about_ca_system_score_gemma":0.002551537,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1131377,"about_ca_topic_score_gemma":0.008843465,"domain_scores_codex":[0.9764652,0.01275188,0.005147629,0.0002079146,0.004857657,0.0005696881],"domain_scores_gemma":[0.9747866,0.01490212,0.003994723,0.00065335,0.004881986,0.0007812323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002281883,0.0001566181,0.406913,0.0003105064,0.00007274129,0.000002180432,0.07104702,0.00001085569,8.190963e-7,0.0007954635,0.5036016,0.01480734],"study_design_scores_gemma":[0.002361432,0.0004261873,0.853637,0.003897272,0.000003546744,0.000007287817,0.003736546,0.02277614,0.00002851408,0.000385002,0.1126591,0.00008193023],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805418,0.00004541842,0.003462732,0.01069938,0.0008153077,0.000744228,0.0002166803,0.00001318442,0.003461272],"genre_scores_gemma":[0.9934677,0.00008163086,0.0003729042,0.003930506,0.0003532777,0.00001980618,0.0001927986,0.000009868318,0.001571473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.446724,"threshold_uncertainty_score":0.999581,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1986979602","doi":"10.2196/jmir.1909","title":"Mobile Phone-Based Telemonitoring for Heart Failure Management: A Randomized Controlled Trial","year":2012,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":370,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mobile phone; Randomized controlled trial; Heart failure; Telemedicine; Intervention (counseling); Phone; mHealth; Medical emergency; Medicine; Mobile device; Management of heart failure; Computer science; Psychological intervention; World Wide Web; Telecommunications; Health care; Nursing; Internal medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.04843836921725572,"gpt":0.4207958557334772,"spread":0.3723574865162215,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02292893,0.0001908176,0.001648796,0.0006930039,0.00006712806,0.00007148583,0.0003130662,0.0002019541,0.001562327],"category_scores_gemma":[0.002707348,0.0001114736,0.0009847474,0.000238055,0.0002176065,0.0001369591,0.0001150549,0.0008508616,0.00007844657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002197773,"about_ca_system_score_gemma":0.0002573607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000196665,"about_ca_topic_score_gemma":0.000002241706,"domain_scores_codex":[0.9938262,0.0007979035,0.001143153,0.0001765275,0.003310327,0.0007458931],"domain_scores_gemma":[0.995988,0.002194876,0.0002151625,0.0002372995,0.0004860683,0.0008786594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.7994375,0.001475199,0.0002082635,0.0002089922,0.001370731,0.0001217852,0.0002135325,8.761059e-7,0.00005322818,0.0005216728,0.1931658,0.003222445],"study_design_scores_gemma":[0.723178,0.001768228,0.000009715208,0.0004938568,0.0003737572,0.00004673699,0.0003020321,0.0005019131,0.000589916,0.00004200996,0.2726252,0.00006864899],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8379827,0.007126465,0.02274546,0.07839747,0.007181054,0.04032845,0.000003880162,0.000119346,0.006115136],"genre_scores_gemma":[0.9778155,0.0002280788,0.008907886,0.0003449239,0.003918217,0.001625875,0.000005527368,0.00003451069,0.007119502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1398327,"threshold_uncertainty_score":0.9993504,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3171261489","doi":"10.2196/24435","title":"COVID-19 Vaccine–Related Discussion on Twitter: Topic Modeling and Sentiment Analysis","year":2021,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":360,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"National Cancer Institute","keywords":"Social media; Vaccination; Cornerstone; Pandemic; Topic model; Public health; Herd immunity; Coronavirus disease 2019 (COVID-19); Medicine; Psychology; Computer science; World Wide Web; Artificial intelligence; Immunology; Infectious disease (medical specialty); History","retraction":null,"screen_n_in":null,"score":{"opus":0.09121144644849306,"gpt":0.4613156341040951,"spread":0.370104187655602,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006022473,0.00007132455,0.0002741308,0.0004014802,0.0001944462,0.0001541265,0.0003727383,0.0001640982,0.007052368],"category_scores_gemma":[0.004713662,0.00004312946,0.0001649182,0.000745998,0.0000294893,0.0001167757,0.0001843032,0.0009098789,0.00001724867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002718401,"about_ca_system_score_gemma":0.001009054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006400473,"about_ca_topic_score_gemma":0.0009578471,"domain_scores_codex":[0.9954814,0.000952191,0.0004658295,0.0001905973,0.00260198,0.0003079708],"domain_scores_gemma":[0.9979927,0.0004120709,0.00009007269,0.0001343149,0.0003613902,0.001009466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00109111,0.002587618,0.3417633,0.0003492048,0.005530002,0.01862384,0.1361375,0.002613174,0.0005318017,0.0322198,0.352534,0.1060187],"study_design_scores_gemma":[0.01279607,0.002502486,0.02509091,0.002435514,0.001423139,0.0005504843,0.08475044,0.2514684,0.001054628,0.04528543,0.5714941,0.001148391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7978559,0.001015079,0.002878323,0.1964875,0.0002037091,0.00006065291,4.774248e-7,0.00000731241,0.001491108],"genre_scores_gemma":[0.9899783,0.001605013,0.00004132235,0.0009411299,0.0003584887,0.000001176489,0.000001517144,0.000005006027,0.007068076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3166724,"threshold_uncertainty_score":0.9938553,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2085177870","doi":"10.2196/jmir.2966","title":"The 1% Rule in Four Digital Health Social Networks: An Observational Study","year":2014,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":349,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Toronto","keywords":"The Internet; Citizen journalism; Sustainability; Public relations; Political science; Business; Computer science; World Wide Web; Law; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.5349511957958089,"gpt":0.5981214589099025,"spread":0.06317026311409368,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04876486,0.0000682885,0.0002298546,0.0001682177,0.0006620391,0.0003545459,0.00123093,0.0001629006,0.0001670912],"category_scores_gemma":[0.03826989,0.00004880465,0.0000568757,0.0006335031,0.0006000146,0.0003783844,0.0001049805,0.001650825,0.00001357996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007087215,"about_ca_system_score_gemma":0.003129125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006992489,"about_ca_topic_score_gemma":0.01082429,"domain_scores_codex":[0.9892355,0.004169071,0.0008137732,0.0001479516,0.004967183,0.0006664938],"domain_scores_gemma":[0.9887198,0.009457375,0.0002945871,0.0001148386,0.0007467083,0.0006667228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001437439,0.0008925462,0.3644956,0.00001364836,0.00002743805,0.00001893268,0.1045445,0.000007798567,1.466822e-7,0.0133001,0.02004399,0.4965115],"study_design_scores_gemma":[0.0009695973,0.001110145,0.7315703,0.0001392057,0.000002548559,0.000006341643,0.05171465,0.001945479,1.851333e-7,0.007095399,0.2053505,0.00009569695],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8525867,0.0001696489,0.0001866051,0.1433206,0.002694528,0.0005006474,4.089595e-7,0.000007823527,0.0005329798],"genre_scores_gemma":[0.9913469,0.0001799225,0.00002737709,0.0004187216,0.007830409,0.00005549595,0.000001307125,0.00000979728,0.0001300454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4964159,"threshold_uncertainty_score":0.99962,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2074454475","doi":"10.2196/jmir.4174","title":"Effects of Home Telemonitoring Interventions on Patients With Chronic Heart Failure: An Overview of Systematic Reviews","year":2015,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":348,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa; HEC Montréal","funders":"Canada Research Chairs; McMaster University","keywords":"Heart failure; Psychological intervention; Medicine; Telehealth; Telemedicine; Medical emergency; Intensive care medicine; Health care; Nursing; Cardiology","retraction":null,"screen_n_in":null,"score":{"opus":0.3045426558040463,"gpt":0.5257990690851907,"spread":0.2212564132811444,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01081584,0.0003691061,0.005013843,0.001100299,0.00002183582,0.00003161424,0.0007398856,0.0003256178,0.0002558797],"category_scores_gemma":[0.002897406,0.0001873114,0.001183275,0.0006368851,0.0001989093,0.0001220486,0.0002452066,0.00175198,0.00006596866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008298169,"about_ca_system_score_gemma":0.001057462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004384544,"about_ca_topic_score_gemma":0.00002101099,"domain_scores_codex":[0.9890505,0.002710124,0.002744192,0.0002822678,0.004799244,0.0004136593],"domain_scores_gemma":[0.9950347,0.00111869,0.001381749,0.0006025806,0.001099608,0.0007626839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00008455792,0.001803825,0.00009037067,0.848596,0.0011875,0.0001647302,0.0000711569,4.873772e-8,3.643644e-7,0.0000751284,0.02151256,0.1264137],"study_design_scores_gemma":[0.001390158,0.008129738,0.00004038053,0.5836837,0.001489092,0.00006957904,0.00001516561,0.000001988764,0.000005686963,0.000003962719,0.4050874,0.00008322168],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006804468,0.9942303,0.00002893332,0.0002900766,0.0003293864,0.004405933,0.000003462277,0.000006485343,0.00002501572],"genre_scores_gemma":[0.0009657394,0.9975441,0.000347336,0.00001213402,0.0004779554,0.0001675349,0.00001988768,0.0000516534,0.0004136229],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3835748,"threshold_uncertainty_score":0.7638339,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3125907019","doi":"10.2196/26145","title":"Measurement of Digital Literacy Among Older Adults: Systematic Review","year":2021,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":347,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"National Research Foundation of Korea; Ministry of Education; Yonsei University; College of Nursing, Yonsei University; National Research Foundation","keywords":"Competence (human resources); Digital literacy; Literacy; Health literacy; Population; Information literacy; eHealth; Gerontology; Medical education; Critical appraisal; Information and Communications Technology; Psychology; Medicine; Computer science; Alternative medicine; Environmental health; Pedagogy; World Wide Web; Political science; Social psychology; Health care","retraction":null,"screen_n_in":null,"score":{"opus":0.1039563093224704,"gpt":0.47037405197357,"spread":0.3664177426510996,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03329198,0.0003253892,0.004345525,0.0008339342,0.000080099,0.0002558365,0.004023473,0.0009805195,0.001084798],"category_scores_gemma":[0.0712183,0.0002123167,0.001296702,0.001443767,0.001246487,0.0004089403,0.0006901819,0.004023081,0.0000688507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008929198,"about_ca_system_score_gemma":0.004467761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001953854,"about_ca_topic_score_gemma":0.0001523466,"domain_scores_codex":[0.9772257,0.00436259,0.00359984,0.0003920498,0.01371574,0.0007040392],"domain_scores_gemma":[0.9897264,0.00165073,0.002060621,0.0006552451,0.005174561,0.0007324309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000002824982,0.0002393767,0.00001103982,0.7130672,0.0005529727,0.0005842019,0.00121757,1.130265e-9,4.402126e-9,0.0002347224,0.01764319,0.2664469],"study_design_scores_gemma":[0.0001677676,0.00009089072,9.714709e-7,0.7233033,0.0004412071,0.0001599095,0.0006537584,8.752334e-7,3.036084e-7,0.00001796113,0.2750478,0.0001152304],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000178061,0.9956278,0.00005912225,0.001555892,0.0004345688,0.001647124,0.000007273661,0.00001960008,0.0006307791],"genre_scores_gemma":[0.0008817763,0.9978051,0.00002306867,0.00003680327,0.0003913729,0.00007832384,0.00000452821,0.00003748373,0.0007415002],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2663316,"threshold_uncertainty_score":0.9998283,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2133622904","doi":"10.2196/jmir.2350","title":"Development and Testing of a Multidimensional iPhone Pain Assessment Application for Adolescents with Cancer","year":2013,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Pediatric Pain Management Techniques","field":"Medicine","cited_by":314,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa; University of Toronto; BC Children's Hospital; SickKids Foundation; Hospital for Sick Children; McMaster University","funders":"","keywords":"Usability; Psychological pain; Cancer pain; Thematic analysis; Qualitative research; Psychology; Pain assessment; Mood; Fidelity; Applied psychology; Medicine; Physical therapy; Clinical psychology; Computer science; Cancer; Pain management; Human–computer interaction","retraction":null,"screen_n_in":null,"score":{"opus":0.07231908396044605,"gpt":0.4332300676551473,"spread":0.3609109836947013,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00779333,0.00007661273,0.0002454841,0.0002778741,0.00002625103,0.00001222353,0.0001722808,0.00008051249,0.0000750754],"category_scores_gemma":[0.0015777,0.00005029394,0.00002738784,0.0002018037,0.0001293054,0.00006178537,0.0001262777,0.0004988338,0.000001157003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001832121,"about_ca_system_score_gemma":0.0006417371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002615236,"about_ca_topic_score_gemma":0.00001845629,"domain_scores_codex":[0.9970199,0.0001527825,0.0004847966,0.0001366904,0.001985462,0.0002203494],"domain_scores_gemma":[0.9978161,0.0005031046,0.0002221218,0.00009523798,0.001087162,0.0002762753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004386835,0.0008863808,0.4305162,0.001559674,0.0001992083,0.00005807701,0.0003020615,0.000001801539,0.01267992,0.00009138491,0.0289368,0.5243298],"study_design_scores_gemma":[0.008679231,0.004084433,0.8336923,0.0147016,0.0001344618,0.0001974433,0.0009699932,0.1028207,0.01256574,0.0004437629,0.02141121,0.0002991358],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8776044,0.0002433852,0.117919,0.003260555,0.00002166968,0.0008602879,5.186683e-7,0.00001071979,0.00007944146],"genre_scores_gemma":[0.8822113,0.0001152779,0.1170751,0.0001901683,0.0001475382,0.0001496897,0.000001614846,0.00001065565,0.00009872468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5240307,"threshold_uncertainty_score":0.2701028,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2975811141","doi":"10.2196/14343","title":"Effects of Mobile Health App Interventions on Sedentary Time, Physical Activity, and Fitness in Older Adults: Systematic Review and Meta-Analysis","year":2019,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Physical Activity and Health","field":"Medicine","cited_by":302,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Canadian Institutes of Health Research; Medical Research Council; National Institute for Health and Care Research","keywords":"mHealth; Psychological intervention; Medicine; Gerontology; Meta-analysis; Physical therapy; Randomized controlled trial; Behavior change methods; Sedentary lifestyle; Physical activity; Internal medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.1976564110446691,"gpt":0.5473787026831058,"spread":0.3497222916384367,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.007363769,0.0003390799,0.01356263,0.001126613,0.00002722613,0.00002680978,0.0004609631,0.0002693711,0.0002623717],"category_scores_gemma":[0.001593717,0.0001893204,0.002718785,0.001004435,0.0002606732,0.00009111681,0.0003549812,0.003455297,0.0000239993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002938555,"about_ca_system_score_gemma":0.0007052832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002976737,"about_ca_topic_score_gemma":0.00003393612,"domain_scores_codex":[0.9912349,0.003639159,0.001651842,0.0004190013,0.002654109,0.0004009665],"domain_scores_gemma":[0.9924667,0.004897112,0.001277787,0.0003858476,0.00026781,0.0007046795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00005734296,0.003879879,7.891813e-7,0.9385208,0.02748319,0.0001060836,0.0001489924,6.815915e-8,1.68969e-7,0.00002131255,0.000774958,0.02900637],"study_design_scores_gemma":[0.0009054987,0.004565849,0.00003048103,0.7709296,0.2221373,0.0002198263,0.00003433769,0.0001548119,0.000003359469,0.00001414616,0.0008642389,0.0001405529],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002484096,0.9913803,0.00002151631,0.001519463,0.00002902018,0.004519616,0.00002439473,0.000004170034,0.00001737706],"genre_scores_gemma":[0.008141015,0.9907019,0.00000786195,0.0001972117,0.0000957064,0.0003011691,0.00001103662,0.00002748012,0.0005166485],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1946542,"threshold_uncertainty_score":0.9988438,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1530898409","doi":"10.2196/jmir.4209","title":"“You Get Reminded You’re a Sick Person”: Personal Data Tracking and Patients With Multiple Chronic Conditions","year":2015,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":300,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec","funders":"Agency for Healthcare Research and Quality","keywords":"Tracking (education); Chronic disease; Health care; Population; Disease; Population ageing; eHealth; Medicine; Internet privacy; Gerontology; Psychology; Family medicine; Environmental health; Computer science; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.2161560987483215,"gpt":0.447895594282409,"spread":0.2317394955340875,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003264595,0.0001587426,0.0003678856,0.0003371396,0.00006782154,0.0001525252,0.0006949879,0.0001312702,0.002129136],"category_scores_gemma":[0.003008565,0.0001082277,0.00006115467,0.0002292202,0.0007129837,0.0004390036,0.0004490698,0.001445022,0.0000285704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004924596,"about_ca_system_score_gemma":0.001908917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001861461,"about_ca_topic_score_gemma":0.0002088774,"domain_scores_codex":[0.9942786,0.0002074193,0.0004025503,0.0003335923,0.004302054,0.0004757844],"domain_scores_gemma":[0.9971928,0.0003249062,0.0001648781,0.0003821941,0.0008182595,0.001116959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003692764,0.002543618,0.2198213,0.001011623,0.001628047,0.00452245,0.006536962,0.000006162347,0.00005176542,0.0004341964,0.7248606,0.03489045],"study_design_scores_gemma":[0.09332108,0.01916197,0.4674026,0.01335923,0.001247364,0.002249969,0.06725322,0.1021821,0.0001305834,0.0004100279,0.2322407,0.001041175],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845379,0.001334333,0.0001733373,0.01044713,0.0002031745,0.0003899355,0.0000548798,0.00001768659,0.002841614],"genre_scores_gemma":[0.9974467,0.0001176915,0.0001203285,0.0001510434,0.0007951438,0.00000553275,0.0001781137,0.00002562141,0.001159816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4926199,"threshold_uncertainty_score":0.9987831,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1992303625","doi":"10.2196/jmir.3.2.e19","title":"Evidence-based Patient Choice and Consumer health informatics in the Internet age","year":2001,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":298,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; University Health Network","funders":"University of Oxford","keywords":"Health informatics; Informatics; The Internet; Health care; Internet privacy; Health Administration Informatics; Witness; Public health; Public health informatics; eHealth; Public relations; Medicine; Health policy; HRHIS; Computer science; World Wide Web; Nursing; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.306678141123047,"gpt":0.5823142184953949,"spread":0.2756360773723479,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.047839,0.0001101652,0.0003543296,0.0004464158,0.0001840631,0.00008697817,0.0008914518,0.0002313803,0.002101604],"category_scores_gemma":[0.0154711,0.00005999144,0.0000559325,0.0005017077,0.0003030115,0.000903078,0.0002496564,0.004601097,0.00009485906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00037406,"about_ca_system_score_gemma":0.001994248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001914062,"about_ca_topic_score_gemma":0.0007027678,"domain_scores_codex":[0.9880942,0.004542191,0.003651063,0.0001016962,0.002924419,0.0006864245],"domain_scores_gemma":[0.9897699,0.007662079,0.0009551471,0.000273812,0.0007202798,0.0006187295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004371926,0.0002967485,0.4494078,0.001414819,0.00001906749,0.00009407075,0.07303361,0.000002582519,5.615884e-7,0.0008739779,0.2264648,0.2479547],"study_design_scores_gemma":[0.001771834,0.001083722,0.102111,0.008692581,0.00000301869,0.00008248106,0.01422712,0.01632651,0.000003155614,0.0002543291,0.8553501,0.00009411562],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9505879,0.001850042,0.001503269,0.04314321,0.0004112603,0.000676892,0.000002351603,0.000007800886,0.001817256],"genre_scores_gemma":[0.965072,0.00278815,0.0003386021,0.03132729,0.0001834611,0.00003093315,0.000003782202,0.000006456211,0.0002492691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6288853,"threshold_uncertainty_score":0.9988106,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2045835403","doi":"10.2196/jmir.8.3.e22","title":"Are Physicians Ready for Patients With Internet-Based Health Information?","year":2006,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":293,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Institute of Gender and Health; Canadian Institutes of Health Research","keywords":"The Internet; Internet privacy; Medical information; Health information; Medicine; Patient portal; Health care; Family medicine; World Wide Web; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.1054854519321465,"gpt":0.5311136113837999,"spread":0.4256281594516534,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01308957,0.0001294829,0.0004296666,0.0004490744,0.000282452,0.00006750226,0.0006930408,0.0002317725,0.000855046],"category_scores_gemma":[0.002717126,0.00008221026,0.00008447903,0.0003424294,0.000169956,0.001273504,0.0001005904,0.00220231,0.0001445556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006089624,"about_ca_system_score_gemma":0.001983454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009879027,"about_ca_topic_score_gemma":0.0003308765,"domain_scores_codex":[0.9925981,0.001049351,0.002697295,0.0001210922,0.002796391,0.000737788],"domain_scores_gemma":[0.9913904,0.001533862,0.002352171,0.0002374157,0.004027006,0.0004591466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001378806,0.000634219,0.2885987,0.001843757,0.00002803489,0.000003011965,0.002069555,0.000009068129,1.112469e-7,0.002204062,0.6719333,0.0312974],"study_design_scores_gemma":[0.005596917,0.001607247,0.1860606,0.00390843,0.000005154329,0.000002008323,0.001599364,0.009228234,0.000009340029,0.0003568023,0.7915004,0.000125408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8719668,0.0001140653,0.08543402,0.03377017,0.001390661,0.002582228,0.000153214,0.00005451706,0.00453432],"genre_scores_gemma":[0.9812909,0.00001261687,0.001738021,0.01492775,0.0007656722,0.0000931135,0.0002036258,0.00001705384,0.00095126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1195672,"threshold_uncertainty_score":0.9568062,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312694242","doi":"10.2196/40778","title":"The Relation Between eHealth Literacy and Health-Related Behaviors: Systematic Review and Meta-analysis","year":2022,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":280,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"eHealth; Health literacy; Literacy; Population; Medicine; Health care; MEDLINE; Meta-analysis; Psychology; Gerontology; Environmental health","retraction":null,"screen_n_in":null,"score":{"opus":0.4568090394961257,"gpt":0.6492115161674654,"spread":0.1924024766713397,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1852349,0.0003557447,0.007979286,0.001067042,0.001459088,0.0001621269,0.001392105,0.0006286731,0.005732598],"category_scores_gemma":[0.01169803,0.0001684334,0.001251808,0.002017994,0.0002740918,0.0006139096,0.0008838424,0.01198144,0.00005102203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009647612,"about_ca_system_score_gemma":0.003858546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005678912,"about_ca_topic_score_gemma":0.00004682838,"domain_scores_codex":[0.9484841,0.03285338,0.01322628,0.0003887898,0.004199314,0.0008481154],"domain_scores_gemma":[0.9697748,0.01855065,0.008549844,0.0008113448,0.0009065493,0.001406778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006139539,0.00003730448,0.0001074406,0.9107066,0.01742728,0.00001154341,0.001780236,1.107767e-8,6.370637e-11,0.0003778782,0.008357797,0.06118777],"study_design_scores_gemma":[0.0001666762,0.0002218624,0.0001159456,0.09195042,0.1197091,0.00008354647,0.0002444987,0.00003588782,5.489809e-10,0.0000996271,0.7872507,0.0001217708],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001087151,0.9723817,0.00007500919,0.02300236,0.000183843,0.00415554,0.00005880041,0.00001288799,0.0001189831],"genre_scores_gemma":[0.00003800023,0.9951637,0.00005166019,0.001934973,0.0001304236,0.0005396826,0.00009877761,0.00002790794,0.00201491],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8187562,"threshold_uncertainty_score":0.9998409,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2066612869","doi":"10.2196/jmir.1357","title":"Clinical Effects of Home Telemonitoring in the Context of Diabetes, Asthma, Heart Failure and Hypertension: A Systematic Review","year":2010,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":270,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"Canada Research Chairs","keywords":"Medicine; Context (archaeology); Asthma; Diabetes mellitus; MEDLINE; Quality of life (healthcare); Heart failure; Glycemic; Intensive care medicine; Telemedicine; Clinical trial; Blood pressure; Cochrane Library; Physical therapy; Health care; Internal medicine; Randomized controlled trial; Nursing","retraction":null,"screen_n_in":null,"score":{"opus":0.09286025791613031,"gpt":0.4571097585017002,"spread":0.3642495005855698,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02416788,0.0002682233,0.005347183,0.0005271629,0.00001819555,0.0000231564,0.0006781956,0.0005333822,0.00007181409],"category_scores_gemma":[0.01194425,0.0001218895,0.0008020559,0.0004599484,0.0004234009,0.00005104295,0.0002856526,0.003962559,0.00001355737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007343319,"about_ca_system_score_gemma":0.0005704104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003182083,"about_ca_topic_score_gemma":0.00001505692,"domain_scores_codex":[0.9899603,0.003192056,0.002945741,0.000248294,0.003280098,0.0003734716],"domain_scores_gemma":[0.9902216,0.007527059,0.000791748,0.0005351903,0.0005187067,0.0004056919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0000141886,0.0004580448,0.0002911544,0.8427402,0.0005350951,0.0008292265,0.00006167381,4.303611e-10,0.000001257935,0.00003225124,0.02591073,0.1291261],"study_design_scores_gemma":[0.0007461567,0.001242967,0.00005166267,0.6230686,0.001071444,0.0006126703,0.00007907856,0.000002779396,0.000002546135,0.000003135885,0.3730619,0.00005703491],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002280771,0.9891166,0.000001611391,0.005639194,0.0003317244,0.002610659,0.000001124226,0.000002701946,0.00001563521],"genre_scores_gemma":[0.003776251,0.9951505,0.0001625413,0.0002665738,0.0004622932,0.00005026902,0.000003257444,0.00002484341,0.0001034833],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3471511,"threshold_uncertainty_score":0.9983354,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2074782377","doi":"10.2196/jmir.3588","title":"Patient Perspectives on Online Health Information and Communication With Doctors: A Qualitative Study of Patients 50 Years Old and Over","year":2015,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":258,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; The Scarborough Hospital","funders":"University of Toronto Scarborough; University of Toronto","keywords":"Qualitative research; Medicine; Health communication; Patient portal; Health care; Psychology; Family medicine; Medical education; Internet privacy; Computer science; Communication; Sociology","retraction":null,"screen_n_in":null,"score":{"opus":0.1669649232215852,"gpt":0.5934512405070324,"spread":0.4264863172854472,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01318106,0.00007139963,0.0002753818,0.0003488819,0.0001070524,0.00002546014,0.0002026106,0.00009519375,0.0001041479],"category_scores_gemma":[0.00316256,0.00004482442,0.00001421772,0.0002012028,0.0001883595,0.0009283095,0.00020571,0.001509002,0.000003783863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003141324,"about_ca_system_score_gemma":0.0007259967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002286652,"about_ca_topic_score_gemma":0.0002563091,"domain_scores_codex":[0.9926327,0.003423115,0.001605426,0.00008068415,0.002045592,0.0002124457],"domain_scores_gemma":[0.9954709,0.001149295,0.00103639,0.0001775194,0.001673164,0.0004926875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001233846,0.0009708669,0.05256127,0.0001942503,0.00002753672,5.913143e-7,0.9140093,5.369076e-7,3.032242e-8,0.0006423023,0.004987826,0.02537166],"study_design_scores_gemma":[0.003899675,0.007914863,0.1784338,0.001142032,0.000002868887,0.00000143691,0.7990917,0.0005318629,3.573348e-7,0.0001261247,0.00880992,0.00004538504],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970508,0.0002303626,0.00007269491,0.001777706,0.00005990021,0.0006273621,0.00001786579,0.000003894179,0.0001594201],"genre_scores_gemma":[0.9984247,0.0003500547,0.0003977064,0.0007397402,0.00003437139,0.000009471512,0.00001446062,0.000003989706,0.00002547067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1258725,"threshold_uncertainty_score":0.6555945,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2608106098","doi":"10.2196/jmir.6686","title":"Impact of Information and Communication Technologies on Nursing Care: Results of an Overview of Systematic Reviews","year":2017,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Nursing Diagnosis and Documentation","field":"Nursing","cited_by":256,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Centre hospitalier universitaire de Québec; Université Laval; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research; Max-Planck-Gesellschaft","keywords":"eHealth; Nursing; Documentation; Nursing care; Nursing management; Health care; Medicine; Quality (philosophy); Nursing Outcomes Classification; Information and Communications Technology; Systematic review; MEDLINE; Nursing research; Psychology; Team nursing; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.4257999835171782,"gpt":0.6121742999001719,"spread":0.1863743163829937,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01216663,0.0002057964,0.002531274,0.001083088,0.00005449474,0.0001021373,0.001484295,0.0004609569,0.00001430525],"category_scores_gemma":[0.01695852,0.0001241869,0.0004371929,0.0002830563,0.0006290802,0.0005464355,0.0001274614,0.001247453,0.000002966457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005309155,"about_ca_system_score_gemma":0.0003140155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003378302,"about_ca_topic_score_gemma":0.00001229516,"domain_scores_codex":[0.991731,0.002447955,0.003414368,0.0001270263,0.002080346,0.0001992405],"domain_scores_gemma":[0.990185,0.001903257,0.005898774,0.0008848781,0.001006761,0.0001213611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000169222,0.0001830368,0.000004636544,0.1634123,0.00008472768,0.000001470385,0.001381301,2.783055e-7,0.000001152612,0.0001202159,0.00273966,0.831902],"study_design_scores_gemma":[0.0007208416,0.004124461,0.00005770798,0.9575916,0.0004155515,0.00009682291,0.0009495728,0.00005091424,0.00008072492,0.0002356607,0.03557234,0.0001038405],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009848647,0.9971477,0.00000855435,0.0003063932,0.0002196447,0.001110745,0.0000209446,0.000005354725,0.0001957632],"genre_scores_gemma":[0.01484936,0.9848007,0.0002309689,0.000003080019,0.00003965962,0.00001777563,0.00003999028,0.00001356206,0.000004919945],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8317981,"threshold_uncertainty_score":0.991322,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4235593960","doi":"10.2196/jmir.2042","title":"Correction: Improving the Quality of Web Surveys: the Checklist for Reporting Results of Internet E-Surveys (CHERRIES)","year":2012,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":242,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University Health Network","funders":"","keywords":"Checklist; The Internet; Table (database); Statement (logic); Quality (philosophy); Statistics; World Wide Web; Psychology; Information retrieval; Computer science; Mathematics; Data mining; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.5433048644850249,"gpt":0.5892410799536633,"spread":0.04593621546863835,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.8192126,0.0001044802,0.0005053327,0.0001556652,0.0002332857,0.00005116148,0.00148865,0.0003366198,0.0003708463],"category_scores_gemma":[0.6825278,0.00005598674,0.0002978671,0.0005407516,0.002402017,0.0002014247,0.0002983844,0.001744961,0.00000296324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001323209,"about_ca_system_score_gemma":0.001439633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02160081,"about_ca_topic_score_gemma":0.00945201,"domain_scores_codex":[0.7224493,0.263303,0.005970922,0.0003744386,0.006631559,0.001270794],"domain_scores_gemma":[0.8123509,0.1789532,0.004667463,0.0005211806,0.003054182,0.0004530943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02744524,0.00153246,0.3070205,0.000425391,0.001141569,0.00005309179,0.1468907,0.000005513064,0.007491531,0.004405355,0.2991795,0.2044091],"study_design_scores_gemma":[0.002469747,0.00114721,0.8699173,0.0006451872,0.00005182721,0.0001321809,0.04915405,0.0008641574,0.01816607,0.0005722305,0.05664472,0.0002352702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725646,0.000818694,0.01169475,0.007257897,0.004180319,0.0003145769,0.00001290631,0.00000798425,0.003148269],"genre_scores_gemma":[0.9921354,0.0001184544,0.0002120482,0.00005337745,0.001219132,0.000009326483,0.000001909219,0.00001028501,0.006240089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5628968,"threshold_uncertainty_score":0.9849144,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2118925472","doi":"10.2196/jmir.1589","title":"Wikipedia: A Key Tool for Global Public Health Promotion","year":2011,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":239,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; St. Michael's Hospital; University of Saskatchewan","funders":"","keywords":"Key (lock); Public health; Health promotion; World Wide Web; Computer science; Internet privacy; Data science; Medicine; Computer security; Nursing","retraction":null,"screen_n_in":null,"score":{"opus":0.2855737451355565,"gpt":0.533754942753633,"spread":0.2481811976180765,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02068739,0.00004812315,0.000137445,0.0001415797,0.0001838989,0.0001676028,0.0006562521,0.0001507983,0.002055354],"category_scores_gemma":[0.01111391,0.00003832894,0.00006511737,0.0005539311,0.0003304311,0.0003573342,0.0000495335,0.0004251459,0.00002630817],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006173815,"about_ca_system_score_gemma":0.006146634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006649041,"about_ca_topic_score_gemma":0.001782517,"domain_scores_codex":[0.9954065,0.0009576803,0.0004442481,0.0001084609,0.002675249,0.0004078814],"domain_scores_gemma":[0.9969679,0.0002050945,0.0001980684,0.00008616822,0.001950666,0.0005921745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000976915,0.001202933,0.006330723,0.0000385333,0.00004243961,0.00001121694,0.04364912,4.141706e-8,0.000002417025,0.4159342,0.3477253,0.1849654],"study_design_scores_gemma":[0.000779335,0.001714272,0.005024625,0.0001558919,0.000004414315,0.00002520643,0.01555467,0.0001359721,0.00002510997,0.02453086,0.9519603,0.00008930254],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4155084,0.000652044,0.03092919,0.5016313,0.004922814,0.001079455,0.000007113191,0.00003979011,0.04522982],"genre_scores_gemma":[0.9936442,0.00033931,0.001302408,0.000474072,0.001940068,0.00002269209,0.000001969745,0.000005026619,0.002270254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6042351,"threshold_uncertainty_score":0.9994876,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3088108321","doi":"10.2196/23954","title":"Fitbit-Based Interventions for Healthy Lifestyle Outcomes: Systematic Review and Meta-Analysis","year":2020,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Physical Activity and Health","field":"Medicine","cited_by":235,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Military College of Canada; HEC Montréal; Université du Québec à Montréal","funders":"","keywords":"Meta-analysis; Psychological intervention; Medicine; Systematic review; MEDLINE; Psychology; Gerontology; Physical therapy; Nursing","retraction":null,"screen_n_in":null,"score":{"opus":0.5993565555251108,"gpt":0.6258886088883685,"spread":0.0265320533632577,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_broad","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_broad"],"category_scores_codex":[0.01458874,0.0003714308,0.01742121,0.0009994543,0.00007048061,0.00006632537,0.000813924,0.0004066906,0.001054971],"category_scores_gemma":[0.01779877,0.0001918774,0.01069776,0.001183686,0.0002228734,0.00005882063,0.0002168656,0.003720573,0.00004566645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003250267,"about_ca_system_score_gemma":0.002358403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005470846,"about_ca_topic_score_gemma":0.00004089247,"domain_scores_codex":[0.9900018,0.002638543,0.003262128,0.0004078951,0.003196173,0.0004934847],"domain_scores_gemma":[0.9881886,0.007209258,0.001501232,0.0004768071,0.0008631395,0.001760997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0000304304,0.0006967767,6.900956e-7,0.8803586,0.1060748,0.0001404629,0.00001851776,2.053419e-8,3.589585e-9,0.0001430777,0.008896241,0.003640356],"study_design_scores_gemma":[0.0003865347,0.001991533,5.447153e-7,0.2518524,0.5719665,0.0001712637,0.00001193123,0.0000903476,5.427826e-8,0.00003105837,0.1733952,0.0001026204],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[7.119047e-7,0.9323925,0.001572429,0.06295282,0.00005061333,0.002927565,0.00006962485,0.000009555681,0.00002413662],"genre_scores_gemma":[0.00004990413,0.9946895,0.000242418,0.003514977,0.0002202738,0.0003981174,0.00003171996,0.00003946556,0.0008135813],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6285063,"threshold_uncertainty_score":0.9998582,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2161620759","doi":"10.2196/jmir.7.1.e7","title":"Usage and Longitudinal Effectiveness of a Web-Based Self-Help Cognitive Behavioral Therapy Program for Panic Disorder","year":2005,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":234,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Panic disorder; Panic; Anxiety; Cognitive behavioral therapy; Context (archaeology); Psychological intervention; Agoraphobia; Session (web analytics); Psychology; Clinical psychology; Psychiatry; Medicine; Computer science; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.1325176619394532,"gpt":0.549147409836536,"spread":0.4166297478970828,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006373849,0.0001301538,0.0003648126,0.0003331866,0.00004546743,0.00005521167,0.0004115763,0.0001905469,0.001001563],"category_scores_gemma":[0.0004207402,0.00009780213,0.0002174999,0.0002239618,0.0004626947,0.0001438167,0.00009257206,0.0008343202,0.00002132174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001284672,"about_ca_system_score_gemma":0.0002714224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001273028,"about_ca_topic_score_gemma":0.000114946,"domain_scores_codex":[0.9964187,0.0009211368,0.0006940226,0.0002281088,0.001275957,0.000462075],"domain_scores_gemma":[0.9966179,0.001996882,0.0002207058,0.0001204727,0.0006448708,0.0003992356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007396211,0.02277415,0.05497702,0.000631695,0.0004451687,0.0001614177,0.0006495029,3.422041e-7,0.00007443236,0.001321568,0.002814503,0.908754],"study_design_scores_gemma":[0.07660716,0.1871888,0.6381932,0.01529947,0.0003001661,0.001425907,0.002940343,0.004832895,0.009489194,0.002334713,0.06053757,0.0008504837],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944055,0.001571166,0.0008452529,0.001313836,0.0003443617,0.001055478,0.00002782,0.00001672926,0.0004198387],"genre_scores_gemma":[0.9988846,0.00004377176,0.000335954,0.00004152738,0.0001772602,0.0002525744,0.000006568423,0.00002353102,0.0002342574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9079035,"threshold_uncertainty_score":0.9999117,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3132354137","doi":"10.2196/26874","title":"COVID-19 Vaccine Hesitancy in Canada: Content Analysis of Tweets Using the Theoretical Domains Framework","year":2021,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":232,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Victoria; Public Health Ontario; Women's College Hospital; University of Toronto; Douglas College","funders":"","keywords":"Context (archaeology); Public relations; Inclusion (mineral); Pandemic; Content analysis; Social media; Politics; Coronavirus disease 2019 (COVID-19); Public health; Political science; Medicine; Psychology; Sociology; Social psychology; Nursing; Social science; Law; History","retraction":null,"screen_n_in":null,"score":{"opus":0.1302897685553505,"gpt":0.4555046198375129,"spread":0.3252148512821624,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01122041,0.00008735118,0.0005362561,0.0003761176,0.0001430414,0.00006378757,0.00104139,0.0001781139,0.01158185],"category_scores_gemma":[0.03309701,0.00005569581,0.0002230102,0.002101215,0.0001672978,0.00008629988,0.0002133105,0.001536566,0.000001346725],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692342,"about_ca_system_score_gemma":0.01780176,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5701358,"about_ca_topic_score_gemma":0.9213427,"domain_scores_codex":[0.9921484,0.002192336,0.0008578238,0.0001712826,0.00414097,0.0004891872],"domain_scores_gemma":[0.9928771,0.004872564,0.0002209181,0.0002435696,0.0009128179,0.0008730416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003629079,0.0003795363,0.6422943,0.00006316384,0.001408983,0.006788723,0.01463685,0.0001542755,0.0001130673,0.3135243,0.01811919,0.002154612],"study_design_scores_gemma":[0.006854422,0.0008995007,0.5630801,0.003431845,0.001882764,0.0004712688,0.2283671,0.01904265,0.001546248,0.1104959,0.06301689,0.0009113164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9142087,0.00238104,0.004211324,0.07823122,0.0002371028,0.00008823198,0.00000359245,0.000001848711,0.0006369416],"genre_scores_gemma":[0.9968382,0.001091727,0.0001356304,0.001472849,0.0003378271,0.000001305994,8.130433e-7,0.000006254187,0.0001154366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3512069,"threshold_uncertainty_score":0.9893217,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3023680935","doi":"10.2196/19274","title":"The Influence of Electronic Health Record Use on Physician Burnout: Cross-Sectional Survey","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":231,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"McMaster University; University of Waterloo; University of Toronto; Centre for Addiction and Mental Health","funders":"Centre for Addiction and Mental Health","keywords":"Burnout; Medicine; Family medicine; Cross-sectional study; Electronic health record; Mental health; Stressor; Documentation; Health care; Nursing; Clinical psychology; Psychiatry","retraction":null,"screen_n_in":null,"score":{"opus":0.2501654309285392,"gpt":0.5715158100810895,"spread":0.3213503791525504,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04680178,0.0001712224,0.0006444446,0.0002093228,0.0005909629,0.00006369728,0.001680364,0.0003617757,0.0003981071],"category_scores_gemma":[0.0247745,0.0001062825,0.0001650349,0.0007845265,0.0004361206,0.0002078984,0.0002849694,0.009633419,0.0002186622],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001298013,"about_ca_system_score_gemma":0.01292545,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008122758,"about_ca_topic_score_gemma":0.004325212,"domain_scores_codex":[0.9796845,0.0105084,0.002701065,0.0003234593,0.005024857,0.001757773],"domain_scores_gemma":[0.9801661,0.01452056,0.001348564,0.0003550597,0.002388742,0.001220971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003732683,0.0002995537,0.8420831,0.0007765582,0.0002380693,0.00004137996,0.002639867,0.00007301194,0.0001050663,0.006283825,0.1298803,0.01384659],"study_design_scores_gemma":[0.001714789,0.006970511,0.806488,0.001550693,0.000002591041,0.00002626434,0.0005298392,0.001406274,0.00003258157,0.0005194172,0.1806266,0.0001324054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727362,0.0007060497,0.0001636855,0.02472764,0.0007186275,0.0006055226,0.00001306228,0.00001417403,0.0003150089],"genre_scores_gemma":[0.990654,0.001834679,0.00001139811,0.004764594,0.001561147,0.00002468322,0.00000400766,0.00003400101,0.001111527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05074633,"threshold_uncertainty_score":0.9984822,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4394746513","doi":"10.2196/56930","title":"Roles, Users, Benefits, and Limitations of Chatbots in Health Care: Rapid Review","year":2024,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":226,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal; McGill University; McGill University Health Centre","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Preprint; Health care; Internet privacy; Computer science; Medicine; World Wide Web; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.3980635892049565,"gpt":0.5817439059953514,"spread":0.1836803167903949,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01104662,0.000273124,0.002130084,0.001496247,0.00002621622,0.00005833221,0.001109653,0.0004263096,0.0007886278],"category_scores_gemma":[0.002674571,0.0001952561,0.0006025723,0.001013936,0.0003266786,0.0001065358,0.0004602172,0.003772766,0.0001991711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006132872,"about_ca_system_score_gemma":0.001686061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003079365,"about_ca_topic_score_gemma":0.0005275666,"domain_scores_codex":[0.9910001,0.002168182,0.003550467,0.000381568,0.002294224,0.0006055077],"domain_scores_gemma":[0.9956054,0.001954861,0.0009243579,0.0003599313,0.0003795608,0.0007758929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001408481,0.0002727999,0.000001512249,0.09936704,0.0001848067,0.0001795456,0.0003937664,7.264735e-9,1.11194e-9,0.0055427,0.1084741,0.7855696],"study_design_scores_gemma":[0.000184349,0.001126636,0.000007161487,0.3549605,0.0000860374,0.0005541047,0.0002152859,6.056862e-7,4.707078e-8,0.00007565202,0.6427208,0.00006878186],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001022896,0.9860204,0.000003479439,0.009902573,0.001313634,0.0008296815,0.00007918492,0.000006860684,0.001833991],"genre_scores_gemma":[0.0002126706,0.9979961,0.00004982022,0.0002783154,0.0002626618,0.00008213783,0.00003827427,0.0000526886,0.001027311],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7855008,"threshold_uncertainty_score":0.9985256,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1506894283","doi":"10.2196/jmir.4359","title":"Online Recruitment Methods for Web-Based and Mobile Health Studies: A Review of the Literature","year":2015,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":224,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Centre for Family Medicine","funders":"","keywords":"CINAHL; mHealth; Psychological intervention; MEDLINE; The Internet; Duration (music); eHealth; Medicine; Psychology; Applied psychology; Health care; World Wide Web; Nursing; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.7696126403004561,"gpt":0.7466262677914882,"spread":0.02298637250896785,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.09933075,0.0001809219,0.002156089,0.0003156586,0.0001613572,0.00004324173,0.001391893,0.0004739962,0.0001308356],"category_scores_gemma":[0.1226703,0.00009709966,0.0004660039,0.001243441,0.0009487793,0.00005871867,0.0002079204,0.002409385,0.000001095635],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00171421,"about_ca_system_score_gemma":0.02705397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002697303,"about_ca_topic_score_gemma":0.0001587995,"domain_scores_codex":[0.9785591,0.01522657,0.001881198,0.000237523,0.00360105,0.0004945844],"domain_scores_gemma":[0.9696124,0.02347456,0.001841609,0.0003100125,0.003834163,0.0009272405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007368956,0.0001435741,0.00000116367,0.1083299,0.00008454512,0.000001604422,0.006622702,3.818359e-9,4.829027e-9,0.0001143469,0.06436075,0.820334],"study_design_scores_gemma":[0.0001665318,0.0005361939,5.333798e-7,0.2859592,0.00007884412,0.000009078406,0.001340952,0.000002622423,8.087233e-8,0.0001570168,0.7117033,0.00004568348],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000005624286,0.9620079,0.00002362066,0.02630492,0.003940751,0.007663586,0.00002664372,0.000003940156,0.00002302396],"genre_scores_gemma":[5.73129e-7,0.9910811,0.003366486,0.0006993082,0.002407882,0.002290566,0.00001026137,0.00002123192,0.0001225573],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8202884,"threshold_uncertainty_score":0.9998921,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}