{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1139,"total_is_capped":false,"direct_labels_cover":6,"predictions_cover":1139,"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","author_layer_release":"2026-06-26"},"query_hash":"e6346f8a5a98","filters":{"venue":"JMIR Human Factors"}},"results":[{"id":"W2595934339","doi":"10.2196/humanfactors.5443","title":"A Human-Centered Design Methodology to Enhance the Usability, Human Factors, and User Experience of Connected Health Systems: A Three-Phase Methodology","year":2017,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":407,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Usability; Heuristic evaluation; User-centered design; Pluralistic walkthrough; User experience design; Human–computer interaction; Computer science; Process (computing); Product (mathematics); Usability engineering; Usability goals; Product design; Context (archaeology); New product development; Iterative design; Design review (U.S. government); Cognitive walkthrough; Process management; Engineering; Product testing; Operations management","authors":[{"name":"Richard Harte","is_ca":false},{"name":"Liam Glynn","is_ca":false},{"name":"Alejandro Rodríguez‐Molinero","is_ca":false},{"name":"Paul Baker","is_ca":false},{"name":"Thomas Scharf","is_ca":false},{"name":"Leo R. Quinlan","is_ca":false},{"name":"Gearóid ÓLaighin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4932956091516764,"gpt":0.5990514913837414,"spread":0.1057558822320649,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08838198,0.002601428,0.001152361,0.007356425,0.003923316,0.005996216,0.003103263,0.00242597,0.00295761],"category_scores_gemma":[0.04714784,0.001524144,0.002401809,0.003312758,0.007905118,0.003970065,0.005778246,0.003418551,0.0006803498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006817313,"about_ca_system_score_gemma":0.01782288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002039985,"about_ca_topic_score_gemma":0.003765854,"domain_scores_codex":[0.9048204,0.07718495,0.003882549,0.003479014,0.009624246,0.001008773],"domain_scores_gemma":[0.9207067,0.05052539,0.003312551,0.005281464,0.01886752,0.001306334],"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":[0.0003304061,0.002216634,0.007478557,0.01256242,0.0004540438,0.001017308,0.1875776,0.01377986,0.02947306,0.1886484,0.005567745,0.5508939],"study_design_scores_gemma":[0.002796161,0.01033162,0.01713654,0.02167952,0.001536973,0.003061198,0.1194881,0.09967811,0.07298388,0.2801066,0.3702095,0.0009918278],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01693468,0.0005153434,0.9616638,0.0008534441,0.00007835767,0.01458119,0.00008606414,0.0002062562,0.005080795],"genre_scores_gemma":[0.02524055,0.000170385,0.9656639,0.0001474184,0.000009152939,0.008046234,0.00005204885,0.00004365686,0.0006266835],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08838198,"threshold_uncertainty_score":0.4674142,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4376872703","doi":"10.2196/47564","title":"User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study","year":2023,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":308,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Health care; Generative grammar; Transformer; Psychology; Computer science; Engineering; Artificial intelligence; Political science","authors":[{"name":"Yeganeh Shahsavar","is_ca":false},{"name":"Avishek Choudhury","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4508828944368118,"gpt":0.5279781904950642,"spread":0.07709529605825238,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003998371,0.0001989442,0.0003696124,0.001091128,0.000603529,0.001003966,0.000333702,0.0007586881,0.00203748],"category_scores_gemma":[0.008545955,0.0004690232,0.0005912711,0.0008884087,0.0005116138,0.001160393,0.0008100657,0.001114819,0.0006865574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004480825,"about_ca_system_score_gemma":0.0005391177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004285084,"about_ca_topic_score_gemma":0.004030668,"domain_scores_codex":[0.9984694,0.0005730178,0.0002493155,0.0001627966,0.0003383797,0.0002070021],"domain_scores_gemma":[0.9911116,0.003560122,0.002460549,0.0004168604,0.001316411,0.001134468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003575504,0.0003712863,0.9931228,0.00004134009,0.00002652165,0.00004754668,0.003748944,0.000033457,0.0001263455,0.00003468251,0.000142696,0.002268715],"study_design_scores_gemma":[0.000008511037,0.0005953852,0.9883637,0.00003251742,0.00002586457,0.0001834292,0.009534559,0.0006534482,0.0001453326,0.00003412232,0.0004095052,0.00001353988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993032,0.00003522755,0.0001118142,0.00004552836,0.00000242624,0.00005069034,0.0001727112,0.000002777995,0.0002756066],"genre_scores_gemma":[0.9991527,0.00006756723,0.0002511,0.00007206514,0.000003757498,0.00008183429,0.0001700491,0.000001606531,0.0001992365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004285084,"threshold_uncertainty_score":0.02114564,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399592113","doi":"10.2196/48633","title":"Barriers to and Facilitators of Artificial Intelligence Adoption in Health Care: Scoping Review","year":2024,"lang":"en","type":"review","venue":"JMIR Human Factors","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":244,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Preprint; Health care; Psychology; Computer science; Nursing; Medicine; World Wide Web; Political science","authors":[{"name":"Masooma Hassan","is_ca":true},{"name":"André Kushniruk","is_ca":true},{"name":"Elizabeth M. Borycki","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2864030594505766,"gpt":0.5420277354953121,"spread":0.2556246760447355,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0531234,0.001497703,0.004613685,0.02553326,0.002091815,0.009476117,0.002558784,0.003909114,0.002787523],"category_scores_gemma":[0.2031939,0.001781949,0.005257669,0.02746767,0.002516694,0.006966196,0.004111659,0.002801774,0.0004126608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00863343,"about_ca_system_score_gemma":0.0418542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01452269,"about_ca_topic_score_gemma":0.02387144,"domain_scores_codex":[0.961029,0.01506385,0.01375379,0.001557654,0.007395377,0.001200215],"domain_scores_gemma":[0.7064073,0.247712,0.01979063,0.002002472,0.02292168,0.001165942],"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":[0.0001574254,0.0000877556,0.005008081,0.7431808,0.002790441,0.0003394386,0.008425212,0.0003734863,0.0001869894,0.003368868,0.004312194,0.2317692],"study_design_scores_gemma":[0.00002655232,0.00007031555,0.003545486,0.962597,0.004629217,0.000187734,0.004866127,0.0001084914,0.0001913828,0.0006848717,0.02306103,0.00003189127],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004250987,0.9886812,0.0006339454,0.002847676,0.0002732886,0.0007951537,0.0002306711,0.00001218232,0.002274877],"genre_scores_gemma":[0.02152989,0.9743391,0.001580052,0.0007917736,0.00009395833,0.001267005,0.0002113577,0.000008128908,0.0001787867],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0531234,"threshold_uncertainty_score":0.2809467,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3148228083","doi":"10.2196/28589","title":"Patient Satisfaction and Trust in Telemedicine During the COVID-19 Pandemic: Retrospective Observational Study","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":216,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institutes of Health","keywords":"Telemedicine; Medicine; Patient satisfaction; Observational study; Family medicine; Descriptive statistics; Retrospective cohort study; Logistic regression; Ordered logit; Telehealth; Health care; Pandemic; Coronavirus disease 2019 (COVID-19); Nursing; Internal medicine; Disease","authors":[{"name":"Sharon Orrange","is_ca":false},{"name":"Arpna Patel","is_ca":false},{"name":"Wendy J. Mack","is_ca":false},{"name":"Julia Cassetta","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1292029743150371,"gpt":0.4122542398659436,"spread":0.2830512655509065,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001408711,0.0001544765,0.000360794,0.0008674779,0.0004650448,0.0007007165,0.00033899,0.000463332,0.001375203],"category_scores_gemma":[0.004790889,0.0002598361,0.0003939005,0.001902088,0.0003791506,0.0007260252,0.0006270906,0.0008005091,0.00017357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006099281,"about_ca_system_score_gemma":0.0005282882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006888105,"about_ca_topic_score_gemma":0.006673785,"domain_scores_codex":[0.998773,0.0004378516,0.0002172962,0.0001577299,0.0002405559,0.0001735674],"domain_scores_gemma":[0.9941155,0.00110224,0.003511259,0.0002209946,0.0003871233,0.0006628061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003039649,0.00003323759,0.9994572,0.000006538226,0.00001056287,0.00002764168,0.0001084103,0.000009957347,0.00001805195,0.000003904399,0.00004408959,0.0002501002],"study_design_scores_gemma":[0.00000463119,0.0001924795,0.9985305,0.00000946942,0.00001135391,0.0002022993,0.0008098627,0.0001077577,0.00001814736,0.0000047483,0.0001053997,0.00000335863],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999238,0.00009032287,0.0000423204,0.00003216816,0.000001826329,0.00002134678,0.0003236413,0.000001668233,0.0002487384],"genre_scores_gemma":[0.9996142,0.00004440916,0.0000444145,0.00002723811,0.000003937277,0.00001845589,0.000210505,8.29484e-7,0.00003599019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006888105,"threshold_uncertainty_score":0.01369601,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1706695559","doi":"10.2196/humanfactors.4361","title":"Participatory Research as One Piece of the Puzzle: A Systematic Review of Consumer Involvement in Design of Technology-Based Youth Mental Health and Well-Being Interventions","year":2015,"lang":"en","type":"review","venue":"JMIR Human Factors","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":202,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Young and Well Cooperative Research Centre; Flinders University; Australian Government","keywords":"Psychological intervention; Mental health; Citizen journalism; Participatory design; Psychology; Participatory action research; Engineering ethics; Sociology; Applied psychology; Psychotherapist; Political science; Engineering; Psychiatry","authors":[{"name":"Simone Orlowski","is_ca":false},{"name":"Sharon Lawn","is_ca":false},{"name":"Anthony Venning","is_ca":false},{"name":"Megan Winsall","is_ca":false},{"name":"Gabrielle Jones","is_ca":false},{"name":"Kaisha Wyld","is_ca":false},{"name":"Raechel Damarell","is_ca":false},{"name":"Gaston Antezana","is_ca":false},{"name":"G. Schrader","is_ca":false},{"name":"David Smith","is_ca":false},{"name":"Philippa Collin","is_ca":false},{"name":"Niranjan Bidargaddi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.730865419408229,"gpt":0.5779743974390988,"spread":0.1528910219691302,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1139519,0.001784819,0.008166624,0.0166905,0.002272931,0.008227561,0.003053861,0.004346125,0.003595263],"category_scores_gemma":[0.2389132,0.002238336,0.007290686,0.02206195,0.004867087,0.01113798,0.004583607,0.003369654,0.000368648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009142063,"about_ca_system_score_gemma":0.0388373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006087237,"about_ca_topic_score_gemma":0.01639936,"domain_scores_codex":[0.8297157,0.1237257,0.02746633,0.003653791,0.01425566,0.001182839],"domain_scores_gemma":[0.5981034,0.3663214,0.01782019,0.004809042,0.01191707,0.001028967],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001719779,0.0000493893,0.0004823703,0.8463923,0.002168282,0.0001552597,0.006533021,0.0002169569,0.0001626602,0.002746149,0.001913508,0.1390083],"study_design_scores_gemma":[0.0001224822,0.0001501846,0.0007836513,0.9631351,0.004013311,0.0001847427,0.003447509,0.0001063005,0.0001592764,0.001531786,0.02633356,0.00003218102],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009619145,0.9954802,0.0008880515,0.001339054,0.0002201955,0.0005611775,0.00005150415,0.0000103376,0.0004875027],"genre_scores_gemma":[0.02473176,0.9659705,0.005323714,0.001145204,0.0001468633,0.002451164,0.00006714406,0.00001757395,0.0001459646],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8860481,"threshold_uncertainty_score":0.6026427,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2582665000","doi":"10.2196/humanfactors.6217","title":"eHealth Literacy: Predictors in a Population With Moderate-to-High Cardiovascular Risk","year":2017,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":201,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"National Health and Medical Research Council","keywords":"eHealth; Health literacy; Literacy; Psychological intervention; Health information; Medicine; Population; Gerontology; Psychology; Nursing; Health care; Environmental health; Political science","authors":[{"name":"Sarah Richtering","is_ca":false},{"name":"Karice Hyun","is_ca":false},{"name":"Lis Neubeck","is_ca":false},{"name":"Genevieve Coorey","is_ca":false},{"name":"John Chalmers","is_ca":false},{"name":"Tim Usherwood","is_ca":false},{"name":"David Peiris","is_ca":false},{"name":"Clara K Chow","is_ca":false},{"name":"Julie Redfern","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04615659544235364,"gpt":0.4264053651886052,"spread":0.3802487697462516,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006575549,0.0001937005,0.0002543178,0.0008209148,0.0005472223,0.0006896227,0.000289805,0.0005866921,0.001732238],"category_scores_gemma":[0.003441965,0.000185899,0.0003902825,0.00087073,0.0003902988,0.0005427224,0.0008539993,0.000862859,0.0002253095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002422476,"about_ca_system_score_gemma":0.0003784019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005934849,"about_ca_topic_score_gemma":0.006252315,"domain_scores_codex":[0.9996198,0.0001162003,0.00004599572,0.00006204471,0.00006727245,0.00008850364],"domain_scores_gemma":[0.9987361,0.0003361043,0.0004738361,0.00004491136,0.0001273809,0.0002816152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003313734,0.0000569716,0.9991338,0.000004462037,0.00001149472,0.0000324885,0.00009059302,0.00001155192,0.00003189423,0.000008492463,0.00004043646,0.0005446868],"study_design_scores_gemma":[0.000004451256,0.0000911322,0.9991292,0.000006293413,0.00001200403,0.0001276567,0.0003408404,0.0001875215,0.00001849095,0.00002619478,0.00005407866,0.000002176306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994534,0.00008250078,0.0000399146,0.00006416313,0.000002059943,0.000008627644,0.000092653,0.00000154147,0.0002551711],"genre_scores_gemma":[0.9997751,0.00003314521,0.00003338782,0.00002171859,0.000004920355,0.000009707072,0.00008067975,5.256995e-7,0.00004090144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005934849,"threshold_uncertainty_score":0.01180059,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2970901478","doi":"10.2196/15038","title":"Using Patient Portals to Improve Patient Outcomes: Systematic Review","year":2019,"lang":"en","type":"review","venue":"JMIR Human Factors","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":190,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; Johns Hopkins University","keywords":"Patient portal; Medicine; Computer science; Health care; Political science","authors":[{"name":"Hae‐Ra Han","is_ca":false},{"name":"Kelly T. Gleason","is_ca":false},{"name":"Chun‐An Sun","is_ca":false},{"name":"Hailey Miller","is_ca":false},{"name":"Soo Jin Kang","is_ca":false},{"name":"Sotera Chow","is_ca":false},{"name":"Rachel Anderson","is_ca":false},{"name":"Paul Nagy","is_ca":false},{"name":"Tom Bauer","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2731820507973249,"gpt":0.5497981694661948,"spread":0.2766161186688699,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009796926,0.001064753,0.005587996,0.006439652,0.0005471592,0.002221814,0.001650628,0.00157554,0.006030395],"category_scores_gemma":[0.04870217,0.0006747202,0.005401128,0.009477629,0.0007056594,0.002378304,0.001356061,0.001199669,0.0003175884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002735982,"about_ca_system_score_gemma":0.01044766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004565444,"about_ca_topic_score_gemma":0.01273833,"domain_scores_codex":[0.9910909,0.003876921,0.002716274,0.000504386,0.001598848,0.0002126064],"domain_scores_gemma":[0.9617688,0.02847858,0.006359729,0.0004781977,0.002506394,0.000408295],"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":[0.0002736168,0.00004397447,0.0009824935,0.9472263,0.007049893,0.00004988505,0.000195222,0.00007036005,0.00005914111,0.0001455841,0.001772819,0.04213066],"study_design_scores_gemma":[0.0006349747,0.0003586557,0.005052536,0.9225916,0.05453207,0.0001944408,0.0003246243,0.00009920311,0.0001817715,0.0002963429,0.01569975,0.00003413123],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002235533,0.9947748,0.0002608805,0.0004186081,0.0001302117,0.0008602377,0.0007028803,0.00002600658,0.0005907857],"genre_scores_gemma":[0.02990347,0.9661919,0.001111574,0.0007937727,0.00010385,0.00140945,0.0003381945,0.000008328279,0.0001394366],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009796926,"threshold_uncertainty_score":0.05181175,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1938214635","doi":"10.2196/humanfactors.3696","title":"Enhancing the Effectiveness of Consumer-Focused Health Information Technology Systems Through eHealth Literacy: A Framework for Understanding Users' Needs","year":2015,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":187,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Strategic Research Council; National Health and Medical Research Council; Medical Research Council","keywords":"eHealth; Health literacy; Literacy; Knowledge management; Computer science; Process management; Business; Psychology; Health care; Political science; Pedagogy","authors":[{"name":"Lars Kayser","is_ca":false},{"name":"André Kushniruk","is_ca":true},{"name":"Richard H. Osborne","is_ca":false},{"name":"Ole Nørgaard","is_ca":false},{"name":"Paul Turner","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1229967640991817,"gpt":0.4558977890371017,"spread":0.33290102493792,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02927084,0.001253456,0.0006713811,0.007427476,0.003260885,0.009144719,0.001974185,0.00358503,0.002456779],"category_scores_gemma":[0.04645562,0.0008310573,0.001171562,0.002437846,0.01799078,0.01603259,0.008326265,0.002543914,0.0002683158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01036995,"about_ca_system_score_gemma":0.009819145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006876547,"about_ca_topic_score_gemma":0.004682783,"domain_scores_codex":[0.9676519,0.0258738,0.001415871,0.001212376,0.002656217,0.001189849],"domain_scores_gemma":[0.9474744,0.04243135,0.003320792,0.001377056,0.004059035,0.00133737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001523146,0.0005976807,0.02349347,0.002584487,0.0001163676,0.0005238106,0.3161272,0.003102629,0.003142577,0.5446242,0.00159061,0.1039447],"study_design_scores_gemma":[0.0002402746,0.001030386,0.03033054,0.007560667,0.00045445,0.0009078041,0.2963138,0.04780897,0.007147985,0.5356393,0.07227883,0.0002870532],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4048817,0.004456987,0.3493741,0.03405155,0.00008594427,0.002566398,0.0002110964,0.0003257209,0.2040464],"genre_scores_gemma":[0.9106346,0.0007306474,0.08590964,0.000364365,0.0000101977,0.001273489,0.00003627446,0.00001992911,0.001020804],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02927084,"threshold_uncertainty_score":0.1548008,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2801003166","doi":"10.2196/humanfactors.9328","title":"The Impact of Visualization Dashboards on Quality of Care and Clinician Satisfaction: Integrative Literature Review","year":2018,"lang":"en","type":"review","venue":"JMIR Human Factors","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":172,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Psychological intervention; Health care; Visualization; Dashboard; Inclusion (mineral); Usability; Medicine; Nursing; Psychology; Computer science; Data science; Data mining","authors":[{"name":"Saif Khairat","is_ca":false},{"name":"Aniesha Dukkipati","is_ca":false},{"name":"Heather Alico Lauria","is_ca":false},{"name":"Thomas Bice","is_ca":false},{"name":"Debbie Travers","is_ca":false},{"name":"Shannon S. Carson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0884569634965674,"gpt":0.5014558538734648,"spread":0.4129988903768974,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008105254,0.001182566,0.005013868,0.01539881,0.0008704288,0.004288395,0.001849126,0.001777479,0.005553719],"category_scores_gemma":[0.04405418,0.0009710305,0.005723022,0.01497579,0.001058679,0.003245175,0.001909846,0.001509855,0.0004380063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003836146,"about_ca_system_score_gemma":0.01265639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00712126,"about_ca_topic_score_gemma":0.01593732,"domain_scores_codex":[0.9945791,0.001919929,0.001743177,0.0004080572,0.00117301,0.0001766465],"domain_scores_gemma":[0.9318702,0.05630904,0.006083459,0.0005855996,0.004716394,0.0004351636],"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":[0.0001861317,0.0001555371,0.001966061,0.7576761,0.004999968,0.0001152701,0.001188209,0.0001956014,0.0001251975,0.0008964679,0.002877733,0.2296177],"study_design_scores_gemma":[0.0001092433,0.0003017378,0.009900668,0.9402926,0.02264318,0.0004671388,0.001623677,0.0001756582,0.0001624017,0.0007460708,0.02350565,0.0000719286],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002060684,0.9962634,0.0001562623,0.0004270146,0.00009115437,0.0001711067,0.0001649334,0.000008523111,0.0006568566],"genre_scores_gemma":[0.0130729,0.9853191,0.0006607656,0.0003773063,0.00008423404,0.0002976084,0.0001103652,0.000006203016,0.00007150492],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01539881,"threshold_uncertainty_score":0.04286516,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2537935735","doi":"10.2196/humanfactors.5919","title":"Integrating Patient-Generated Health Data Into Clinical Care Settings or Clinical Decision-Making: Lessons Learned From Project HealthDesign","year":2016,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":164,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Health care; Data collection; Relevance (law); Test (biology); Health professionals; Medicine; Psychology; Medical education; Nursing","authors":[{"name":"Deborah J. Cohen","is_ca":false},{"name":"Sara Keller","is_ca":false},{"name":"Gillian R. Hayes","is_ca":false},{"name":"David A Dorr","is_ca":false},{"name":"Joan S. Ash","is_ca":false},{"name":"Dean F. Sittig","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6814789969776128,"gpt":0.619017717978901,"spread":0.06246127899871179,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1762486,0.00167925,0.001109076,0.002085272,0.003523728,0.01058388,0.00558,0.003172422,0.003135603],"category_scores_gemma":[0.1561255,0.001259042,0.001423941,0.002072031,0.007067067,0.009323045,0.01656806,0.004588718,0.0007059129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006530625,"about_ca_system_score_gemma":0.0194332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004208864,"about_ca_topic_score_gemma":0.0059496,"domain_scores_codex":[0.76671,0.2125115,0.005241033,0.003604475,0.006725552,0.005207388],"domain_scores_gemma":[0.7593135,0.1899905,0.004028424,0.01689337,0.01598872,0.01378542],"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":[0.001026091,0.005267805,0.02945993,0.003478713,0.0001516708,0.002134603,0.3909853,0.004487392,0.003578087,0.01522446,0.02479917,0.5194068],"study_design_scores_gemma":[0.002022107,0.00993992,0.02382308,0.009802354,0.0003485557,0.003663651,0.4574397,0.01512326,0.01146036,0.05184194,0.4138444,0.0006906766],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5822619,0.004431896,0.2847346,0.07526573,0.001139956,0.008905013,0.000932161,0.002597458,0.0397312],"genre_scores_gemma":[0.5616013,0.002672912,0.4195929,0.003986527,0.0002867835,0.006260566,0.000835774,0.0007755135,0.003987702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1762486,"threshold_uncertainty_score":0.932103,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2801247545","doi":"10.2196/10308","title":"Translation, Cross-Cultural Adaptation, and Validation of the Malay Version of the System Usability Scale Questionnaire for the Assessment of Mobile Apps","year":2018,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Health Education and Validation","field":"Social Sciences","cited_by":151,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Universiti Sains Malaysia","keywords":"Usability; System usability scale; Malay; Computer science; Adaptation (eye); Mobile phone; Multimedia; Scale (ratio); Human–computer interaction; World Wide Web; Heuristic evaluation; Psychology; Linguistics","authors":[{"name":"Muhamad Fadhil Mohamad Marzuki","is_ca":false},{"name":"Nor Azwany Yaacob","is_ca":false},{"name":"Najib Majdi Yaacob","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08781522709154266,"gpt":0.4507031870979212,"spread":0.3628879600063785,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01416756,0.0007911828,0.000645657,0.001596437,0.0009138689,0.0008018948,0.0005862181,0.0003513768,0.003269007],"category_scores_gemma":[0.02859647,0.0004894275,0.001160944,0.001128228,0.0008673118,0.0009234291,0.001315046,0.001170063,0.001535947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008491393,"about_ca_system_score_gemma":0.003485544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002331501,"about_ca_topic_score_gemma":0.004561907,"domain_scores_codex":[0.9916324,0.003661439,0.001692046,0.0004047698,0.002258605,0.0003507567],"domain_scores_gemma":[0.9799738,0.005961848,0.001784443,0.001285259,0.01051529,0.0004794293],"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":[0.001793447,0.003645399,0.2023923,0.007405136,0.0004524532,0.002292616,0.07846309,0.00154795,0.06091965,0.003172161,0.02116285,0.6167529],"study_design_scores_gemma":[0.0005734471,0.005769345,0.8789932,0.002633589,0.0003945611,0.003952292,0.01883087,0.004681826,0.01813254,0.00154659,0.06409626,0.0003955172],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9074562,0.001444133,0.0441618,0.001069687,0.0005115505,0.02718643,0.002283458,0.0003517053,0.01553501],"genre_scores_gemma":[0.782218,0.002522362,0.1560925,0.0006600691,0.00009536114,0.04836438,0.002980667,0.0002065913,0.006860017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01416756,"threshold_uncertainty_score":0.07492614,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3211237709","doi":"10.2196/33364","title":"Digitally Disconnected: Qualitative Study of Patient Perspectives on the Digital Divide and Potential Solutions","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":142,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"University of Chicago Medicine; Bucksbaum Institute for Clinical Excellence; University of Chicago","keywords":"Digital divide; Telemedicine; Socioeconomic status; Government (linguistics); Medicaid; Literacy; Health literacy; Health care; Public relations; Phone; Medical education; Medicine; Political science; Psychology; The Internet; Computer science; Population; Pedagogy; Environmental health; World Wide Web","authors":[{"name":"Maria Alcocer Alkureishi","is_ca":false},{"name":"Zi-Yi Choo","is_ca":false},{"name":"Ali Rahman","is_ca":false},{"name":"Jonah Benning-Shorb","is_ca":false},{"name":"G Lenti","is_ca":false},{"name":"Itzel Velázquez Sánchez","is_ca":false},{"name":"Mengqi Zhu","is_ca":false},{"name":"Sachin Shah","is_ca":false},{"name":"Wei Wei Lee","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05596922465504527,"gpt":0.3805482054103433,"spread":0.324578980755298,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01374771,0.0007488453,0.00107562,0.001550504,0.01134792,0.005123639,0.002006172,0.002966898,0.004360227],"category_scores_gemma":[0.02509407,0.0007679518,0.0006268941,0.001855062,0.009528132,0.006248042,0.007683404,0.005815015,0.000457797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005890287,"about_ca_system_score_gemma":0.006524947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005968768,"about_ca_topic_score_gemma":0.007935903,"domain_scores_codex":[0.9855992,0.01099437,0.0004647542,0.000728835,0.0007053179,0.001507495],"domain_scores_gemma":[0.9702373,0.02261483,0.002019764,0.0005872505,0.001703655,0.00283725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003481174,0.00004181084,0.001770987,0.00009367099,0.000003231009,0.0005920929,0.9940493,0.00002732877,0.0002730059,0.0006612563,0.0005461184,0.001906396],"study_design_scores_gemma":[0.000004800275,0.00004481855,0.000440024,0.00008788596,0.000002501299,0.0002087675,0.9947955,0.00005685757,0.00009810214,0.0001840178,0.004068024,0.000008732364],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842331,0.001081172,0.002215223,0.006497466,0.0001370617,0.0003441526,0.0003214747,0.00002637703,0.005144022],"genre_scores_gemma":[0.9932858,0.000936867,0.001031565,0.002484838,0.00004730913,0.0004821144,0.0001008173,0.00002559253,0.001604989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01374771,"threshold_uncertainty_score":0.07270569,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3094619502","doi":"10.2196/21161","title":"Spanish Version of the System Usability Scale for the Assessment of Electronic Tools: Development and Validation","year":2020,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":141,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Universidad Nacional Autónoma de México","keywords":"Usability; Cronbach's alpha; System usability scale; Computer science; Metric (unit); Content validity; Mobile phone; eHealth; Reliability (semiconductor); Face validity; Scale (ratio); Relevance (law); Psychology; Applied psychology; Psychometrics; Web usability; Human–computer interaction; Health care; Engineering; Clinical psychology","authors":[{"name":"Magdalena Sevilla-González","is_ca":false},{"name":"Lizbeth Moreno Loaeza","is_ca":false},{"name":"Laura Sofia Lazaro-Carrera","is_ca":false},{"name":"Brigette Bourguet-Ramirez","is_ca":false},{"name":"Anabel Vázquez Rodríguez","is_ca":false},{"name":"María Luisa Peralta‐Pedrero","is_ca":false},{"name":"Paloma Almeda‐Valdés","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08894247416618596,"gpt":0.4306477202511931,"spread":0.3417052460850072,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01591883,0.0006703211,0.0009397594,0.003150088,0.0006068945,0.001249415,0.0008014385,0.0005311152,0.005282669],"category_scores_gemma":[0.03372673,0.0003234424,0.001801052,0.002101566,0.0005917622,0.0009245124,0.001830791,0.001177558,0.001451075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660798,"about_ca_system_score_gemma":0.005283556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003543295,"about_ca_topic_score_gemma":0.005705014,"domain_scores_codex":[0.9888306,0.004417826,0.002186131,0.0004463241,0.003807111,0.0003119677],"domain_scores_gemma":[0.975573,0.006517165,0.002000006,0.0009088436,0.01435207,0.0006490172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00123816,0.001785422,0.2197128,0.004840574,0.000814262,0.0004655437,0.007862252,0.001795169,0.006366718,0.003089486,0.05759939,0.6944302],"study_design_scores_gemma":[0.001253725,0.002673081,0.8290029,0.003499891,0.0004988003,0.001747972,0.004310973,0.004338106,0.003012008,0.002556158,0.1468714,0.0002350621],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7621306,0.01055218,0.08790124,0.005164856,0.001672269,0.03141275,0.02163483,0.000989326,0.07854193],"genre_scores_gemma":[0.7235132,0.007011309,0.1889839,0.001739543,0.0003903568,0.04825287,0.01430371,0.0004119225,0.01539315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01591883,"threshold_uncertainty_score":0.08418787,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3035307628","doi":"10.2196/19713","title":"Patients’ Utilization and Perception of an Artificial Intelligence–Based Symptom Assessment and Advice Technology in a British Primary Care Waiting Room: Exploratory Pilot Study","year":2020,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":136,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Usability; Complaint; Population; Medicine; Health care; Perception; Digital health; Psychology; Family medicine; Computer science","authors":[{"name":"Stephen Miller","is_ca":false},{"name":"Stephen Gilbert","is_ca":false},{"name":"Vishaal Virani","is_ca":false},{"name":"Paul Wicks","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2127836779092129,"gpt":0.421907427647759,"spread":0.2091237497385461,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003119697,0.0002513689,0.000621559,0.0006937889,0.002089855,0.001931499,0.0004810468,0.0008392099,0.0033306],"category_scores_gemma":[0.01039062,0.0005620471,0.0005181891,0.0006303119,0.001172833,0.0008646737,0.001225236,0.001237703,0.0005024509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002006998,"about_ca_system_score_gemma":0.001997769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02822782,"about_ca_topic_score_gemma":0.04817683,"domain_scores_codex":[0.9977738,0.001064641,0.0002044963,0.0002034783,0.0003951137,0.0003584289],"domain_scores_gemma":[0.9914646,0.003857241,0.001502846,0.0002483567,0.001251509,0.001675506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00248847,0.007668742,0.6869666,0.0009018368,0.0001353391,0.003006235,0.2645709,0.0001518041,0.003762302,0.0001213367,0.00183275,0.0283937],"study_design_scores_gemma":[0.0002523662,0.0165977,0.767318,0.0001960712,0.0001126487,0.001193721,0.2104174,0.0006401708,0.0003424454,0.00004932392,0.002766742,0.000113431],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995098,0.00003986276,0.00002868582,0.00006596326,0.00000290525,0.00005354976,0.00003539292,0.000001824524,0.0002620053],"genre_scores_gemma":[0.9990836,0.0001142163,0.0001927408,0.0001937666,0.000007113671,0.00009054711,0.00003813523,0.00000253232,0.0002772158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02822782,"threshold_uncertainty_score":0.05612701,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2763828059","doi":"10.2196/humanfactors.7709","title":"Lack of Adoption of a Mobile App to Support Patient Self-Management of Diabetes and Hypertension in a Federally Qualified Health Center: Interview Analysis of Staff and Patients in a Failed Randomized Trial","year":2017,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":134,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"mHealth; Self-management; Mobile apps; Randomized controlled trial; Health management system; Center (category theory); Business; Medicine; Nursing; Computer science; Alternative medicine; World Wide Web","authors":[{"name":"Kathleen M. Thies","is_ca":false},{"name":"Daren Anderson","is_ca":false},{"name":"Benjamin S. Cramer","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07515211865133212,"gpt":0.4276050008839522,"spread":0.3524528822326201,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1591762,0.0004677186,0.001722384,0.001362344,0.002173609,0.002710804,0.001409354,0.00225631,0.001943327],"category_scores_gemma":[0.2953219,0.0008401933,0.002665893,0.00169988,0.001995634,0.00227963,0.002013285,0.001536379,0.0002746845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003782344,"about_ca_system_score_gemma":0.00796892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006180409,"about_ca_topic_score_gemma":0.009448866,"domain_scores_codex":[0.7848703,0.1661397,0.02733936,0.005903195,0.0106265,0.005120957],"domain_scores_gemma":[0.6370857,0.2621907,0.06674477,0.01163449,0.0176132,0.004731187],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.02797701,0.005478298,0.8418974,0.003208462,0.003343695,0.0004768776,0.04247636,0.0004274903,0.001112396,0.0007392297,0.003354314,0.06950855],"study_design_scores_gemma":[0.007584382,0.0484512,0.8806618,0.003675446,0.003237062,0.0005465012,0.04201978,0.00473554,0.001447626,0.0007133782,0.006643812,0.0002833462],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99229,0.001273738,0.001273001,0.001061806,0.00007325804,0.002969153,0.0003401863,0.00001386652,0.0007050003],"genre_scores_gemma":[0.991691,0.0002564542,0.001865592,0.001183779,0.00005300121,0.004533717,0.0002259853,0.00001195064,0.0001786796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8408238,"threshold_uncertainty_score":0.841814,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4289539209","doi":"10.2196/35882","title":"The Development and Use of Chatbots in Public Health: Scoping Review","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":128,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Systematic review; Health care; Grey literature; Public health; Scope (computer science); Scopus; eHealth; MEDLINE; Evidence-based medicine; Software deployment; Medicine; Computer science; Psychology; Medical education; Knowledge management; Nursing; Political science","authors":[{"name":"Lee Wilson","is_ca":false},{"name":"Mariana Mărăşoiu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3038990209121102,"gpt":0.4737980149477461,"spread":0.1698989940356359,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04416748,0.002215692,0.007420561,0.02601905,0.002407967,0.007114733,0.004011112,0.005645679,0.007213588],"category_scores_gemma":[0.1952558,0.002173389,0.008513223,0.02610855,0.002911177,0.007151925,0.005288892,0.003085739,0.001155713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009114029,"about_ca_system_score_gemma":0.04763778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01600322,"about_ca_topic_score_gemma":0.02650501,"domain_scores_codex":[0.9601293,0.01692202,0.01399198,0.002000884,0.006069314,0.0008865895],"domain_scores_gemma":[0.7591448,0.1986831,0.01789556,0.003698541,0.0194237,0.001154356],"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":[0.0001073932,0.00004782853,0.0004006693,0.8879973,0.001349031,0.00009378618,0.0008657788,0.0001703257,0.0001200817,0.001031874,0.002385159,0.1054307],"study_design_scores_gemma":[0.00002674592,0.00006303321,0.0005622374,0.9762236,0.003777663,0.00009826029,0.0004706205,0.0000578252,0.0001167904,0.0003236715,0.01826073,0.00001877381],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006275468,0.9949535,0.0006962782,0.0006335956,0.0003106756,0.001153948,0.0002908139,0.00002196509,0.001311696],"genre_scores_gemma":[0.006436531,0.9889521,0.001771716,0.0005282036,0.0001145319,0.001797505,0.0002301003,0.00001551154,0.000153851],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04416748,"threshold_uncertainty_score":0.2335827,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2983714615","doi":"10.2196/16762","title":"A Chatbot-Based Coaching Intervention for Adolescents to Promote Life Skills: Pilot Study","year":2019,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":114,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Coaching; Formative assessment; Psychology; Session (web analytics); Psychological intervention; Chatbot; Likert scale; Applied psychology; Mental health; Intervention (counseling); Medical education; Life skills; Socioemotional selectivity theory; Developmental psychology; Medicine; Pedagogy; Computer science; Psychiatry; Psychotherapist; World Wide Web","authors":[{"name":"Silvia Gabrielli","is_ca":false},{"name":"Silvia Rizzi","is_ca":false},{"name":"Sara Carbone","is_ca":false},{"name":"Valeria Donisi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06479109454697515,"gpt":0.4196380831660907,"spread":0.3548469886191156,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00199088,0.000667042,0.0007386038,0.0006642264,0.0009427152,0.0005289442,0.000734596,0.0008434975,0.00234848],"category_scores_gemma":[0.002774349,0.0003321018,0.0007398521,0.0002915735,0.0004853406,0.0004506357,0.0007967906,0.0009431972,0.0002555465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004515964,"about_ca_system_score_gemma":0.001714492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001613875,"about_ca_topic_score_gemma":0.00330695,"domain_scores_codex":[0.9991263,0.0004232384,0.00006424186,0.000108119,0.00009981603,0.0001784229],"domain_scores_gemma":[0.9983698,0.0005920457,0.0001320918,0.0001221273,0.0002024798,0.0005815488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.01873979,0.4580482,0.05287326,0.005568763,0.0004376653,0.003382372,0.0278846,0.001551259,0.03089761,0.000709829,0.00249874,0.397408],"study_design_scores_gemma":[0.03297435,0.5786434,0.3285119,0.001165484,0.000854901,0.001597752,0.02201054,0.00560118,0.01441143,0.0005518239,0.01355789,0.0001192064],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956317,0.00007138226,0.000475086,0.0000460157,0.00002711526,0.003172258,0.00006117691,0.00003094629,0.0004845407],"genre_scores_gemma":[0.9807329,0.000381533,0.007612208,0.0001419818,0.00005015086,0.01001786,0.0001657126,0.00001355556,0.0008839698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00234848,"threshold_uncertainty_score":0.01052892,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3215375111","doi":"10.2196/30766","title":"User Experience, Engagement, and Popularity in Mental Health Apps: Secondary Analysis of App Analytics and Expert App Reviews","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":112,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Popularity; Mental health; Download; Psychology; User engagement; App store; Applied psychology; Internet privacy; Analytics; World Wide Web; Computer science; Social psychology; Data science; Psychiatry","authors":[{"name":"Benjamin Kaveladze","is_ca":false},{"name":"Akash R. Wasil","is_ca":false},{"name":"John Bunyi","is_ca":false},{"name":"Veronica Ramirez","is_ca":false},{"name":"Stephen M. Schueller","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1115846512997809,"gpt":0.4546568491065761,"spread":0.3430721978067952,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01087986,0.0003963207,0.001393597,0.004439692,0.001207728,0.002180364,0.0007389002,0.0008211465,0.004025953],"category_scores_gemma":[0.05970913,0.0005166695,0.002035894,0.003248484,0.001139884,0.002379296,0.002736225,0.00170231,0.001340838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009796745,"about_ca_system_score_gemma":0.001735998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002989527,"about_ca_topic_score_gemma":0.004331041,"domain_scores_codex":[0.9921144,0.002748475,0.001467137,0.001029619,0.002009871,0.0006305116],"domain_scores_gemma":[0.9215711,0.04210111,0.01740568,0.004221922,0.01257734,0.002123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001740163,0.001804681,0.8862571,0.003210238,0.0007533765,0.0003690653,0.04479117,0.00029757,0.00146345,0.0004519602,0.005082068,0.05377913],"study_design_scores_gemma":[0.00008003514,0.0008407384,0.9862177,0.0003360698,0.0001809602,0.0001757645,0.007550642,0.0004298121,0.0003544508,0.0001675484,0.0036149,0.00005126109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896221,0.0003936696,0.0008086627,0.0001142839,0.00001867513,0.002098346,0.004780853,0.00003642929,0.002127087],"genre_scores_gemma":[0.9835752,0.0003825216,0.002087231,0.0002419882,0.00006404665,0.00828203,0.003805858,0.0000543644,0.001506803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01087986,"threshold_uncertainty_score":0.05753887,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2287943185","doi":"10.2196/humanfactors.4765","title":"University Students’ Views on the Perceived Benefits and Drawbacks of Seeking Help for Mental Health Problems on the Internet: A Qualitative Study","year":2016,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":112,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Young and Well Cooperative Research Centre; National Health and Medical Research Council; Medical Research Council; Australian Government","keywords":"Mental health; The Internet; Confidentiality; Psychology; Psychological intervention; Anonymity; Medical education; Qualitative research; Stigma (botany); Population; Help-seeking; Medicine; Psychiatry; World Wide Web; Sociology; Environmental health; Computer science","authors":[{"name":"Jade KY Chan","is_ca":false},{"name":"Louise M. Farrer","is_ca":false},{"name":"Amelia Gulliver","is_ca":false},{"name":"Kylie Bennett","is_ca":false},{"name":"Kathleen M Griffiths","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1340421560848479,"gpt":0.4519179689896155,"spread":0.3178758129047676,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01011195,0.0004105144,0.0006483235,0.00136381,0.004998199,0.002706232,0.0009735336,0.00116646,0.003079372],"category_scores_gemma":[0.01203098,0.0005638282,0.0005284285,0.001176317,0.003705536,0.002204104,0.003740289,0.001764831,0.0003110289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003082309,"about_ca_system_score_gemma":0.00293094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006169556,"about_ca_topic_score_gemma":0.01015933,"domain_scores_codex":[0.995662,0.002995391,0.0001709576,0.0001749041,0.0002837018,0.0007130629],"domain_scores_gemma":[0.9890512,0.00719378,0.0009437919,0.0002553823,0.0009458851,0.001609962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008468165,0.0002952077,0.02449926,0.0001701914,0.00001442192,0.0005633952,0.965103,0.00003621967,0.001003562,0.0003528043,0.000454087,0.007423181],"study_design_scores_gemma":[0.000009103781,0.0001835758,0.009013926,0.0001549284,0.00001151791,0.0001604565,0.9875699,0.00008514852,0.0003714362,0.00008405137,0.002336934,0.00001913328],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979855,0.000195525,0.0003257593,0.0004588467,0.000013807,0.00008326702,0.00005288021,0.000005251978,0.000879213],"genre_scores_gemma":[0.9979401,0.0003751321,0.0002825562,0.0004128263,0.000009878824,0.0001668617,0.00002474502,0.000005764603,0.0007820858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01011195,"threshold_uncertainty_score":0.0534777,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285745615","doi":"10.2196/35693","title":"The Challenges Toward Real-world Implementation of Digital Health Design Approaches: Narrative Review","year":2022,"lang":"en","type":"review","venue":"JMIR Human Factors","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":110,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"SFU Community Trust Endowment Fund; Simon Fraser University; AGE-WELL","keywords":"Digital health; mHealth; Health care; Usability; Agile software development; Stakeholder; Computer science; Medicine; Knowledge management; Management science; Engineering; Public relations; Human–computer interaction; Political science","authors":[{"name":"Anthony Duffy","is_ca":true},{"name":"Greg Christie","is_ca":false},{"name":"Sylvain Moreno","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5368829780830587,"gpt":0.5455476546570563,"spread":0.00866467657399761,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03086974,0.001080975,0.001623069,0.009756681,0.001617006,0.006312632,0.001845913,0.002139273,0.002647609],"category_scores_gemma":[0.1056488,0.0009434795,0.002533961,0.009146469,0.00236823,0.006608797,0.003398458,0.002404988,0.0004634084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006239505,"about_ca_system_score_gemma":0.02079073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004598299,"about_ca_topic_score_gemma":0.01192233,"domain_scores_codex":[0.9682085,0.01909903,0.007299289,0.001132915,0.003686024,0.0005742232],"domain_scores_gemma":[0.8840537,0.1001947,0.00719135,0.001588683,0.00642697,0.0005445651],"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":[0.0001668314,0.00005445746,0.001694941,0.6100436,0.001285625,0.001045075,0.0291302,0.0005408659,0.0005434589,0.02827866,0.01348422,0.3137321],"study_design_scores_gemma":[0.00003068998,0.000107015,0.001103068,0.75968,0.002000915,0.001076897,0.01580125,0.0001435195,0.0004157776,0.003096465,0.2164933,0.0000511121],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003256068,0.9829012,0.002550051,0.0052459,0.0004124976,0.0006015334,0.0002539856,0.00002021408,0.004758471],"genre_scores_gemma":[0.04182155,0.9455977,0.006974939,0.003266306,0.0001694387,0.001406434,0.0001877984,0.00001808755,0.0005577353],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03086974,"threshold_uncertainty_score":0.1632567,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2761341529","doi":"10.2196/humanfactors.7978","title":"Workarounds Emerging From Electronic Health Record System Usage: Consequences for Patient Safety, Effectiveness of Care, and Efficiency of Care","year":2017,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":109,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Workaround; Workflow; Patient safety; Scope (computer science); Health care; Medicine; Nursing; Process management; Business; Computer science; Database","authors":[{"name":"Vincent Blijleven","is_ca":false},{"name":"K. Koelemeijer","is_ca":false},{"name":"Marijntje Wetzels","is_ca":false},{"name":"Monique Jaspers","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03789002405398672,"gpt":0.4181768954894617,"spread":0.380286871435475,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02730882,0.0005370966,0.0003744769,0.002243615,0.002997934,0.004840501,0.0009152636,0.001456584,0.001263358],"category_scores_gemma":[0.08633522,0.0004916361,0.001011623,0.001658935,0.004418248,0.003251355,0.004152618,0.001640551,0.0002376317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003701753,"about_ca_system_score_gemma":0.00576613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002085232,"about_ca_topic_score_gemma":0.002110142,"domain_scores_codex":[0.9638538,0.02112642,0.003962232,0.001331729,0.007501752,0.002224092],"domain_scores_gemma":[0.8575015,0.08859652,0.03450126,0.005959589,0.01086021,0.002580855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007476024,0.0008714797,0.5487909,0.001978759,0.0003956142,0.0025342,0.1557271,0.002305606,0.008163027,0.009905648,0.003511226,0.2650688],"study_design_scores_gemma":[0.0001393508,0.001481972,0.642426,0.002898187,0.0003220611,0.004461423,0.2988884,0.004981873,0.008349905,0.01642013,0.01938622,0.0002444559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793856,0.001316321,0.01039701,0.003288004,0.00007420548,0.0001856623,0.00007558308,0.0001084123,0.005169018],"genre_scores_gemma":[0.9954516,0.0005324796,0.003415584,0.0003043709,0.0000221857,0.00005801313,0.00004299764,0.00001300408,0.0001597094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02730882,"threshold_uncertainty_score":0.1444246,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386172688","doi":"10.2196/50357","title":"Experience of Health Care Professionals Using Digital Tools in the Hospital: Qualitative Systematic Review","year":2023,"lang":"en","type":"review","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":102,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Universität St. Gallen","keywords":"Qualitative research; Health professionals; Nursing; Health care; Medicine; Psychology; Sociology; Political science","authors":[{"name":"Marie Wosny","is_ca":false},{"name":"Livia Maria Strasser","is_ca":false},{"name":"Janna Hastings","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4286608021967926,"gpt":0.6404031246129476,"spread":0.2117423224161549,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04585876,0.001003949,0.003942093,0.0121623,0.002488012,0.002727132,0.001935482,0.00172758,0.003462739],"category_scores_gemma":[0.08797482,0.001014187,0.003446191,0.01517981,0.002498596,0.00412067,0.004807767,0.001097,0.000264847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009954429,"about_ca_system_score_gemma":0.02907057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01097512,"about_ca_topic_score_gemma":0.02815164,"domain_scores_codex":[0.9596687,0.02377271,0.01029709,0.001634148,0.003205201,0.00142223],"domain_scores_gemma":[0.9048392,0.07563609,0.007899428,0.001626681,0.008914784,0.001083934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004278328,0.0001394047,0.01113903,0.6717761,0.002605827,0.002749601,0.208491,0.0003223353,0.001214676,0.002041049,0.003620917,0.09547219],"study_design_scores_gemma":[0.000260975,0.0005351112,0.01187116,0.6195539,0.006537894,0.001659371,0.3121262,0.0002092314,0.001146512,0.001694554,0.04423117,0.0001739933],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2252602,0.7188627,0.01001143,0.007050748,0.0005271709,0.02413351,0.007565723,0.00007176186,0.006516797],"genre_scores_gemma":[0.6139089,0.3214912,0.02020477,0.005578403,0.0001421636,0.03526392,0.001981292,0.00005600151,0.001373194],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04585876,"threshold_uncertainty_score":0.2425272,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3157986414","doi":"10.2196/28236","title":"Research Trends in Artificial Intelligence Applications in Human Factors Health Care: Mapping Review","year":2021,"lang":"en","type":"review","venue":"JMIR Human Factors","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":100,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Usability; Health care; Context (archaeology); Workflow; Computer science; Workload; Scopus; Data science; Artificial intelligence; Knowledge management; Human–computer interaction; MEDLINE","authors":[{"name":"Onur Asan","is_ca":false},{"name":"Avishek Choudhury","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6414586923962593,"gpt":0.621556292721875,"spread":0.01990239967438434,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008702014,0.001193038,0.00256865,0.01792625,0.0009691129,0.004381652,0.001669754,0.002704926,0.005979928],"category_scores_gemma":[0.02495945,0.000882022,0.00289854,0.02234589,0.001690554,0.004853031,0.001833311,0.002520023,0.001080016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003496974,"about_ca_system_score_gemma":0.01329891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007331293,"about_ca_topic_score_gemma":0.009474604,"domain_scores_codex":[0.9957652,0.001479844,0.001009717,0.0005299088,0.001000209,0.0002150686],"domain_scores_gemma":[0.9412267,0.04962793,0.002522842,0.0005787091,0.005512497,0.0005311853],"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":[0.00008048936,0.00007007717,0.001362329,0.2089625,0.0005354049,0.0001946785,0.001135875,0.0004007774,0.0002875137,0.00611314,0.01487334,0.7659839],"study_design_scores_gemma":[0.00005244606,0.000266324,0.008836799,0.4730583,0.003236563,0.001431014,0.002667011,0.0005860768,0.0003937819,0.009622457,0.4997223,0.0001270664],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001755364,0.9978926,0.0002602883,0.0008892188,0.0001948483,0.00001970098,0.00002780603,0.000007583348,0.0005324225],"genre_scores_gemma":[0.001737056,0.9971117,0.0004238801,0.0003850248,0.0001860772,0.00004234674,0.00003017842,0.000003330533,0.00008045782],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01792625,"threshold_uncertainty_score":0.04602116,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2343571725","doi":"10.2196/humanfactors.4537","title":"Usability Testing of a Complex Clinical Decision Support Tool in the Emergency Department: Lessons Learned","year":2015,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":98,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Agency for Healthcare Research and Quality","keywords":"Usability; Clinical decision support system; Workflow; Documentation; Decision support system; Emergency department; Health information technology; Health informatics; Test (biology); Medical emergency; Computer science; Medicine; Health care; Nursing; Human–computer interaction; Public health; Database; Data mining","authors":[{"name":"Anne Press","is_ca":false},{"name":"Lauren McCullagh","is_ca":false},{"name":"Sundas Khan","is_ca":false},{"name":"Andy Schachter","is_ca":false},{"name":"Salvatore Pardo","is_ca":false},{"name":"Thomas McGinn","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5794027548146631,"gpt":0.5980208998969563,"spread":0.0186181450822932,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07583771,0.001820654,0.001291982,0.001625674,0.001707264,0.003256807,0.003598951,0.002209851,0.001156222],"category_scores_gemma":[0.1154189,0.0008047394,0.001313244,0.001036814,0.002280618,0.004563667,0.002690512,0.002482343,0.00041704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003289258,"about_ca_system_score_gemma":0.005809614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004854224,"about_ca_topic_score_gemma":0.007732787,"domain_scores_codex":[0.9411324,0.04250776,0.003876037,0.002684691,0.007710972,0.002088174],"domain_scores_gemma":[0.8317469,0.11536,0.003005753,0.006881982,0.03836856,0.004636716],"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":[0.001249304,0.02840356,0.0884562,0.004182355,0.0004533477,0.002680359,0.07960432,0.005680501,0.01770206,0.001044719,0.009957855,0.7605854],"study_design_scores_gemma":[0.003936154,0.1564271,0.3783259,0.01162122,0.001387599,0.007730768,0.2127081,0.08396279,0.06708285,0.01153171,0.06347555,0.001810367],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9188489,0.001026048,0.06083584,0.005802088,0.0003285576,0.008263406,0.0001124132,0.0005673718,0.00421526],"genre_scores_gemma":[0.8105639,0.001296766,0.1796677,0.002093172,0.0002075912,0.004218039,0.0002262615,0.0001668222,0.001559892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07583771,"threshold_uncertainty_score":0.4010729,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3163487424","doi":"10.2196/27005","title":"Older Patients’ Competence, Preferences, and Attitudes Toward Digital Technology Use: Explorative Study","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Gentofte Hospital","keywords":"Competence (human resources); Psychology; Social psychology","authors":[{"name":"Rikke Terp","is_ca":false},{"name":"Lars Kayser","is_ca":false},{"name":"Tove Lindhardt","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05383111494302765,"gpt":0.3268977560298031,"spread":0.2730666410867754,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005982987,0.0005614533,0.0006363898,0.001346439,0.001834393,0.001391968,0.0004524911,0.0006529391,0.001504236],"category_scores_gemma":[0.008433923,0.000519569,0.0008490515,0.0008898871,0.001573034,0.001235283,0.002545645,0.001174414,0.000272152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068662,"about_ca_system_score_gemma":0.001951607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002607093,"about_ca_topic_score_gemma":0.004458252,"domain_scores_codex":[0.9976799,0.001322175,0.0001879429,0.0001675663,0.00020862,0.0004339145],"domain_scores_gemma":[0.9959538,0.002132552,0.0007727401,0.0002121902,0.0004794676,0.0004492461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004501012,0.003535473,0.4428343,0.0004418907,0.00009902868,0.001377415,0.5311914,0.0001205138,0.002356003,0.0002061498,0.0004402105,0.01694748],"study_design_scores_gemma":[0.0001019068,0.004470734,0.3366057,0.0002396928,0.00009400608,0.0009595557,0.6529272,0.0003017063,0.0009002967,0.0002291188,0.003101201,0.0000689297],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994764,0.00004546201,0.00008991035,0.00003223407,0.000001918552,0.0001165859,0.00003797728,8.773189e-7,0.0001986794],"genre_scores_gemma":[0.9985908,0.0001646259,0.0003391358,0.000111201,0.00000556635,0.0004742525,0.00006542213,0.000001362185,0.0002476689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005982987,"threshold_uncertainty_score":0.03164142,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391184004","doi":"10.2196/53559","title":"The Temperature Feature of ChatGPT: Modifying Creativity for Clinical Research","year":2024,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":95,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"National Institute on Aging; National Institutes of Health; Vlaamse regering; Fonds Wetenschappelijk Onderzoek","keywords":"Computer science; Creativity; Feature (linguistics); Consistency (knowledge bases); Preprint; Variable (mathematics); Variety (cybernetics); Data science; Randomness; Interface (matter); Human–computer interaction; Artificial intelligence; Psychology; World Wide Web; Social psychology","authors":[{"name":"Joshua Davis","is_ca":false},{"name":"Liesbet Van Bulck","is_ca":false},{"name":"Brigitte N. Durieux","is_ca":false},{"name":"Charlotta Lindvall","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5350060726704904,"gpt":0.6339170265971087,"spread":0.0989109539266183,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03472659,0.001589317,0.0008076921,0.001851302,0.001108388,0.004133833,0.002970205,0.002541207,0.02088014],"category_scores_gemma":[0.1746215,0.0008858909,0.001500493,0.0009520353,0.002314868,0.006918825,0.006243409,0.002984921,0.007210142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004515,"about_ca_system_score_gemma":0.001407456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004139282,"about_ca_topic_score_gemma":0.0007228422,"domain_scores_codex":[0.9723217,0.02125359,0.001793749,0.001771795,0.002226364,0.0006327901],"domain_scores_gemma":[0.7418269,0.2174512,0.007761884,0.02290686,0.005733913,0.004319257],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005955114,0.001411144,0.01696655,0.006292982,0.0004875779,0.001267272,0.02499344,0.006540883,0.04482453,0.02596721,0.09695332,0.76834],"study_design_scores_gemma":[0.004886499,0.007270188,0.038251,0.005638402,0.001474964,0.005774376,0.007979552,0.1362301,0.07826634,0.1796984,0.5322549,0.002275315],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06460381,0.001344337,0.817768,0.009836006,0.002290747,0.003195846,0.002443207,0.06928074,0.02923728],"genre_scores_gemma":[0.392613,0.0007794687,0.5668591,0.00506922,0.001505777,0.008407283,0.001568041,0.01013896,0.01305923],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9652734,"threshold_uncertainty_score":0.183654,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2574256239","doi":"10.2196/humanfactors.6523","title":"Perceived and Performed eHealth Literacy: Survey and Simulated Performance Test","year":2017,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":93,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"eHealth; Health literacy; Literacy; Psychology; Conceptualization; The Internet; Medical education; Medicine; Computer science; Health care; World Wide Web; Pedagogy; Political science; Artificial intelligence","authors":[{"name":"Efrat Neter","is_ca":false},{"name":"Esther Brainin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09797774413986071,"gpt":0.4806638054336244,"spread":0.3826860612937636,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001461723,0.0002982563,0.000349073,0.0009287706,0.0002763425,0.0005311465,0.000260603,0.0005702062,0.002823515],"category_scores_gemma":[0.003708865,0.0002300606,0.0005209069,0.000644183,0.0002743346,0.0005858878,0.0005249918,0.0006858423,0.001078894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003087614,"about_ca_system_score_gemma":0.0002827481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00161613,"about_ca_topic_score_gemma":0.00180452,"domain_scores_codex":[0.9992575,0.0001699298,0.0001553136,0.00008685615,0.0002103263,0.0001199765],"domain_scores_gemma":[0.9969927,0.0006600083,0.0009473023,0.0001266954,0.000675382,0.0005977575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000119786,0.001048297,0.9941429,0.00002100623,0.00002931573,0.00006098804,0.000507258,0.0001093396,0.0003356486,0.00001660454,0.0002609175,0.00334797],"study_design_scores_gemma":[0.00001951529,0.001326188,0.9971463,0.000006904918,0.00001180026,0.0001477921,0.0004407525,0.0004187629,0.0001960775,0.00001393555,0.0002647515,0.00000725443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984677,0.00002112439,0.00009963169,0.00002777675,0.000002522474,0.000101604,0.0004528013,0.000006729242,0.0008201379],"genre_scores_gemma":[0.9979683,0.00004371665,0.0003256912,0.0000531127,0.000008250497,0.0001506788,0.000693044,0.00000269844,0.0007545605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002823515,"threshold_uncertainty_score":0.009445548,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390943095","doi":"10.2196/47031","title":"Trust in and Acceptance of Artificial Intelligence Applications in Medicine: Mixed Methods Study","year":2024,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":92,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"European Commission; Fraunhofer-Institut für Zelltherapie und Immunologie; University College London","keywords":"Likert scale; Relevance (law); Health technology; Accountability; Scale (ratio); Stakeholder; Health care; Knowledge management; Psychology; Medical education; Computer science; Medicine; Public relations","authors":[{"name":"Daria Shevtsova","is_ca":false},{"name":"Anam Ahmed","is_ca":false},{"name":"Iris W A Boot","is_ca":false},{"name":"Carmen Sanges","is_ca":false},{"name":"Michael Hudecek","is_ca":false},{"name":"John J. L. Jacobs","is_ca":false},{"name":"Simon Hort","is_ca":false},{"name":"Hubertus JM Vrijhoef","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2466579618029961,"gpt":0.5526685501173785,"spread":0.3060105883143824,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07725608,0.0006656817,0.002685182,0.003776194,0.001644089,0.003464238,0.001537046,0.00157474,0.003830807],"category_scores_gemma":[0.1243856,0.0009569606,0.003938047,0.004011781,0.001507371,0.003096585,0.002761557,0.001278431,0.0005271402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002731962,"about_ca_system_score_gemma":0.004121257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001367068,"about_ca_topic_score_gemma":0.001760965,"domain_scores_codex":[0.9263658,0.04988047,0.01112744,0.003365614,0.007456314,0.001804406],"domain_scores_gemma":[0.7650129,0.1795194,0.03147112,0.007667474,0.01351117,0.002817938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.006617564,0.005283724,0.7721084,0.02682777,0.008340558,0.001266348,0.06370194,0.0005700273,0.001077273,0.004220375,0.002487188,0.1074989],"study_design_scores_gemma":[0.002485122,0.03009124,0.8054699,0.02102966,0.01064782,0.00291592,0.09072424,0.007252574,0.003344568,0.00546065,0.02004929,0.0005291061],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97074,0.01187125,0.007302934,0.0008091053,0.0001065133,0.005843074,0.0008668847,0.00002780532,0.002432427],"genre_scores_gemma":[0.9799376,0.003140657,0.006215039,0.0008254722,0.0000972548,0.008832096,0.0003537941,0.00001720307,0.0005807012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07725608,"threshold_uncertainty_score":0.4085741,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2232974535","doi":"10.2196/humanfactors.5098","title":"Changes in Default Alarm Settings and Standard In-Service are Insufficient to Improve Alarm Fatigue in an Intensive Care Unit: A Pilot Project","year":2016,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":91,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"ALARM; Service (business); Intensive care unit; Unit (ring theory); Medical emergency; Business; Psychology; Medicine; Engineering; Intensive care medicine; Marketing","authors":[{"name":"Azizeh Sowan","is_ca":false},{"name":"Tiffany Michelle Gomez","is_ca":false},{"name":"Albert Tarriela","is_ca":false},{"name":"Charles C. Reed","is_ca":false},{"name":"Bruce Paper","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09702959287578107,"gpt":0.3880326299996347,"spread":0.2910030371238537,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01548983,0.001079081,0.0006470695,0.0008096544,0.001930779,0.001201361,0.002475021,0.001397294,0.002036026],"category_scores_gemma":[0.01930595,0.000923874,0.000946971,0.0005967802,0.001583039,0.001347782,0.002742392,0.002025487,0.0002769589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003045878,"about_ca_system_score_gemma":0.01004877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006967688,"about_ca_topic_score_gemma":0.007610972,"domain_scores_codex":[0.9892141,0.006215541,0.0007055654,0.0009009829,0.00117436,0.001789422],"domain_scores_gemma":[0.9787011,0.005789151,0.003045674,0.002588954,0.003120331,0.006754737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.02204021,0.4677251,0.1638572,0.001511129,0.0004770954,0.000759122,0.01751271,0.00441735,0.01850204,0.0003210327,0.002418288,0.3004588],"study_design_scores_gemma":[0.0210888,0.4656605,0.4812543,0.0002360501,0.0004709412,0.0003672672,0.009544562,0.004593816,0.01313396,0.0002327667,0.003283669,0.0001333622],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997277,0.00001952989,0.0003716801,0.0001150125,0.00000886727,0.001887445,0.00004787377,0.00003458633,0.0002379677],"genre_scores_gemma":[0.9846566,0.0001000353,0.009813978,0.0003036515,0.00002971773,0.004485223,0.0001745438,0.00001369395,0.0004225339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01548983,"threshold_uncertainty_score":0.08191901,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2762909449","doi":"10.2196/humanfactors.6455","title":"Defining Information Quality Into Health Websites: A Conceptual Framework of Health Website Information Quality for Educated Young Adults","year":2017,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":87,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Health information; Quality (philosophy); The Internet; Health care; Perception; Health education; HRHIS; Psychology; Public relations; Medicine; Nursing; World Wide Web; Political science; Public health; Computer science","authors":[{"name":"Donghua Tao","is_ca":false},{"name":"Cynthia LeRouge","is_ca":false},{"name":"Kay Smith","is_ca":false},{"name":"Gianluca De Leo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1019501895328074,"gpt":0.5284943648194298,"spread":0.4265441752866224,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01958839,0.0006984756,0.0004345744,0.01091939,0.003645639,0.01006654,0.001518441,0.002855866,0.001241645],"category_scores_gemma":[0.03211721,0.0005669229,0.001196075,0.006420225,0.01746295,0.01231201,0.008063562,0.002483923,0.0001233736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01142418,"about_ca_system_score_gemma":0.01059265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01388384,"about_ca_topic_score_gemma":0.008247304,"domain_scores_codex":[0.9837725,0.009953991,0.001561947,0.0009169718,0.002766641,0.001027931],"domain_scores_gemma":[0.9586003,0.02401977,0.007365736,0.001157889,0.005452613,0.003403685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005958017,0.0004611353,0.2071359,0.001220069,0.0001466218,0.0008079935,0.4372278,0.001229409,0.0009806259,0.2887093,0.001831722,0.06018993],"study_design_scores_gemma":[0.00009103868,0.0005653576,0.1551157,0.004959729,0.0002631221,0.0015583,0.5851982,0.01143259,0.0008880702,0.1642043,0.07550393,0.0002197189],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8353781,0.005274791,0.07546316,0.02570099,0.000127646,0.001645217,0.0003768724,0.0001176592,0.05591567],"genre_scores_gemma":[0.9787437,0.0008181246,0.01887481,0.0006042295,0.00002417545,0.0003522334,0.00009837819,0.000009052239,0.0004753376],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01958839,"threshold_uncertainty_score":0.1035946,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2924993635","doi":"10.2196/13009","title":"Patients’ Experiences of Using a Consumer mHealth App for Self-Management of Heart Failure: Mixed-Methods Study","year":2019,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":87,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Self-management; mHealth; Usability; Quality of life (healthcare); Rating scale; Medicine; Scale (ratio); Psychology; Applied psychology; Nursing; Computer science; Psychological intervention; Human–computer interaction; Developmental psychology; Artificial intelligence","authors":[{"name":"Leanna Woods","is_ca":false},{"name":"Jed Duff","is_ca":false},{"name":"Erin Roehrer","is_ca":false},{"name":"Kim Walker","is_ca":false},{"name":"Elizabeth Cummings","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06016798420712817,"gpt":0.4898731882710415,"spread":0.4297052040639134,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008108635,0.0005531122,0.0009403707,0.001099777,0.001828717,0.002581426,0.0005995264,0.001023064,0.003375509],"category_scores_gemma":[0.01234385,0.0005434531,0.001323402,0.0008360577,0.0007601445,0.001765479,0.001609573,0.0009495916,0.0005592112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009027636,"about_ca_system_score_gemma":0.00106147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00140889,"about_ca_topic_score_gemma":0.003108822,"domain_scores_codex":[0.9949909,0.002875242,0.0005389858,0.0004084043,0.0007004277,0.0004860765],"domain_scores_gemma":[0.9933869,0.003647164,0.001161205,0.0003180748,0.0009546836,0.0005319613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.005147889,0.01917444,0.6398602,0.002071035,0.001159673,0.001681496,0.2401007,0.0001320786,0.002526959,0.000425434,0.001802539,0.08591768],"study_design_scores_gemma":[0.001426224,0.0286987,0.5843226,0.001263623,0.001086707,0.004749002,0.3641989,0.00160775,0.001704452,0.000533841,0.009978669,0.0004294943],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983597,0.0003171298,0.0002323151,0.00009337096,0.00001341674,0.0003353138,0.0001116994,0.000003690672,0.000533199],"genre_scores_gemma":[0.9961935,0.0004680511,0.0008277808,0.0004406336,0.00003357976,0.00122012,0.0001512165,0.000007111028,0.0006578765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008108635,"threshold_uncertainty_score":0.04288304,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2783837066","doi":"10.2196/humanfactors.8017","title":"VA FitHeart, a Mobile App for Cardiac Rehabilitation: Usability Study","year":2018,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Office of Rural Health; U.S. Department of Veterans Affairs","keywords":"Usability; Rehabilitation; Heart failure; Mobile apps; Medicine; Physical therapy; World Wide Web; Computer science; Internal medicine; Human–computer interaction","authors":[{"name":"Alexis L. Beatty","is_ca":false},{"name":"Sara L. Magnusson","is_ca":false},{"name":"John C. Fortney","is_ca":false},{"name":"George Sayre","is_ca":false},{"name":"Mary A. Whooley","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03430932496515737,"gpt":0.4096958326247751,"spread":0.3753865076596177,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00755324,0.0008722437,0.0008761479,0.001268947,0.000644149,0.001166244,0.0006834444,0.0009519595,0.001421162],"category_scores_gemma":[0.02130638,0.000376653,0.001025348,0.0004818371,0.0003624026,0.001223934,0.0009560962,0.0005413657,0.0004153122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00040702,"about_ca_system_score_gemma":0.0007345123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001104827,"about_ca_topic_score_gemma":0.002494341,"domain_scores_codex":[0.9968534,0.001680279,0.0003669719,0.0003120758,0.0005591742,0.000228239],"domain_scores_gemma":[0.9900053,0.006482747,0.0004980913,0.0005524352,0.002008898,0.0004525734],"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":[0.01351426,0.03350475,0.2230787,0.0116488,0.001736415,0.003842825,0.03166569,0.002108085,0.0332303,0.0006673454,0.01292473,0.6320781],"study_design_scores_gemma":[0.004423322,0.1619022,0.7288057,0.00284244,0.003093845,0.009285724,0.01591145,0.01803342,0.01686675,0.0006675008,0.03753282,0.0006347967],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941485,0.0007129771,0.002107015,0.0001503502,0.00005097311,0.001477243,0.000298932,0.0001534434,0.0009006466],"genre_scores_gemma":[0.9772042,0.001214762,0.01498542,0.0005295367,0.00008094046,0.00332085,0.0008857735,0.0001174187,0.001661098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00755324,"threshold_uncertainty_score":0.03994578,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4210858667","doi":"10.2196/28639","title":"Human Factors and Technological Characteristics Influencing the Interaction of Medical Professionals With Artificial Intelligence–Enabled Clinical Decision Support Systems: Literature Review","year":2022,"lang":"en","type":"review","venue":"JMIR Human Factors","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Clinical decision support system; Knowledge management; Workload; eHealth; Quality (philosophy); Health care; Decision support system; Medical education; Computer science; Data science; Medicine; Artificial intelligence","authors":[{"name":"Michael Knop","is_ca":false},{"name":"Sebastian Weber","is_ca":false},{"name":"Marius Mueller","is_ca":false},{"name":"Björn Niehaves","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3224764608691961,"gpt":0.5418941549835318,"spread":0.2194176941143356,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009225957,0.001358641,0.003845542,0.01885291,0.0009344768,0.004266302,0.001851922,0.002441215,0.004258689],"category_scores_gemma":[0.05143823,0.001011689,0.005407138,0.01909109,0.001208565,0.00330214,0.001469621,0.001190746,0.0005582676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003621708,"about_ca_system_score_gemma":0.0128494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009878545,"about_ca_topic_score_gemma":0.01638573,"domain_scores_codex":[0.9921451,0.002704013,0.00276449,0.0006700709,0.001485924,0.0002303003],"domain_scores_gemma":[0.889557,0.09236153,0.009683996,0.0007793102,0.007091617,0.0005264545],"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":[0.0001965042,0.00009424669,0.004861185,0.7970835,0.005806736,0.0002702945,0.0008921672,0.0003086904,0.0001744011,0.001075541,0.002419672,0.186817],"study_design_scores_gemma":[0.00008413723,0.000315025,0.01939025,0.8865148,0.03883391,0.001011223,0.002173948,0.0002252097,0.0004213863,0.001172447,0.04975739,0.000100272],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001363928,0.9972754,0.0001641664,0.0003610567,0.00006394807,0.0000737114,0.0001314451,0.00000379422,0.0005625856],"genre_scores_gemma":[0.01361392,0.985011,0.0005743655,0.0003685866,0.00009323245,0.000134819,0.0001358927,0.000003794415,0.00006443326],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01885291,"threshold_uncertainty_score":0.04879206,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4280619105","doi":"10.2196/33960","title":"Factors Influencing Clinician Trust in Predictive Clinical Decision Support Systems for In-Hospital Deterioration: Qualitative Descriptive Study","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"University of Victoria","funders":"National Institute of Nursing Research","keywords":"Concordance; Clinical decision support system; Competence (human resources); Qualitative research; Descriptive statistics; Medicine; Perception; Psychology; Nursing; Family medicine; Medical education; Decision support system; Social psychology; Artificial intelligence; Computer science","authors":[{"name":"Jessica Schwartz","is_ca":false},{"name":"Maureen George","is_ca":false},{"name":"Sarah Collins Rossetti","is_ca":false},{"name":"Patricia C. Dykes","is_ca":false},{"name":"Simon Minshall","is_ca":true},{"name":"Eugene Lucas","is_ca":false},{"name":"Kenrick Cato","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2409548571622092,"gpt":0.4839155532113714,"spread":0.2429606960491622,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01562886,0.0003607394,0.0006779536,0.001437655,0.004170702,0.002905033,0.001092443,0.001069207,0.002424437],"category_scores_gemma":[0.04865074,0.0007856761,0.0003258453,0.001634446,0.00489435,0.003246068,0.002838004,0.001881751,0.0002321773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006427314,"about_ca_system_score_gemma":0.006164263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01114397,"about_ca_topic_score_gemma":0.01154421,"domain_scores_codex":[0.9880116,0.008438374,0.0006012952,0.0006347062,0.0009840117,0.001330021],"domain_scores_gemma":[0.9387718,0.05090799,0.004251077,0.0008667311,0.003360834,0.001841613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004371349,0.00006224837,0.01229701,0.000259849,0.000006031775,0.0007597469,0.9806701,0.00006011901,0.0005527612,0.0007644719,0.0002990579,0.004224838],"study_design_scores_gemma":[0.000005625651,0.00007430397,0.004870038,0.0002188066,0.000004354411,0.0003381169,0.9912883,0.0002041323,0.0002602837,0.0002472801,0.002473138,0.0000156161],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947304,0.0003777391,0.001911343,0.001118798,0.00001759309,0.0002305706,0.0001467971,0.000009084452,0.001457836],"genre_scores_gemma":[0.9973392,0.0004618801,0.0008567647,0.0003860137,0.000006792053,0.0002802516,0.00005206538,0.000009623405,0.0006073871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01562886,"threshold_uncertainty_score":0.0826543,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3164606851","doi":"10.2196/27706","title":"Computer-Aided Screening of Autism Spectrum Disorder: Eye-Tracking Study Using Data Visualization and Deep Learning","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":83,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Eye tracking; Computer science; Convolutional neural network; Gaze; Artificial intelligence; Visualization; Set (abstract data type); Autism spectrum disorder; Task (project management); Autism; Eye movement; Process (computing); Cognition; Computer vision; Machine learning; Psychology; Developmental psychology","authors":[{"name":"Federica Cilia","is_ca":false},{"name":"Romuald Carette","is_ca":false},{"name":"Mahmoud Elbattah","is_ca":false},{"name":"Gilles Dequen","is_ca":false},{"name":"Jean-Luc Guérin","is_ca":false},{"name":"Jérôme Bosche","is_ca":false},{"name":"Luc Vandromme","is_ca":false},{"name":"Barbara Le Driant","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1017929012573618,"gpt":0.401134376235491,"spread":0.2993414749781292,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006925328,0.0002712221,0.0002812677,0.0008304782,0.0001975765,0.0002259732,0.0002227587,0.0004936838,0.0007089836],"category_scores_gemma":[0.001923191,0.0001246696,0.0003343267,0.0003527943,0.0001759005,0.0002693384,0.0003630589,0.0002344606,0.0001470615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002226491,"about_ca_system_score_gemma":0.000213162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003731506,"about_ca_topic_score_gemma":0.004228033,"domain_scores_codex":[0.9997132,0.0001029225,0.00002249604,0.00008137017,0.0000475244,0.00003237525],"domain_scores_gemma":[0.9992304,0.0003822896,0.00008797545,0.00007890665,0.0001638355,0.00005658566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002745715,0.005284359,0.4821699,0.0007186615,0.0004429796,0.004694485,0.004514722,0.0093676,0.2181337,0.0008049444,0.001984801,0.2691382],"study_design_scores_gemma":[0.0001283025,0.004372541,0.8596918,0.00007441416,0.0001918452,0.004236186,0.001532026,0.1003163,0.02734441,0.0004975492,0.001537535,0.00007710033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967547,0.0001174901,0.002757257,0.00002454016,0.000004228938,0.00003648562,0.00006785481,0.00002626834,0.0002111395],"genre_scores_gemma":[0.9951213,0.00008750537,0.004375592,0.00001508193,0.000006422813,0.00002681031,0.0001158859,0.00000499296,0.000246386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003731506,"threshold_uncertainty_score":0.007419586,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2018460907","doi":"10.2196/humanfactors.4196","title":"Nurses' Perceptions and Practices Toward Clinical Alarms in a Transplant Cardiac Intensive Care Unit: Exploring Key Issues Leading to Alarm Fatigue","year":2015,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"ALARM; Patient safety; Medicine; Health care; Intensive care; Medical emergency; Perception; Nursing; Intensive care unit; Psychology; Intensive care medicine","authors":[{"name":"Azizeh Sowan","is_ca":false},{"name":"Albert Tarriela","is_ca":false},{"name":"Tiffany Michelle Gomez","is_ca":false},{"name":"Charles C. Reed","is_ca":false},{"name":"Kami Marie Rapp","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4852770650245968,"gpt":0.5245318744908506,"spread":0.03925480946625376,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005436121,0.000232433,0.0001919938,0.000562202,0.001393265,0.001479588,0.0005808807,0.0008014877,0.000942541],"category_scores_gemma":[0.0174097,0.000264803,0.0003417084,0.0003280468,0.001131797,0.001309245,0.001549634,0.00110126,0.0001344539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002023608,"about_ca_system_score_gemma":0.0029592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01165329,"about_ca_topic_score_gemma":0.01960081,"domain_scores_codex":[0.9972691,0.00132678,0.0002547655,0.0001559012,0.0005649956,0.0004283965],"domain_scores_gemma":[0.9858845,0.005335799,0.004875259,0.0002391128,0.00190023,0.001765095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001442904,0.000568771,0.7734018,0.0002025173,0.00003266464,0.0007082481,0.1990713,0.0001250624,0.001151603,0.0001199043,0.0009349325,0.02353882],"study_design_scores_gemma":[0.00001424231,0.0009783481,0.6370242,0.0002114357,0.00002600942,0.0004077063,0.3587631,0.0005006579,0.0003582941,0.0001062753,0.001578859,0.00003092329],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991046,0.00007264134,0.0001080155,0.0003562506,0.000006552608,0.00001358736,0.000006318726,0.000001563784,0.0003305345],"genre_scores_gemma":[0.9992338,0.0001880871,0.0002149133,0.0002037096,0.000007302421,0.00002609796,0.000009054616,0.000001057679,0.0001159963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01165329,"threshold_uncertainty_score":0.02874929,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W31789596","doi":"10.2196/15103","title":"Parliament and literature in late medieval England","year":2007,"lang":"en","type":"book","venue":"JMIR Human Factors","topic":"Medieval Literature and History","field":"Arts and Humanities","cited_by":78,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Parliament; Complaint; Mediation; History; Index (typography); Classics; Criticism; Law; Political science; Politics; Computer science","authors":[{"name":"Matthew Giancarlo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02375532335081369,"gpt":0.2442816608163061,"spread":0.2205263374654924,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001333782,0.0001428323,0.0003045541,0.002590755,0.005560549,0.004166618,0.0003914777,0.001028753,0.02249624],"category_scores_gemma":[0.003845604,0.0002569183,0.00009936313,0.003122367,0.004946087,0.002591354,0.002674565,0.001288154,0.002367393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004189383,"about_ca_system_score_gemma":0.002379853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02218495,"about_ca_topic_score_gemma":0.1009874,"domain_scores_codex":[0.9989386,0.0005022176,0.00007263919,0.0000682032,0.0002857557,0.0001325296],"domain_scores_gemma":[0.9970821,0.00177285,0.0003419505,0.00009427963,0.0002900948,0.0004186487],"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":[0.0002165342,0.000125782,0.008770023,0.002064983,0.00001691562,0.003536965,0.4603619,0.000104917,0.001214703,0.1355317,0.2059953,0.1820603],"study_design_scores_gemma":[0.000008941078,0.00004013363,0.02057653,0.0008058894,0.000004257403,0.00141695,0.05452791,0.0000171306,0.0001669826,0.001916092,0.9205062,0.00001288788],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2419492,0.2048501,0.0003131304,0.06716183,0.003885195,0.00003892003,0.0007126275,0.0001045832,0.4809844],"genre_scores_gemma":[0.7087079,0.05475391,0.0004730162,0.005040796,0.001331125,0.00003800254,0.0003600525,0.00007912059,0.229216],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02249624,"threshold_uncertainty_score":0.07525748,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4220854739","doi":"10.2196/35668","title":"Evaluating User Feedback for an Artificial Intelligence–Enabled, Cognitive Behavioral Therapy–Based Mental Health App (Wysa): Qualitative Thematic Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":76,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Helpfulness; Mental health; Usability; Thematic analysis; Applied psychology; Psychology; Computer science; Multimedia; World Wide Web; Medical education; Human–computer interaction; Qualitative research; Social psychology; Medicine; Psychotherapist","authors":[{"name":"Tanya Malik","is_ca":false},{"name":"Adrian Jacques H. Ambrose","is_ca":false},{"name":"Chaitali Sinha","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4465069531268119,"gpt":0.5996287741753948,"spread":0.153121821048583,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03921992,0.0008391428,0.000914128,0.004134341,0.004761588,0.00311971,0.001901293,0.001306592,0.00158851],"category_scores_gemma":[0.06591436,0.0004888789,0.0007695433,0.003741578,0.005599852,0.003093601,0.004880424,0.001590412,0.0002999196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006823328,"about_ca_system_score_gemma":0.006343161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004627862,"about_ca_topic_score_gemma":0.008019035,"domain_scores_codex":[0.9766058,0.01792822,0.0008870506,0.0008641341,0.002670263,0.001044611],"domain_scores_gemma":[0.9347104,0.05264547,0.002591318,0.001308756,0.007902368,0.0008417199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008106107,0.00008600669,0.004260855,0.0009607298,0.00001573054,0.000438042,0.9616022,0.0001217526,0.002089954,0.001236909,0.001179333,0.02792742],"study_design_scores_gemma":[0.00001825233,0.0001634816,0.007493375,0.001148957,0.00002333994,0.0002837747,0.9724784,0.0008350138,0.002282371,0.001261607,0.01396435,0.00004704943],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630484,0.0006557871,0.0207309,0.002326461,0.0001070126,0.004193252,0.0009621877,0.00009381885,0.007882202],"genre_scores_gemma":[0.9555669,0.001319651,0.02755135,0.001371341,0.00004633201,0.009372346,0.0005989555,0.0001583887,0.004014568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03921992,"threshold_uncertainty_score":0.2074173,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2513514030","doi":"10.2196/humanfactors.6029","title":"Development and Usability of REACH: A Tailored Theory-Based Text Messaging Intervention for Disadvantaged Adults With Type 2 Diabetes","year":2016,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":76,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Usability; Disadvantaged; Glycemic; Psychological intervention; Ethnic group; Intervention (counseling); Health care; Medicine; Psychology; Family medicine; Medical education; Gerontology; Applied psychology; Nursing; Diabetes mellitus; Computer science","authors":[{"name":"Lyndsay A. Nelson","is_ca":false},{"name":"Lindsay S. Mayberry","is_ca":false},{"name":"Kenneth A. Wallston","is_ca":false},{"name":"Sunil Kripalani","is_ca":false},{"name":"Erin M. Bergner","is_ca":false},{"name":"Chandra Y. Osborn","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04242922467259041,"gpt":0.3998639682792195,"spread":0.3574347436066291,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003708519,0.000629335,0.000378388,0.0007402799,0.0005319696,0.0005319747,0.0008569792,0.0005374884,0.003402918],"category_scores_gemma":[0.01032116,0.0002322054,0.000593702,0.0002296969,0.0003470333,0.0007715641,0.001572891,0.000497534,0.0003023974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005975734,"about_ca_system_score_gemma":0.001780922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001488146,"about_ca_topic_score_gemma":0.00258859,"domain_scores_codex":[0.9982173,0.001028076,0.0001293678,0.0001309816,0.0003441621,0.0001501921],"domain_scores_gemma":[0.9976578,0.001567302,0.0001349118,0.0001004487,0.0002404239,0.0002990831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.001707846,0.01357887,0.02633283,0.004407628,0.0001685024,0.0006382162,0.02763817,0.003132889,0.01752243,0.001385252,0.01582137,0.887666],"study_design_scores_gemma":[0.01332282,0.1340532,0.4765997,0.01188882,0.003203189,0.002890847,0.05797965,0.05200902,0.05048579,0.009341499,0.1873227,0.0009027626],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9660549,0.0002230698,0.0154982,0.001180241,0.0001042788,0.009255049,0.000396559,0.000941541,0.006346248],"genre_scores_gemma":[0.8334517,0.0006862526,0.1397576,0.0007977549,0.0000623968,0.02108775,0.0005924822,0.00009994458,0.003464126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003708519,"threshold_uncertainty_score":0.01961279,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2896508784","doi":"10.2196/11048","title":"Innovating From Within: A Process Model for User-Centered Digital Development in Academic Medical Centers","year":2018,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health","keywords":"Agile software development; USable; Process (computing); Design thinking; Process management; Knowledge management; Relation (database); Health care; Computer science; Digital transformation; Engineering management; Engineering; Human–computer interaction; Software engineering; Political science; World Wide Web","authors":[{"name":"Sara Chokshi","is_ca":false},{"name":"David Mann","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04316881782501756,"gpt":0.3060242074381834,"spread":0.2628553896131658,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02964776,0.001147583,0.0004816633,0.00312536,0.003583519,0.009941998,0.00280917,0.003809335,0.003207535],"category_scores_gemma":[0.02871658,0.0007628141,0.001604192,0.001846527,0.007978142,0.008420249,0.008521985,0.002834204,0.0009382403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006840771,"about_ca_system_score_gemma":0.01937812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002912253,"about_ca_topic_score_gemma":0.002845193,"domain_scores_codex":[0.9663577,0.02475617,0.001733554,0.001440592,0.004628527,0.001083511],"domain_scores_gemma":[0.9670605,0.02030286,0.002196215,0.003461619,0.00521897,0.001759769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000265267,0.0008232393,0.009248257,0.001064248,0.00008207883,0.001011638,0.06818255,0.03674215,0.005513504,0.7365609,0.003134313,0.1373719],"study_design_scores_gemma":[0.0004791383,0.001844367,0.003865995,0.002166437,0.0002402275,0.001848994,0.03339008,0.2487336,0.01704813,0.4965296,0.1934904,0.0003629842],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03502067,0.0002066359,0.9348483,0.003437612,0.00006191096,0.002765034,0.00008359028,0.0004883732,0.02308786],"genre_scores_gemma":[0.2649972,0.0002441274,0.7285099,0.0003553842,0.00001699621,0.002966899,0.0001471337,0.00007584881,0.002686527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02964776,"threshold_uncertainty_score":0.1567943,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3146487980","doi":"10.2196/24860","title":"Identifying Barriers to and Opportunities for Telehealth Implementation Amidst the COVID-19 Pandemic by Using a Human Factors Approach: A Leap Into the Future of Health Care Delivery?","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"National Science Foundation","keywords":"Telehealth; Pandemic; Work (physics); Adaptation (eye); Coronavirus disease 2019 (COVID-19); Health care; Telemedicine; Health care delivery; Business; Healthcare delivery; Scale (ratio); Healthcare system; Nursing; Medicine; Knowledge management; Computer science; Political science; Psychology; Engineering; Geography","authors":[{"name":"Tianyi Zhang","is_ca":false},{"name":"Jarrod Mosier","is_ca":false},{"name":"Vignesh Subbian","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1994282463259478,"gpt":0.4500436799889421,"spread":0.2506154336629943,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06587104,0.0009865171,0.001346642,0.002666784,0.00598251,0.01685681,0.003144821,0.0045835,0.004507918],"category_scores_gemma":[0.09299748,0.0008324121,0.001602794,0.002936569,0.01172288,0.01567519,0.008431642,0.00795511,0.000359302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00859398,"about_ca_system_score_gemma":0.06364062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02218462,"about_ca_topic_score_gemma":0.02835027,"domain_scores_codex":[0.9393572,0.04532706,0.002000488,0.001846786,0.006547739,0.004920755],"domain_scores_gemma":[0.8688497,0.1073807,0.009396574,0.003497988,0.006439032,0.004436023],"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":[0.0001407067,0.001741336,0.1890026,0.004533532,0.0005620687,0.001070471,0.2544111,0.00431717,0.001156494,0.1873396,0.01528228,0.3404426],"study_design_scores_gemma":[0.00006900781,0.0008907398,0.08312906,0.01136133,0.0002767761,0.0004624492,0.672921,0.008004,0.001606743,0.1644853,0.05652405,0.0002695252],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2809175,0.01213825,0.1300677,0.5390099,0.001414265,0.001847357,0.000378994,0.0002331445,0.03399309],"genre_scores_gemma":[0.9169991,0.007948852,0.05596168,0.01550151,0.0003392636,0.001679955,0.0001175997,0.00006840863,0.001383585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06587104,"threshold_uncertainty_score":0.3483635,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2097345068","doi":"10.2196/humanfactors.4062","title":"Using Eye Trackers for Usability Evaluation of Health Information Technology: A Systematic Literature Review","year":2015,"lang":"en","type":"review","venue":"JMIR Human Factors","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Medical College of Wisconsin","keywords":"Usability; Eye tracking; Computer science; BitTorrent tracker; Web usability; Human–computer interaction; Cognitive walkthrough; Usability engineering; Pluralistic walkthrough; System usability scale; Usability goals; Artificial intelligence","authors":[{"name":"Onur Asan","is_ca":false},{"name":"Yushi Yang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2040907780346049,"gpt":0.4636993756648536,"spread":0.2596085976302487,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03173967,0.002187606,0.007554524,0.02447663,0.001375654,0.00414291,0.002742144,0.002243128,0.003495892],"category_scores_gemma":[0.1144247,0.001389073,0.008211328,0.01782466,0.00129061,0.004265076,0.002404616,0.001366631,0.0004665749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006552695,"about_ca_system_score_gemma":0.02142868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009952212,"about_ca_topic_score_gemma":0.02893253,"domain_scores_codex":[0.971477,0.01130336,0.009778524,0.001112675,0.005854876,0.0004735555],"domain_scores_gemma":[0.8843978,0.08528206,0.01334914,0.001661835,0.01457105,0.0007380872],"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":[0.0001817181,0.00005000808,0.001249005,0.8497631,0.004134941,0.0001161216,0.0006545638,0.0001119394,0.0001883481,0.0002844307,0.001880339,0.1413855],"study_design_scores_gemma":[0.0001743492,0.0003055424,0.003926111,0.9527582,0.02436427,0.0003544053,0.0008113552,0.0001497454,0.0003299422,0.0003400303,0.01642449,0.00006162741],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001307621,0.9964057,0.0004847412,0.0002870038,0.000108935,0.0008031327,0.0002156277,0.00001432167,0.0003729077],"genre_scores_gemma":[0.01671902,0.9779204,0.00250557,0.0003649324,0.00007050968,0.00202636,0.0002302409,0.00001080721,0.0001522145],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03173967,"threshold_uncertainty_score":0.1678574,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2600384000","doi":"10.2196/humanfactors.6481","title":"Design and Usability of a Heart Failure mHealth System: A Pilot Study","year":2017,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":63,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"mHealth; Usability; Heart failure; Computer science; Medicine; Human–computer interaction; Internal medicine; Nursing; Psychological intervention","authors":[{"name":"Nagla Alnosayan","is_ca":false},{"name":"Samir Chatterjee","is_ca":false},{"name":"Ala Saleh Alluhaidan","is_ca":false},{"name":"Edward Lee","is_ca":false},{"name":"Linda Feenstra","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1656630908661539,"gpt":0.4742483232289758,"spread":0.3085852323628219,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01093522,0.0007260605,0.0006385022,0.0007145018,0.001311093,0.001123371,0.0009545152,0.00121047,0.001800683],"category_scores_gemma":[0.01700374,0.0004688482,0.0008167626,0.0003214467,0.001014711,0.001375582,0.001105528,0.0008274553,0.0005346579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009358961,"about_ca_system_score_gemma":0.001767929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001886266,"about_ca_topic_score_gemma":0.002457255,"domain_scores_codex":[0.9952088,0.002945062,0.0004470346,0.0003004166,0.0005744041,0.0005242353],"domain_scores_gemma":[0.9890224,0.005641984,0.0005797568,0.0006784879,0.002926314,0.001151142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004987856,0.1123072,0.3204858,0.0047888,0.000351079,0.00701025,0.2196468,0.002735567,0.06129016,0.0005033334,0.003840447,0.2620528],"study_design_scores_gemma":[0.003152734,0.3252297,0.5095165,0.0007215386,0.0006298159,0.005137551,0.09804159,0.009760221,0.02807733,0.0003977852,0.01891143,0.0004238163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958086,0.00006574181,0.001767796,0.00007315345,0.00001212011,0.001723752,0.00004812275,0.00002571191,0.000475116],"genre_scores_gemma":[0.9843222,0.0002052419,0.01164491,0.000212241,0.00003028826,0.00251019,0.0001582881,0.00002260099,0.0008939976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01093522,"threshold_uncertainty_score":0.05783165,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2930205843","doi":"10.2196/12700","title":"Creating an mHealth App for Colorectal Cancer Screening: User-Centered Design Approach","year":2019,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":63,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute","keywords":"mHealth; Popularity; Usability; Mobile apps; Context (archaeology); User-centered design; Computer science; Internet privacy; World Wide Web; Medicine; Human–computer interaction; Psychology; Nursing; Psychological intervention","authors":[{"name":"Lauren Griffin","is_ca":false},{"name":"Donghee N. Lee","is_ca":false},{"name":"Alyssa Jaisle","is_ca":false},{"name":"Peter J. Carek","is_ca":false},{"name":"Thomas J. George","is_ca":false},{"name":"Eric B. Laber","is_ca":false},{"name":"Benjamin Lok","is_ca":false},{"name":"François Modave","is_ca":false},{"name":"Electra D. Paskett","is_ca":false},{"name":"Janice L. Krieger","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.171328063326724,"gpt":0.4749246605881596,"spread":0.3035965972614356,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02909573,0.001323552,0.0006065388,0.002362372,0.002594008,0.004722991,0.002441467,0.002075946,0.002794156],"category_scores_gemma":[0.01932441,0.0009648514,0.001341639,0.001000303,0.003351388,0.00329386,0.004510981,0.002188449,0.000689723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001885789,"about_ca_system_score_gemma":0.004884133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008627089,"about_ca_topic_score_gemma":0.001765322,"domain_scores_codex":[0.9733816,0.02107159,0.001110718,0.001280134,0.002541257,0.0006146356],"domain_scores_gemma":[0.9815538,0.01291624,0.0008461057,0.0009147415,0.002986412,0.0007826284],"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":[0.0008509473,0.004498199,0.02659166,0.01343927,0.0004277001,0.001811285,0.3440808,0.008296406,0.03958854,0.05127745,0.01200683,0.4971309],"study_design_scores_gemma":[0.002515249,0.01523568,0.02654177,0.01242051,0.001916859,0.006149359,0.1800954,0.05976676,0.05751867,0.07619368,0.5606767,0.0009693746],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1971431,0.003547459,0.7333694,0.005411824,0.000424532,0.0282222,0.0003313184,0.001342807,0.03020737],"genre_scores_gemma":[0.2065413,0.001270732,0.7741616,0.0009682081,0.00005744856,0.01285185,0.0001238915,0.000119155,0.003905888],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02909573,"threshold_uncertainty_score":0.1538748,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2883245948","doi":"10.2196/humanfactors.9569","title":"A Patient-Facing Diabetes Dashboard Embedded in a Patient Web Portal: Design Sprint and Usability Testing","year":2018,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":62,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health","keywords":"Usability; Dashboard; Web usability; Computer science; Usability lab; Psychological intervention; Task (project management); Medicine; Human–computer interaction; Usability engineering; Engineering; Nursing; Software engineering","authors":[{"name":"William Martínez","is_ca":false},{"name":"Anthony L. Threatt","is_ca":false},{"name":"S. Trent Rosenbloom","is_ca":false},{"name":"Kenneth A. Wallston","is_ca":false},{"name":"Gerald B. Hickson","is_ca":false},{"name":"Tom A. Elasy","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08737794204191292,"gpt":0.4079892400341621,"spread":0.3206112979922492,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0227366,0.001460103,0.0006137289,0.001158056,0.0007543086,0.00105776,0.001230447,0.0009820506,0.001432953],"category_scores_gemma":[0.03100703,0.0006834106,0.001043844,0.0004858667,0.0008696466,0.00113416,0.001282487,0.0006797626,0.000380275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007173267,"about_ca_system_score_gemma":0.001419044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006770258,"about_ca_topic_score_gemma":0.00101777,"domain_scores_codex":[0.9868485,0.008582882,0.00157253,0.0009360769,0.00150607,0.0005539902],"domain_scores_gemma":[0.9719365,0.01740078,0.001359734,0.002858671,0.005830898,0.0006134748],"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":[0.004534456,0.03262179,0.08335429,0.007820773,0.0007788473,0.00270525,0.05910484,0.01820393,0.1671501,0.003097958,0.006537414,0.6140903],"study_design_scores_gemma":[0.007613278,0.2260624,0.2054093,0.002446717,0.001859219,0.005264631,0.02557565,0.1046997,0.3531373,0.004480506,0.06205575,0.001395443],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8909257,0.0001488432,0.09407687,0.0001642957,0.00007977877,0.01239071,0.0002166687,0.0005184676,0.001478759],"genre_scores_gemma":[0.6346067,0.0002322014,0.3491069,0.0002271948,0.00004179958,0.01382443,0.000361503,0.0001689962,0.001430147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0227366,"threshold_uncertainty_score":0.120244,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3166334636","doi":"10.2196/24927","title":"User Evaluation of the Swedish Patient Accessible Electronic Health Record: System Usability Scale","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":61,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Forskningsrådet om Hälsa, Arbetsliv och Välfärd; Vetenskapsrådet","keywords":"Usability; Transparency (behavior); System usability scale; Expectancy theory; Scale (ratio); Health care; Web usability; Computer science; World Wide Web; Psychology; Medicine; Human–computer interaction; Geography; Social psychology; Computer security","authors":[{"name":"Maria Hägglund","is_ca":false},{"name":"Isabella Scandurra","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08818591759585419,"gpt":0.4570762558985741,"spread":0.3688903383027199,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01082558,0.000331703,0.0005945476,0.0009786278,0.0004376977,0.001012457,0.0002991249,0.0005411266,0.00177395],"category_scores_gemma":[0.02933463,0.000171029,0.001138655,0.000541042,0.0004279079,0.0006916136,0.001141373,0.0003558928,0.0003149588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005184275,"about_ca_system_score_gemma":0.0004914733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009746886,"about_ca_topic_score_gemma":0.001007169,"domain_scores_codex":[0.9923948,0.0044981,0.001126358,0.0003338407,0.00141617,0.0002306913],"domain_scores_gemma":[0.974884,0.01760023,0.002822746,0.0006931135,0.003180255,0.0008196289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007106941,0.003451445,0.74294,0.002819766,0.000827836,0.0005522822,0.03573164,0.001775689,0.008677489,0.0002440964,0.003586804,0.192286],"study_design_scores_gemma":[0.0002917738,0.01030833,0.9650719,0.0002943523,0.000255366,0.0007081077,0.01090086,0.004278031,0.003276437,0.0001034787,0.004366419,0.0001450276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985468,0.0001046621,0.0003497912,0.0000497775,0.00000936283,0.0001416023,0.000137355,0.00002216162,0.0006385106],"genre_scores_gemma":[0.997371,0.00009983852,0.001701513,0.00004462211,0.000008879326,0.0002323308,0.0001999258,0.000008176665,0.0003337584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01082558,"threshold_uncertainty_score":0.05725181,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3173268318","doi":"10.2196/29690","title":"Clinician Perspectives on Telemedicine: Observational Cross-sectional Study","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Observational study; Telemedicine; Cross-sectional study; Medicine; Health care; Political science; Pathology","authors":[{"name":"Maria Alcocer Alkureishi","is_ca":false},{"name":"Zi-Yi Choo","is_ca":false},{"name":"G Lenti","is_ca":false},{"name":"Jason Castaneda","is_ca":false},{"name":"Mengqi Zhu","is_ca":false},{"name":"Kenneth Nunes","is_ca":false},{"name":"George Weyer","is_ca":false},{"name":"Julie Oyler","is_ca":false},{"name":"Sachin Shah","is_ca":false},{"name":"Wei Wei Lee","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1701563288708453,"gpt":0.4811610906494491,"spread":0.3110047617786039,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004641871,0.0002691877,0.000526941,0.001532761,0.001522087,0.001485848,0.0006448624,0.0009391718,0.002818153],"category_scores_gemma":[0.01481525,0.000890024,0.0004027756,0.002135435,0.0006713354,0.001668427,0.001499322,0.00142623,0.0008694034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137184,"about_ca_system_score_gemma":0.001913032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007336055,"about_ca_topic_score_gemma":0.01036449,"domain_scores_codex":[0.9959557,0.00179108,0.0006368437,0.0004630299,0.000714894,0.000438562],"domain_scores_gemma":[0.9803924,0.006917223,0.0074487,0.0005794943,0.00272776,0.001934419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005343872,0.0004092917,0.9895316,0.00008281544,0.00001903092,0.0001563318,0.00738063,0.00001904699,0.0001742732,0.00002107172,0.0004093042,0.001743151],"study_design_scores_gemma":[0.00004672481,0.001106224,0.9484856,0.000199043,0.0000400436,0.0008278626,0.04713525,0.000354229,0.0002226505,0.00003663676,0.001523324,0.00002230166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982244,0.0001330365,0.0001535048,0.0001640225,0.000005807409,0.0001573556,0.0005425983,0.000003777307,0.0006154877],"genre_scores_gemma":[0.9980918,0.0002684961,0.0004144333,0.0003739263,0.00001821189,0.0003205375,0.0003552646,0.000003844459,0.0001535056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007336055,"threshold_uncertainty_score":0.02454889,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2937218478","doi":"10.2196/12469","title":"Interruptive Versus Noninterruptive Clinical Decision Support: Usability Study","year":2019,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":60,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"National Cancer Institute; Agency for Healthcare Research and Quality","keywords":"Usability; Computer science; Pluralistic walkthrough; Web usability; Human–computer interaction","authors":[{"name":"Saul Blecker","is_ca":false},{"name":"Rishi Pandya","is_ca":false},{"name":"Susan K. Stork","is_ca":false},{"name":"David Mann","is_ca":false},{"name":"Gilad J. Kuperman","is_ca":false},{"name":"Donna Shelley","is_ca":false},{"name":"Jonathan Austrian","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1962325679092822,"gpt":0.5627060632478116,"spread":0.3664734953385294,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04631706,0.0006207766,0.001277451,0.00114203,0.0008752162,0.001661292,0.0008166392,0.0008371111,0.002006687],"category_scores_gemma":[0.09828574,0.0004857465,0.001506838,0.0009430418,0.001408879,0.002091551,0.001239151,0.0009007668,0.000206414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480235,"about_ca_system_score_gemma":0.001702394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008929312,"about_ca_topic_score_gemma":0.001193462,"domain_scores_codex":[0.9656914,0.02351125,0.004667832,0.001701478,0.003498827,0.0009291467],"domain_scores_gemma":[0.8650802,0.1107824,0.00762497,0.003800592,0.01012716,0.002584666],"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":[0.06274416,0.07550108,0.2988474,0.01806194,0.003102843,0.0008655677,0.1117716,0.00320295,0.01112309,0.001731503,0.003771213,0.4092767],"study_design_scores_gemma":[0.02201121,0.3980146,0.4773491,0.003655888,0.002854761,0.001020066,0.0540644,0.01386566,0.01002515,0.001789617,0.01456242,0.0007870887],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961359,0.0002456014,0.001169703,0.00006422831,0.00003792945,0.001603589,0.00005688241,0.00001526227,0.0006709235],"genre_scores_gemma":[0.9867277,0.0003300394,0.007287398,0.0001885752,0.00005244825,0.004983306,0.0001071205,0.00001799739,0.000305466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04631706,"threshold_uncertainty_score":0.244951,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2100240588","doi":"10.2196/humanfactors.3787","title":"Testing Usability and Acceptability of a Web Application to Promote Physical Activity (iCanFit) Among Older Adults","year":2014,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"National Center for Chronic Disease Prevention and Health Promotion; U.S. National Library of Medicine; Centers for Disease Control and Prevention","keywords":"Usability; The Internet; Mobile apps; Web application; World Wide Web; Population; Physical activity; Internet privacy; Mobile Web; Gerontology; Computer science; Mobile device; Mobile technology; Medicine; Physical therapy; Human–computer interaction; Environmental health","authors":[{"name":"Yan Hong","is_ca":false},{"name":"Daniel W. Goldberg","is_ca":false},{"name":"Deborah Vollmer Dahlke","is_ca":false},{"name":"Marcia G. Ory","is_ca":false},{"name":"Jessica S Cargill","is_ca":false},{"name":"R. Richard Coughlin","is_ca":false},{"name":"Edgar Hernández","is_ca":false},{"name":"Debra Kellstedt","is_ca":false},{"name":"S. Camille Peres","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01829686558069699,"gpt":0.3140081844946521,"spread":0.2957113189139551,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004549136,0.0004808281,0.0002792136,0.0005897412,0.0004167306,0.0005601953,0.0003424908,0.0004325937,0.001393498],"category_scores_gemma":[0.0100311,0.000189149,0.0006367113,0.0002497166,0.0002824124,0.0004425535,0.0005527175,0.0003635488,0.0002778571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002500041,"about_ca_system_score_gemma":0.0004475498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001382674,"about_ca_topic_score_gemma":0.002606802,"domain_scores_codex":[0.9980114,0.0007444012,0.0003377693,0.0001696891,0.0005825354,0.0001542247],"domain_scores_gemma":[0.9932724,0.003047854,0.0008880234,0.0002502063,0.00198631,0.0005551986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001991759,0.006295825,0.8678331,0.0007274513,0.0002014158,0.0003614275,0.011578,0.0003690396,0.01338997,0.0000506597,0.001110601,0.09609073],"study_design_scores_gemma":[0.0002184555,0.01967147,0.9680824,0.000140954,0.0001806447,0.0005210196,0.003408166,0.001590545,0.004094155,0.00004975875,0.001996244,0.00004617235],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985744,0.00003880418,0.0003344111,0.00002071037,0.000006376905,0.0003722915,0.00004601734,0.00001797565,0.0005889605],"genre_scores_gemma":[0.9951709,0.0001017414,0.003222031,0.00006579722,0.00001553477,0.000825406,0.00015638,0.000007373532,0.0004347419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004549136,"threshold_uncertainty_score":0.0240584,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3115098061","doi":"10.2196/23796","title":"The Use of Telehealth Technology to Support Health Coaching for Older Adults: Literature Review","year":2020,"lang":"en","type":"review","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":60,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Telehealth; Coaching; Psychology; Telemedicine; Gerontology; Medicine; Health care; Nursing; Medical education; Political science; Psychotherapist","authors":[{"name":"Carl Markert","is_ca":false},{"name":"Farzan Sasangohar","is_ca":false},{"name":"Bobak J. Mortazavi","is_ca":false},{"name":"Sherecce Fields","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.134224646004098,"gpt":0.521585268343574,"spread":0.387360622339476,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005108858,0.001029724,0.003744905,0.01267957,0.0007385454,0.002659096,0.001717936,0.002506348,0.004830771],"category_scores_gemma":[0.02200867,0.0008214226,0.003891228,0.01422801,0.0007708656,0.002654452,0.001405028,0.001077268,0.0004301516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003373883,"about_ca_system_score_gemma":0.00992712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008483478,"about_ca_topic_score_gemma":0.01700421,"domain_scores_codex":[0.9962415,0.001089173,0.001399199,0.0002694267,0.0008609749,0.0001396728],"domain_scores_gemma":[0.978712,0.01601735,0.003106499,0.0001919114,0.001760896,0.0002113697],"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":[0.0001001518,0.00004012532,0.0005727339,0.8612557,0.001483022,0.000142766,0.0004445659,0.00007728038,0.0001275899,0.0003084685,0.002200885,0.1332466],"study_design_scores_gemma":[0.00006975881,0.0002136022,0.003946108,0.9525693,0.01001177,0.0006610501,0.0006123324,0.00007184166,0.0001519992,0.0001956535,0.03147034,0.00002618696],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004826822,0.9988198,0.00005208621,0.0001563151,0.00005954897,0.00008080253,0.00004984018,0.000003033022,0.0002959436],"genre_scores_gemma":[0.003931842,0.9953451,0.0002431961,0.0001958961,0.0000448194,0.0001253489,0.00004204018,0.000001525869,0.00007029878],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01267957,"threshold_uncertainty_score":0.02701855,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}