{"meta":{"query_hash":"b1d9c010a206","filters":{"venue":"Journal of Medical Systems"},"cohort_total":111,"direct_labels_cover":0,"predictions_cover":111,"exported":111,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/b1d9c010a206","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Medical+Systems"},"results":[{"id":"W1120651397","doi":"10.1007/s10916-015-0311-6","title":"A Type-2 Fuzzy Image Processing Expert System for Diagnosing Brain Tumors","year":2015,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Preprocessor; Artificial intelligence; Segmentation; Feature extraction; Feature (linguistics); Inference engine; Focus (optics); Pattern recognition (psychology); Computer vision; Fuzzy logic; Image processing; Inference; Image (mathematics)","score_opus":0.07998208814671419,"score_gpt":0.3401319944632105,"score_spread":0.2601499063164963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1120651397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67542356,0.0071738646,0.19676374,0.07374419,0.034108277,0.0026668364,0.000017395228,0.0006464863,0.009455636],"genre_scores_gemma":[0.99774826,0.000011604924,0.0001621802,0.00047203226,0.0013979776,0.000022216951,3.4359235e-7,0.000022314221,0.00016310334],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99708986,0.00031618524,0.00073195755,0.00018406821,0.0014516223,0.00022631994],"domain_scores_gemma":[0.99787027,0.00052656577,0.0006518679,0.00012227298,0.00031863814,0.0005103813],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002849973,0.00011424441,0.0003069123,0.00012501767,0.00012166717,0.00019002274,0.00037471234,0.00011721271,0.000007101576],"category_scores_gemma":[0.00878473,0.0000831977,0.00008910161,0.00029865289,0.00008761602,0.00028422484,0.000024444591,0.0002690891,0.000019939695],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010633031,0.00080836134,0.0003441674,0.0031635838,0.000051249186,0.0015116239,0.0071140756,0.0001356565,0.61813325,0.011882894,0.27696016,0.0788317],"study_design_scores_gemma":[0.016297555,0.0034538978,0.0004349723,0.017198952,0.000112192625,0.0418499,0.050612625,0.18230464,0.18668817,0.00065190106,0.49886405,0.0015311528],"about_ca_topic_score_codex":0.000014847541,"about_ca_topic_score_gemma":7.975696e-7,"teacher_disagreement_score":0.43144506,"about_ca_system_score_codex":0.00024814604,"about_ca_system_score_gemma":0.0004607935,"threshold_uncertainty_score":0.9995647},"labels":[],"label_agreement":null},{"id":"W1490945926","doi":"10.1023/a:1025687220609","title":"Terminological Problems in Information Retrieval","year":2003,"lang":"en","type":"review","venue":"Journal of Medical Systems","topic":"Library Science and Information","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Terminology; Computer science; Information retrieval; Information system; Health informatics; Data science; Linguistics","score_opus":0.06087502849426557,"score_gpt":0.3095668352614405,"score_spread":0.24869180676717495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1490945926","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000053526346,0.973959,0.02131563,0.00022281465,0.0029012943,0.00034453822,0.0000010933854,0.000017544346,0.0012327103],"genre_scores_gemma":[0.000026704305,0.9993627,0.00024788722,0.00012710187,0.00018588042,0.0000040299724,0.000003604192,0.0000030057836,0.00003910204],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99459475,0.00035420727,0.0024365624,0.000105670864,0.0022410918,0.00026774124],"domain_scores_gemma":[0.99744016,0.0001545975,0.0017926963,0.0002455806,0.00009993411,0.00026703704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004572466,0.00018626574,0.0010717385,0.00058435503,0.00003445239,0.0004331279,0.0022648217,0.00056319305,0.00002502004],"category_scores_gemma":[0.0005106361,0.000105934276,0.0002399237,0.00096430525,0.0000471957,0.0063925236,0.00014641376,0.0009140108,0.00011596121],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.9198704e-7,0.000030452029,0.000009707825,0.005034971,0.000015316135,0.000051647734,0.00021446028,0.000014637414,9.064548e-9,0.0050905184,0.0038785853,0.9856588],"study_design_scores_gemma":[0.00019939322,0.00013953644,0.000004844557,0.011206513,0.00000961957,0.0019710853,0.0000196985,0.0018401395,4.7491476e-8,0.00007038122,0.98441684,0.000121874786],"about_ca_topic_score_codex":0.0000040466107,"about_ca_topic_score_gemma":8.6789804e-8,"teacher_disagreement_score":0.98553693,"about_ca_system_score_codex":0.0001456984,"about_ca_system_score_gemma":0.0012091601,"threshold_uncertainty_score":0.46344253},"labels":[],"label_agreement":null},{"id":"W1501070457","doi":"10.1023/a:1025603704680","title":"Current Status of the Evaluation of Information Retrieval","year":2003,"lang":"en","type":"review","venue":"Journal of Medical Systems","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Relevance (law); Information retrieval; Data science; Management science; Engineering","score_opus":0.12949452690026483,"score_gpt":0.4170239174674541,"score_spread":0.2875293905671893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1501070457","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000056454315,0.9821607,0.012045253,0.000037024165,0.004837697,0.00065352925,0.000014874608,0.0000037265131,0.00019075182],"genre_scores_gemma":[0.00030182005,0.9994839,0.00006972748,0.000007183465,0.0001165541,0.000004012658,0.000004580345,0.000003909941,0.000008356212],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9868911,0.001195568,0.0029154974,0.00006755539,0.008698542,0.00023177169],"domain_scores_gemma":[0.9925904,0.00021751193,0.004501062,0.00036286502,0.0020765443,0.00025158798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012596326,0.00015698207,0.0010120405,0.00033146513,0.000043085052,0.00007585051,0.0015357236,0.00026664918,0.000040232586],"category_scores_gemma":[0.0025246618,0.00007969355,0.00050351996,0.0009204773,0.00007394355,0.0007313043,0.00015219537,0.00075728656,0.000010601767],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029026908,0.000036974187,0.0000067969077,0.0068859444,0.000038840106,4.776189e-7,0.00021438212,0.000012982056,6.6834176e-8,0.0021621138,0.00086343725,0.98977506],"study_design_scores_gemma":[0.00045900466,0.000097411554,0.000035810655,0.015844844,0.0002559707,0.00016544579,0.00003659549,0.0029622412,0.000002771628,0.000025152021,0.980031,0.000083745756],"about_ca_topic_score_codex":0.000011509029,"about_ca_topic_score_gemma":1.6777865e-7,"teacher_disagreement_score":0.9896913,"about_ca_system_score_codex":0.00033781477,"about_ca_system_score_gemma":0.005543263,"threshold_uncertainty_score":0.98335105},"labels":[],"label_agreement":null},{"id":"W1568047218","doi":"10.1023/a:1015014402846","title":"A Data Mining Approach to Characterizing Medical Code Usage Patterns","year":2002,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Health informatics; Computer science; Code (set theory); Data mining; Data science; Programming language; Medicine; Public health","score_opus":0.11436576168669083,"score_gpt":0.3179121908718094,"score_spread":0.20354642918511856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1568047218","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014453079,0.00039557318,0.969682,0.013468015,0.0011478601,0.00011887354,0.000076131226,0.0000420244,0.000616457],"genre_scores_gemma":[0.8306322,0.0006540286,0.1564756,0.004605508,0.006877043,0.00004939178,0.000071602546,0.00005857254,0.00057600666],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99541813,0.00014446043,0.0008715392,0.00035017193,0.0029008281,0.00031488805],"domain_scores_gemma":[0.99736726,0.00023199902,0.0003671372,0.00092110934,0.000083661485,0.0010288119],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0040756683,0.00013019,0.0003719637,0.0001275537,0.00010077321,0.00032307213,0.00563595,0.00015112714,0.00009319274],"category_scores_gemma":[0.0008873841,0.00009598916,0.000052707,0.0003375531,0.000034855904,0.00056785747,0.0010174048,0.0004605039,0.000054619057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055282203,0.001136883,0.0018579159,0.0002700924,0.00019797037,0.0008931821,0.0034578315,0.000015835643,0.00012572753,0.0036858153,0.2729937,0.7153595],"study_design_scores_gemma":[0.00041475968,0.00007613844,0.00070551154,0.0007599995,0.000011219804,0.002310034,0.00020648444,0.79576707,0.000003822694,0.0000029184453,0.19959323,0.00014880189],"about_ca_topic_score_codex":0.000034387034,"about_ca_topic_score_gemma":0.0000028880745,"teacher_disagreement_score":0.81617916,"about_ca_system_score_codex":0.000037712634,"about_ca_system_score_gemma":0.000118074575,"threshold_uncertainty_score":0.99974406},"labels":[],"label_agreement":null},{"id":"W1702139501","doi":"10.1023/a:1021061229743","title":"The Impact of CyberHealthcare on the Physician–Patient Relationship","year":2003,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":265,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"U.S. National Library of Medicine","keywords":"The Internet; Health informatics; Health care; Internet privacy; Health information; Medicine; Disease; Business; Public health; Family medicine; Public relations; Nursing; World Wide Web; Computer science; Political science","score_opus":0.0992840826669036,"score_gpt":0.4926433818578555,"score_spread":0.3933592991909519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1702139501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97006094,0.0009778707,0.00041545232,0.010054376,0.0027074558,0.00079072063,0.000011969575,0.000008717585,0.014972504],"genre_scores_gemma":[0.99814343,0.00008305656,0.000010275786,0.001318457,0.00031792585,0.000018686189,8.9879234e-7,0.0000060320644,0.00010123304],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99176234,0.0037781277,0.002690498,0.000060556533,0.0014038522,0.00030465232],"domain_scores_gemma":[0.9901753,0.005989684,0.0025342873,0.00030892322,0.00066713133,0.00032465806],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.014697795,0.00009211576,0.00029174256,0.000054588832,0.00088566355,0.000017724098,0.00034851854,0.00019057529,0.0001907618],"category_scores_gemma":[0.009905407,0.000034499863,0.0001678595,0.00025617244,0.00008042433,0.00020320882,0.000020849224,0.0015829873,0.000060040453],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045619765,0.0003968766,0.42989033,0.0014102623,0.00017380994,0.000007577916,0.022091035,0.0003467931,0.0000045698043,0.26011646,0.26205048,0.02305562],"study_design_scores_gemma":[0.0030515923,0.0021825526,0.42170668,0.0097435415,0.00003443139,0.000075839096,0.046062335,0.006863896,0.000016005963,0.00554129,0.5044339,0.00028797926],"about_ca_topic_score_codex":0.00024230979,"about_ca_topic_score_gemma":0.00000714754,"teacher_disagreement_score":0.25457516,"about_ca_system_score_codex":0.00031012544,"about_ca_system_score_gemma":0.0016874688,"threshold_uncertainty_score":0.9984346},"labels":[],"label_agreement":null},{"id":"W1920801162","doi":"10.1007/s10916-015-0364-6","title":"From Cues to Nudge: A Knowledge-Based Framework for Surveillance of Healthcare-Associated Infections","year":2015,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; University of Ottawa; McGill University","funders":"","keywords":"Health informatics; Health care; Computer science; Healthcare system; Data science; Political science","score_opus":0.5621945677954413,"score_gpt":0.5887364903089728,"score_spread":0.02654192251353149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1920801162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6786467,0.0062438133,0.08212821,0.20907505,0.021093156,0.0021539237,0.00031722477,0.00010238013,0.00023954701],"genre_scores_gemma":[0.99119693,0.00008936869,0.0013227753,0.003747223,0.0033751565,0.00012089875,0.000015066141,0.00004347858,0.00008911039],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.98696786,0.0074892035,0.0027766207,0.0002412826,0.0019133921,0.00061166415],"domain_scores_gemma":[0.97361815,0.017456885,0.0027537781,0.0003806929,0.0038026222,0.0019878873],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.025144482,0.0001998244,0.001181878,0.00025257372,0.0002891787,0.000021947419,0.0005616556,0.00097121036,0.00008539979],"category_scores_gemma":[0.086831816,0.00015847522,0.000193207,0.0006325421,0.00008091786,0.0001590078,0.00008828041,0.0020078374,0.00008002719],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001288902,0.0021077446,0.70095336,0.004724214,0.0005518808,0.000043038704,0.021424891,0.000086000524,0.00004007537,0.008671319,0.25457713,0.005531423],"study_design_scores_gemma":[0.015291899,0.0074161645,0.1061078,0.031358626,0.00022459595,0.000043596337,0.038327944,0.004079203,0.000040411676,0.0121920165,0.7838931,0.0010246371],"about_ca_topic_score_codex":0.018610226,"about_ca_topic_score_gemma":0.005068342,"teacher_disagreement_score":0.5948456,"about_ca_system_score_codex":0.0009798614,"about_ca_system_score_gemma":0.007548113,"threshold_uncertainty_score":0.99807817},"labels":[],"label_agreement":null},{"id":"W1964725182","doi":"10.1007/s10916-014-0073-6","title":"Assessing the Prognoses on Health Care in the Information Society 2013 - Thirteen Years After","year":2014,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Health informatics; Health care; Informatics; Medicine; Telemedicine; Health information exchange; Health information technology; Information and Communications Technology; Matching (statistics); MEDLINE; Information technology; Family medicine; Health information; Medical emergency; Nursing; Computer science; Public health; Political science; Pathology; World Wide Web","score_opus":0.037508760135230884,"score_gpt":0.4542092199655024,"score_spread":0.4167004598302715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964725182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7337858,0.011408253,0.002215298,0.23556335,0.009576667,0.0042621363,0.00000851057,0.000056710112,0.003123245],"genre_scores_gemma":[0.98437625,0.0003824471,0.000031865107,0.012760593,0.0022689886,0.00013443166,0.0000031449724,0.000013469718,0.000028789738],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.990149,0.0050050034,0.0018750104,0.00009627143,0.0022516276,0.0006230469],"domain_scores_gemma":[0.99558127,0.0022076583,0.0014547853,0.000279051,0.00022598234,0.00025124292],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.022822678,0.00013294423,0.0004535119,0.000085339416,0.00040764207,0.000090419984,0.0006170407,0.000327919,0.00003880359],"category_scores_gemma":[0.00092666625,0.000062063875,0.00013192945,0.00025360507,0.000057576854,0.00040119782,0.00004323135,0.0026129778,0.00009482873],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012905763,0.00015225678,0.053120587,0.0062173633,0.00009745934,0.000022440823,0.20233186,0.000075915385,8.9544835e-7,0.0025836928,0.6129394,0.12232904],"study_design_scores_gemma":[0.0014102774,0.0006474018,0.0475074,0.0056676534,0.000011414373,0.00008251813,0.0845123,0.0016073735,1.0436748e-7,0.000038467122,0.85841316,0.00010192947],"about_ca_topic_score_codex":0.0018709212,"about_ca_topic_score_gemma":0.00045163347,"teacher_disagreement_score":0.25059044,"about_ca_system_score_codex":0.0007182865,"about_ca_system_score_gemma":0.0026066173,"threshold_uncertainty_score":0.999688},"labels":[],"label_agreement":null},{"id":"W1968749808","doi":"10.1007/s10916-009-9374-6","title":"Monitoring of Medication Intake Using a Camera System","year":2009,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Artificial intelligence; Computer science; Computer vision; Context (archaeology); Histogram; Event (particle physics); Histogram of oriented gradients; Pattern recognition (psychology); Image (mathematics)","score_opus":0.030953637906845816,"score_gpt":0.3295340018790064,"score_spread":0.2985803639721606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968749808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844388,0.0075359135,0.0054907547,0.0003143458,0.0006872016,0.00002873976,0.0000016219794,0.000020746596,0.0014818751],"genre_scores_gemma":[0.99794877,0.00018356362,0.00025604072,0.000008633206,0.0015462235,5.4090435e-7,4.377103e-7,0.000007585545,0.00004822989],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969067,0.000038812257,0.0010276233,0.00009844551,0.001754728,0.00017368572],"domain_scores_gemma":[0.9982045,0.000121960984,0.0010335535,0.00015938394,0.00019985223,0.00028069335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008451588,0.00010977154,0.00053317193,0.00018498332,0.00004158606,0.000022815399,0.0004081135,0.00022836639,0.00013882513],"category_scores_gemma":[0.00046317975,0.000082081846,0.00014590178,0.00033977136,0.000043718093,0.00008877989,0.000016056396,0.0003856507,0.0000020535886],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003142011,0.0011824413,0.10960219,0.006701466,0.0018455365,0.0009731453,0.001874491,0.00066451106,0.8474272,0.002203827,0.0026634163,0.024547571],"study_design_scores_gemma":[0.009003704,0.0010499532,0.010011478,0.034629993,0.0035327587,0.01514854,0.060610563,0.038683176,0.8208189,0.00015167244,0.005032044,0.0013272262],"about_ca_topic_score_codex":0.00011184915,"about_ca_topic_score_gemma":1.5822044e-7,"teacher_disagreement_score":0.09959071,"about_ca_system_score_codex":0.0002692621,"about_ca_system_score_gemma":0.0001970029,"threshold_uncertainty_score":0.33472005},"labels":[],"label_agreement":null},{"id":"W1973458428","doi":"10.1023/b:joms.0000021524.90614.a9","title":"A New Look at Information Retrieval Evaluation: Proposal for Solutions","year":2004,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Medical Research Council","keywords":"Relevance (law); Computer science; Terminology; Information retrieval; Identification (biology); Precision and recall; Information system; Data science; Management science; Data mining","score_opus":0.04250847837540634,"score_gpt":0.3186410705850684,"score_spread":0.2761325922096621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973458428","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0050170748,0.00026022192,0.9775737,0.013981667,0.0023204663,0.0006142774,0.0000060003854,0.00002807365,0.00019851772],"genre_scores_gemma":[0.9028766,0.00016447941,0.0895803,0.0014186389,0.004486533,0.00006369401,0.000050377465,0.000025622,0.001333769],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9950137,0.00008091004,0.00093944196,0.000068514135,0.003640688,0.00025674794],"domain_scores_gemma":[0.99765116,0.00008712772,0.00052630046,0.00016622062,0.0011021921,0.00046699427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054621478,0.00008863975,0.00020007101,0.0001841042,0.00019811201,0.00018367366,0.0007353878,0.00014997374,0.0000719406],"category_scores_gemma":[0.0010697347,0.000062648214,0.00013435,0.00033244575,0.000032819644,0.0019538943,0.00011760547,0.00023330265,0.000091759],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006382965,0.00035191403,0.0002167713,0.0006518634,0.00022745792,0.00006177178,0.01025075,0.008691551,0.0004340392,0.61260617,0.17840952,0.18745993],"study_design_scores_gemma":[0.035366274,0.004757441,0.002598025,0.002077015,0.00025163146,0.0080113225,0.001394774,0.5364746,0.002379874,0.022351861,0.38330138,0.001035827],"about_ca_topic_score_codex":0.000029486233,"about_ca_topic_score_gemma":0.0000033213264,"teacher_disagreement_score":0.8978595,"about_ca_system_score_codex":0.0005350393,"about_ca_system_score_gemma":0.004433207,"threshold_uncertainty_score":0.7864319},"labels":[],"label_agreement":null},{"id":"W1976243885","doi":"10.1007/s10916-010-9452-9","title":"Implementing an Integrative Multi-agent Clinical Decision Support System with Open Source Software","year":2010,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Decision support system; Clinical decision support system; Health informatics; Process (computing); R-CAST; Software; Process management; Software engineering; Knowledge management; Data science; Business decision mapping; Health care; Artificial intelligence; Engineering; Operating system","score_opus":0.05197421499775531,"score_gpt":0.3862387418328207,"score_spread":0.3342645268350654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976243885","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1256662,0.000062323656,0.8686769,0.00021135408,0.0047495174,0.0005077885,0.0000030193733,0.00006379475,0.000059105758],"genre_scores_gemma":[0.9375012,0.000013036798,0.061003216,0.000097108044,0.0011724189,0.000016608907,0.00000363743,0.000026318543,0.00016647004],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9934191,0.0007139268,0.0023251285,0.00046273053,0.0025994177,0.0004796985],"domain_scores_gemma":[0.9951441,0.00059488206,0.0020029983,0.0006549447,0.0006122789,0.0009907777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016539847,0.0002544056,0.00083361083,0.00017353162,0.0002824729,0.0008224532,0.003402783,0.00031184492,0.0000690556],"category_scores_gemma":[0.0009455616,0.00014676517,0.00018539271,0.00027002252,0.0000673798,0.0012638466,0.00068863895,0.0010589471,0.000036635145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000511701,0.0029834423,0.2831321,0.0010582973,0.0010440814,0.0027325028,0.010966806,0.00047501293,0.0010146998,0.019321974,0.023961352,0.65279806],"study_design_scores_gemma":[0.018922906,0.004868013,0.035690524,0.009042123,0.00015291337,0.01199316,0.011612603,0.74261796,0.0002483297,0.000028051674,0.16348869,0.0013347518],"about_ca_topic_score_codex":0.000544853,"about_ca_topic_score_gemma":0.00049874885,"teacher_disagreement_score":0.811835,"about_ca_system_score_codex":0.00011142441,"about_ca_system_score_gemma":0.0006696954,"threshold_uncertainty_score":0.7930935},"labels":[],"label_agreement":null},{"id":"W1987469567","doi":"10.1007/s10916-014-0025-1","title":"Automated Bleeding Detection in Capsule Endoscopy Videos Using Statistical Features and Region Growing","year":2014,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Gastrointestinal Bleeding Diagnosis and Treatment","field":"Medicine","cited_by":100,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Grand Challenges Canada","keywords":"Capsule endoscopy; Computer science; Artificial intelligence; Histogram; Computer vision; Segmentation; Visualization; Feature (linguistics); Pattern recognition (psychology); Field (mathematics); Set (abstract data type); Image segmentation; Image (mathematics)","score_opus":0.022272583959801407,"score_gpt":0.3071245244553487,"score_spread":0.2848519404955473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987469567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98922783,0.00066595327,0.0082029505,0.001110638,0.0005731651,0.00013959096,5.124263e-7,0.00003375988,0.000045597935],"genre_scores_gemma":[0.99783206,0.00006455851,0.0015178908,0.0000636613,0.0004991876,0.0000029160137,7.6583126e-7,0.000013631283,0.000005346567],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99813235,0.00013346657,0.00057237234,0.00013533102,0.00081132184,0.00021513192],"domain_scores_gemma":[0.99889165,0.000313513,0.00025667928,0.0000631154,0.0001017024,0.00037335823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012725203,0.00012323826,0.00046293178,0.0002007606,0.000052723917,0.00004628161,0.000056605266,0.00012179888,0.0000072350135],"category_scores_gemma":[0.0016380235,0.00008598535,0.000051384814,0.00012651076,0.000051958647,0.000115180184,0.000021684984,0.000395272,0.0000011713005],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013362716,0.0018620066,0.7580539,0.0037904368,0.0008676869,0.013756986,0.0012515995,0.0010553986,0.16343127,0.003893646,0.006408669,0.044292152],"study_design_scores_gemma":[0.016531263,0.0060471594,0.35527396,0.031176848,0.0008594275,0.115801714,0.0016349421,0.46417361,0.0072776414,0.00015815515,0.00065612956,0.000409137],"about_ca_topic_score_codex":0.00048784065,"about_ca_topic_score_gemma":0.000008530885,"teacher_disagreement_score":0.46311823,"about_ca_system_score_codex":0.00019767784,"about_ca_system_score_gemma":0.00007344661,"threshold_uncertainty_score":0.3506381},"labels":[],"label_agreement":null},{"id":"W1989706576","doi":"10.1007/s10916-005-6102-8","title":"Collaborative Technology Use by Healthcare Teams","year":2005,"lang":"en","type":"review","venue":"Journal of Medical Systems","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Health care; Collaborative software; Knowledge management; Health informatics; Computer science; Empirical research; Healthcare delivery; Inclusion (mineral); Psychology","score_opus":0.03537110900871921,"score_gpt":0.4222094480463578,"score_spread":0.3868383390376386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989706576","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000033620487,0.99033344,0.0001329235,0.0023041274,0.0062128687,0.0004824716,0.00019885106,0.000028599396,0.00027312734],"genre_scores_gemma":[0.00013742983,0.9955666,0.000038643186,0.0001023396,0.0020001114,0.000045872705,0.000024923153,0.000057728274,0.0020263575],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99512494,0.00064706046,0.0021900467,0.00028457382,0.0012852767,0.00046808255],"domain_scores_gemma":[0.99585897,0.00037153068,0.0024855146,0.00041935476,0.00034719185,0.0005174221],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0019521541,0.00038897808,0.0026688548,0.00049388397,0.00007522616,0.00007294673,0.0010984675,0.002120801,0.00039569457],"category_scores_gemma":[0.00028771986,0.00025486085,0.00034886866,0.0008256324,0.00016127039,0.000102136844,0.000075579046,0.002662044,0.00020140142],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009908514,0.0001134827,0.000051391697,0.0030342243,0.00040160425,0.00025566664,0.00013768661,2.2364503e-7,1.4799602e-8,0.0023425762,0.11919572,0.8744575],"study_design_scores_gemma":[0.00039433435,0.0003164684,0.0000018047899,0.018547434,0.00017917907,0.0035538473,0.00038628254,0.000014896265,4.6933453e-9,0.0000050842486,0.9763836,0.00021706635],"about_ca_topic_score_codex":0.00016307183,"about_ca_topic_score_gemma":0.000022257707,"teacher_disagreement_score":0.87424046,"about_ca_system_score_codex":0.00039558086,"about_ca_system_score_gemma":0.0012904876,"threshold_uncertainty_score":0.99999034},"labels":[],"label_agreement":null},{"id":"W1992180821","doi":"10.1007/s10916-014-0099-9","title":"Understanding Critical Barriers to Implementing a Clinical Information System in a Nursing Home Through the Lens of a Socio-Technical Perspective","year":2014,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; McMaster University","funders":"","keywords":"Workflow; Health informatics; Information system; Health care; Knowledge management; Usability; Government (linguistics); Nursing; Process management; Computer science; Business; Medicine; Human–computer interaction; Engineering; Political science; Public health","score_opus":0.16454072211478035,"score_gpt":0.5265240246499545,"score_spread":0.3619833025351742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992180821","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21689083,0.0013479384,0.6379481,0.10167953,0.01586671,0.00475918,0.0000282068,0.00015249441,0.021327006],"genre_scores_gemma":[0.99718773,0.000038994072,0.00021590583,0.0007547484,0.0017189266,0.000052428306,6.945079e-7,0.000023776493,0.0000068168133],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9854039,0.005669362,0.005206347,0.00021271815,0.002393764,0.001113915],"domain_scores_gemma":[0.9893148,0.0069811167,0.001826994,0.0003234793,0.0007109159,0.0008426724],"candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03792272,0.00020539867,0.001219904,0.0002881642,0.00061716815,0.000034321907,0.0006655592,0.00067557784,0.00006241072],"category_scores_gemma":[0.02059875,0.00013490177,0.00025438276,0.0005648533,0.00026719444,0.00046176018,0.00012185943,0.0029177603,0.000025989311],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036062926,0.00010191478,0.02646514,0.003171359,0.00010657592,0.000019415245,0.047713995,0.000045774428,0.000018445277,0.9082574,0.013065658,0.00067369203],"study_design_scores_gemma":[0.0061788103,0.0020575812,0.004548067,0.04407099,0.00014959672,0.0005783771,0.90590787,0.010683735,0.0000014532086,0.0041556684,0.021258865,0.00040900375],"about_ca_topic_score_codex":0.0010177847,"about_ca_topic_score_gemma":0.00015631477,"teacher_disagreement_score":0.9041017,"about_ca_system_score_codex":0.0052675484,"about_ca_system_score_gemma":0.0034395251,"threshold_uncertainty_score":0.99938256},"labels":[],"label_agreement":null},{"id":"W1993841996","doi":"10.1007/s10916-013-9963-2","title":"Adding Intelligence to Mobile Asset Management in Hospitals: The True Value of RFID","year":2013,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Radio-frequency identification; Asset (computer security); Asset management; Health care; Business; Identification (biology); Key (lock); Productivity; Health informatics; Process management; Computer science; Knowledge management; Risk analysis (engineering); Operations management; Computer security; Finance; Engineering","score_opus":0.06828151264032639,"score_gpt":0.47475013034445873,"score_spread":0.40646861770413234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993841996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9464629,0.0027286836,0.0055437232,0.033492655,0.0056803823,0.0037793468,0.000015292939,0.000016024364,0.0022809485],"genre_scores_gemma":[0.997201,0.0006258693,0.00020868654,0.0009684955,0.0005436993,0.00027675836,8.68725e-7,0.000010293186,0.0001642798],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99415964,0.0017810805,0.0020871228,0.00011567718,0.0014844004,0.0003720585],"domain_scores_gemma":[0.9965604,0.0017999476,0.0007103649,0.0002624875,0.00027786687,0.0003889617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009691642,0.000102534934,0.00047574914,0.00014216805,0.00014856843,0.000011214113,0.00070500764,0.00024097647,0.0006088661],"category_scores_gemma":[0.0010649799,0.000059278245,0.000088012275,0.00032997312,0.000054288546,0.00010529836,0.00014991974,0.0011055372,0.0001599231],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004392128,0.00092573225,0.13889752,0.021123841,0.00067453965,0.00044880007,0.0785898,0.0057498394,0.000066868226,0.269133,0.13801572,0.3459351],"study_design_scores_gemma":[0.0019280192,0.0024303498,0.11727115,0.043600593,0.0000952637,0.00016034995,0.6009127,0.0118027795,0.000037966733,0.0073630256,0.21378876,0.00060905365],"about_ca_topic_score_codex":0.0020229402,"about_ca_topic_score_gemma":0.000057766076,"teacher_disagreement_score":0.5223229,"about_ca_system_score_codex":0.00021590231,"about_ca_system_score_gemma":0.0002481896,"threshold_uncertainty_score":0.6666657},"labels":[],"label_agreement":null},{"id":"W2002883815","doi":"10.1007/s10916-015-0203-9","title":"A Fuzzy Probabilistic Method for Medical Diagnosis","year":2015,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Canada","funders":"","keywords":"Probabilistic logic; Fuzzy logic; Computer science; Fuzzy set; Health informatics; Set (abstract data type); Composition (language); Medical diagnosis; Artificial intelligence; Data mining; Machine learning; Statistics; Mathematics; Medicine; Public health; Radiology","score_opus":0.06111766369032299,"score_gpt":0.39876932241852514,"score_spread":0.33765165872820213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002883815","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018492326,0.0024844813,0.9216279,0.06781945,0.0054087853,0.0003780985,0.0000015971029,0.00005783537,0.00037266733],"genre_scores_gemma":[0.7168196,0.00024039272,0.2674981,0.0039035573,0.010739882,0.00037541188,0.0000030796243,0.00007651093,0.00034350713],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9925806,0.001067344,0.0011850545,0.00023990223,0.004561864,0.00036523378],"domain_scores_gemma":[0.993456,0.0029029918,0.00063440425,0.00034642528,0.0007231355,0.0019370487],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.019082306,0.00014237622,0.0005650581,0.00014453425,0.00006549836,0.00012597746,0.002201229,0.00033081745,0.00002926399],"category_scores_gemma":[0.03290739,0.00009595029,0.00016258264,0.00030143227,0.000052549298,0.00019086347,0.00022057808,0.0008273168,0.000015892185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012987634,0.000739605,0.022828586,0.0029307005,0.00027130122,0.0017850571,0.004276977,0.0024938884,0.0000025832828,0.29908797,0.30784118,0.35761228],"study_design_scores_gemma":[0.00297938,0.0016305407,0.00048760962,0.0020831458,0.000036341044,0.0053276476,0.00023569184,0.7284973,0.0000045054785,0.012086363,0.24634899,0.0002824661],"about_ca_topic_score_codex":0.00030715144,"about_ca_topic_score_gemma":0.000017649463,"teacher_disagreement_score":0.7260034,"about_ca_system_score_codex":0.00018595527,"about_ca_system_score_gemma":0.001972852,"threshold_uncertainty_score":0.97523886},"labels":[],"label_agreement":null},{"id":"W2005142741","doi":"10.1007/s10916-009-9268-7","title":"A Tree-Based Decision Model to Support Prediction of the Severity of Asthma Exacerbations in Children","year":2009,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Ottawa; California HIV/AIDS Research Program","keywords":"Triage; Medicine; Emergency department; Asthma; Brier score; Health informatics; Asthma exacerbations; Decision tree; Guideline; Clinical Practice; Medical record; Data mining; Emergency medicine; Machine learning; Computer science; Internal medicine; Physical therapy","score_opus":0.01969736355246104,"score_gpt":0.30022682920096544,"score_spread":0.2805294656485044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005142741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98525554,0.0005210291,0.009936247,0.0032576208,0.0003960677,0.0002905197,0.000023871671,0.0000040637487,0.00031506515],"genre_scores_gemma":[0.999256,0.000117768366,0.00023880544,0.00016982673,0.00017849263,0.000002075495,0.0000018498673,0.000003942484,0.00003122055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975218,0.00006873898,0.0009004883,0.000077438126,0.0013263052,0.00010523424],"domain_scores_gemma":[0.9990672,0.00006375747,0.0003024005,0.00014424436,0.0002739075,0.00014853125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011909785,0.00007604649,0.0004024743,0.00013396471,0.000026385962,0.0000021916328,0.00016569324,0.00010690201,0.000030183197],"category_scores_gemma":[0.0008903533,0.00004372058,0.00016027017,0.00029901753,0.00004048427,0.000044268818,0.000020708581,0.00024534637,5.014154e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012391103,0.002218694,0.79039884,0.00041242657,0.00038857403,0.000051203784,0.0024127008,0.01268499,0.0042910594,0.00040403908,0.10968909,0.07580926],"study_design_scores_gemma":[0.0034539837,0.0018753376,0.961048,0.0035744715,0.00012153414,0.00027606715,0.00038884598,0.027779004,0.00079812884,0.00012130637,0.0004882375,0.0000750585],"about_ca_topic_score_codex":0.000044444372,"about_ca_topic_score_gemma":0.000013312643,"teacher_disagreement_score":0.17064917,"about_ca_system_score_codex":0.000056355137,"about_ca_system_score_gemma":0.00031553474,"threshold_uncertainty_score":0.17828737},"labels":[],"label_agreement":null},{"id":"W2011576757","doi":"10.1007/s10916-009-9401-7","title":"A Literature Review on Distance Knowledge Exchange in Healthcare Groups: What Can We Learn From the ICT Literature?","year":2009,"lang":"en","type":"review","venue":"Journal of Medical Systems","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Children's Hospital; University of Victoria","funders":"University of Victoria","keywords":"Information and Communications Technology; Knowledge management; Health informatics; Information exchange; Process (computing); ICTS; Health care; Business; Computer science; Political science; World Wide Web","score_opus":0.06983884039952308,"score_gpt":0.38485772157556025,"score_spread":0.31501888117603716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011576757","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[9.520731e-7,0.9698553,0.000006674294,0.022617945,0.0047464715,0.0012173867,0.000023975448,0.000019094266,0.0015121937],"genre_scores_gemma":[0.00004662898,0.9889033,0.0000028178767,0.0007566756,0.008025821,0.00004612026,0.00004312299,0.000032203232,0.0021433034],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99038666,0.0044527324,0.0018097841,0.00040866426,0.0023708625,0.0005712871],"domain_scores_gemma":[0.9961926,0.001118929,0.001424339,0.00043208402,0.00028531151,0.00054676895],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00942288,0.0004747356,0.002607869,0.0002724206,0.000289929,0.0013798627,0.0021313226,0.0008434134,0.00007517054],"category_scores_gemma":[0.0014676175,0.00025640414,0.00077827857,0.0018021509,0.00011457549,0.0004076477,0.0001323586,0.0033180024,0.00004082923],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005911163,0.00007425056,0.000007698944,0.055157784,0.000074727606,0.00054920034,0.010134564,2.7938347e-8,7.719526e-10,0.0031715683,0.031032486,0.8997918],"study_design_scores_gemma":[0.000117021744,0.000040424326,0.0000020758694,0.46394056,0.00009840516,0.000020199617,0.0004725404,0.0000015930569,4.2235518e-10,0.00007460397,0.53510255,0.00013004152],"about_ca_topic_score_codex":0.00022955559,"about_ca_topic_score_gemma":0.0028007422,"teacher_disagreement_score":0.8996617,"about_ca_system_score_codex":0.0007621399,"about_ca_system_score_gemma":0.0007433096,"threshold_uncertainty_score":0.9999888},"labels":[],"label_agreement":null},{"id":"W2019537043","doi":"10.1007/s10916-014-0057-6","title":"A Modular and Programmable Development Platform for Capsule Endoscopy System","year":2014,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Gastrointestinal Bleeding Diagnosis and Treatment","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Grand Challenges Canada; University of Saskatchewan","keywords":"Computer science; Computer hardware; Capsule endoscopy; Modular design; Software; Embedded system; Image processing; USB; Interface (matter); Field-programmable gate array; Artificial intelligence; Medicine","score_opus":0.023903014862064684,"score_gpt":0.2802407492073723,"score_spread":0.2563377343453076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019537043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.969593,0.0020032385,0.025301363,0.0012422549,0.00079601153,0.00079191953,0.0000016993444,0.000034695368,0.00023582189],"genre_scores_gemma":[0.98655754,0.000027581847,0.012664153,0.000037462192,0.0005543339,0.000061350715,0.0000027688204,0.000016527445,0.00007829826],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99794585,0.000025967242,0.0006815397,0.00013133344,0.0009580788,0.0002572061],"domain_scores_gemma":[0.99862385,0.00014554389,0.00032327953,0.00009311873,0.00022920115,0.0005850104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018874931,0.00013500832,0.000551719,0.00008851902,0.000074539246,0.000047690453,0.000095290365,0.00009606414,0.0000062230147],"category_scores_gemma":[0.00040901988,0.00008376378,0.00009400385,0.00005728805,0.000035825837,0.00005125003,0.000023673168,0.0001685035,0.000004829575],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037525434,0.008634848,0.42923236,0.05816648,0.007943879,0.0049974485,0.003917837,0.0004349643,0.013069992,0.055607736,0.04058705,0.37365487],"study_design_scores_gemma":[0.07512296,0.033045873,0.042040747,0.08711642,0.0027692658,0.086169094,0.0064135003,0.15714501,0.010767578,0.00018931569,0.4979944,0.0012258387],"about_ca_topic_score_codex":0.000037715738,"about_ca_topic_score_gemma":0.0000014585372,"teacher_disagreement_score":0.45740736,"about_ca_system_score_codex":0.00017865947,"about_ca_system_score_gemma":0.00020708956,"threshold_uncertainty_score":0.34157878},"labels":[],"label_agreement":null},{"id":"W2022393735","doi":"10.1007/s10916-005-9002-z","title":"Leading Knowledge Producers Within the Biomedical Informatics Community","year":2006,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Health informatics; Informatics; Data science; Computer science; Knowledge management; Medicine; Political science; Nursing; Public health","score_opus":0.47572846670763463,"score_gpt":0.556831645855911,"score_spread":0.08110317914827642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022393735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9603018,0.0030770167,0.014865045,0.0070222393,0.006291087,0.00024552864,0.0000067117016,0.000014521852,0.0081760045],"genre_scores_gemma":[0.99773186,0.000040449057,0.00013421525,0.00007124317,0.0009883061,0.000002022867,0.0000010302791,0.0000064957912,0.00102436],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9702623,0.0017397517,0.0028529516,0.000116419156,0.024596227,0.00043235038],"domain_scores_gemma":[0.98263985,0.01102693,0.0016225333,0.00067645265,0.0032140783,0.0008201403],"candidate_categories":["metaresearch","bibliometrics","scholarly_communication","open_science"],"consensus_categories":["metaresearch","bibliometrics"],"category_scores_codex":[0.1814051,0.00012228847,0.00049208716,0.013438943,0.0004931229,0.0017781892,0.005385779,0.00022170412,0.000121594014],"category_scores_gemma":[0.08751134,0.000052640487,0.00019186497,0.0529678,0.00056131865,0.00044704403,0.0006019184,0.0018492232,0.00021671916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003766317,0.00094082084,0.027677525,0.00012996394,0.00008265726,0.000085686224,0.003819391,0.00029092102,0.00023768126,0.0061773965,0.90559113,0.05492918],"study_design_scores_gemma":[0.0025891776,0.0011225317,0.021032382,0.0006556016,0.000039642404,0.0019168473,0.032639988,0.093772896,0.0002639535,0.005293205,0.84028065,0.00039312456],"about_ca_topic_score_codex":0.0003511331,"about_ca_topic_score_gemma":0.000028195944,"teacher_disagreement_score":0.09389377,"about_ca_system_score_codex":0.00018516016,"about_ca_system_score_gemma":0.0009612004,"threshold_uncertainty_score":0.9999956},"labels":[],"label_agreement":null},{"id":"W2024809517","doi":"10.1007/s10916-011-9804-0","title":"RFID-Enabled Traceability System for Consignment and High Value Products: A Case Study in the Healthcare Sector","year":2011,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"RFID technology advancements","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université du Québec à Montréal","funders":"","keywords":"Traceability; Radio-frequency identification; Supply chain; Business; Consignment; Operations management; Computer science; Risk analysis (engineering); Computer security; Engineering; Marketing; Software engineering","score_opus":0.04282809584188097,"score_gpt":0.2778391440519697,"score_spread":0.23501104821008872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024809517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926002,0.0021086237,0.0016330414,0.0005502838,0.001324891,0.0017056434,0.000005554096,0.000061852785,0.000009901917],"genre_scores_gemma":[0.9993955,0.00002228015,0.00027374603,0.000013048927,0.00014921726,0.00012814943,2.2628085e-7,0.000015358944,0.0000024587307],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99781644,0.00032918563,0.0008495872,0.00014819716,0.00061985827,0.00023670406],"domain_scores_gemma":[0.9991056,0.00022223518,0.0001872329,0.00024990065,0.00010616201,0.00012891079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044515594,0.00013410345,0.00043203504,0.0000997176,0.000055717886,0.00001709639,0.0002702752,0.0001491243,0.0000041492976],"category_scores_gemma":[0.00035678997,0.00008326958,0.00003127831,0.00016202178,0.000053903943,0.00008907605,0.000023107386,0.00045407936,6.356139e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018933336,0.010879565,0.56118786,0.079769626,0.004865302,0.12458486,0.16184698,0.0072526783,0.0012670637,0.020787034,0.0095825875,0.016083114],"study_design_scores_gemma":[0.042135343,0.013730764,0.040647637,0.008938999,0.0008371984,0.17892544,0.6392699,0.06795615,0.0013735944,0.0012689008,0.0032165262,0.0016995582],"about_ca_topic_score_codex":0.0005038861,"about_ca_topic_score_gemma":0.00008266003,"teacher_disagreement_score":0.52054024,"about_ca_system_score_codex":0.00025163917,"about_ca_system_score_gemma":0.00007552587,"threshold_uncertainty_score":0.3395635},"labels":[],"label_agreement":null},{"id":"W2031467562","doi":"10.1007/s10916-007-9054-3","title":"Research-Based-Decision-Making in Canadian Health Organizations: A Behavioural Approach","year":2007,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Health informatics; Computer science; Nursing research; Data science; Management science; Knowledge management; Public health; Medicine; Nursing; Engineering","score_opus":0.6328356090265547,"score_gpt":0.7139882363473831,"score_spread":0.0811526273208284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031467562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60296214,0.0016296261,0.16826375,0.20975545,0.0085362345,0.0041236444,0.00008248168,0.00006262328,0.004584032],"genre_scores_gemma":[0.98975265,0.00003013124,0.0017317628,0.007692785,0.0007124506,0.00001420447,0.0000024553217,0.000019465248,0.000044093045],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98806494,0.002983886,0.0029259946,0.00018884733,0.004170912,0.0016653872],"domain_scores_gemma":[0.9889963,0.00582935,0.0008742017,0.00023267967,0.0012925284,0.0027749022],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.100485876,0.00010261071,0.000425202,0.0017869979,0.00088526856,0.00003427093,0.00074986,0.00029081234,0.0005642216],"category_scores_gemma":[0.02349488,0.00008010996,0.000035838566,0.0028825034,0.00016294641,0.00018305687,0.00006209055,0.0022339756,0.000087486296],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00008075861,0.00019347003,0.7325508,0.00085774803,0.000013734436,0.00047331004,0.027169794,0.00026990744,0.000004042854,0.008937049,0.21597105,0.01347834],"study_design_scores_gemma":[0.0059969663,0.0007236406,0.62382305,0.014881601,0.000009595292,0.0004969985,0.093557574,0.009899342,0.0000013038187,0.00050817727,0.24967615,0.00042558726],"about_ca_topic_score_codex":0.36030662,"about_ca_topic_score_gemma":0.34855524,"teacher_disagreement_score":0.38679048,"about_ca_system_score_codex":0.0038466048,"about_ca_system_score_gemma":0.031819884,"threshold_uncertainty_score":0.99997747},"labels":[],"label_agreement":null},{"id":"W2042789973","doi":"10.1007/s10916-008-9141-0","title":"Assessing the Sensibility of Two Clinical Decision Support Systems","year":2008,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Sensibility; Health informatics; Decision support system; Computer science; Clinical decision support system; Artificial intelligence; Medicine; Nursing; Public health; Political science","score_opus":0.24103101874031277,"score_gpt":0.5929094916074528,"score_spread":0.35187847286714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042789973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9502046,0.0041339966,0.014766458,0.002224614,0.025452439,0.0013627468,0.0000060683747,0.000039567025,0.0018095203],"genre_scores_gemma":[0.99205273,0.0008499775,0.00017578535,0.00033174557,0.0060857553,0.000020720958,0.0000015882102,0.00004001886,0.00044166556],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9745038,0.010513181,0.008877695,0.0003408622,0.0047939415,0.0009704927],"domain_scores_gemma":[0.97678435,0.014460706,0.0052852402,0.00081445277,0.0015590015,0.0010962434],"candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.0700069,0.0002602909,0.0019172446,0.00018081855,0.0007370783,0.00002918522,0.0010579916,0.00084736524,0.00020459459],"category_scores_gemma":[0.011335489,0.00014164107,0.00043035502,0.00045405288,0.00038815688,0.0003073438,0.0001739669,0.003982347,0.000119983444],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029758038,0.000633295,0.80523956,0.0038137515,0.0003857901,0.0009599671,0.002738171,0.00015149411,0.00009179918,0.0019761831,0.17137235,0.012340022],"study_design_scores_gemma":[0.026573818,0.004645129,0.23259714,0.041499693,0.00048203513,0.02582907,0.035065304,0.049106956,0.000020038935,0.0005148456,0.5824516,0.0012144009],"about_ca_topic_score_codex":0.0020714873,"about_ca_topic_score_gemma":0.00008191516,"teacher_disagreement_score":0.57264245,"about_ca_system_score_codex":0.00063241157,"about_ca_system_score_gemma":0.009354403,"threshold_uncertainty_score":0.9983155},"labels":[],"label_agreement":null},{"id":"W2046178091","doi":"10.1007/s10916-014-0022-4","title":"Impact of Technological Innovation on a Nursing Home Performance and on the Medication-use Process Safety","year":2014,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"SAFER; Pharmacy; Health care; Patient safety; Process (computing); Business; Nursing; Government (linguistics); Distribution (mathematics); Unit (ring theory); Medicine; Medical emergency; Process management; Computer science; Psychology; Computer security","score_opus":0.10645266247922336,"score_gpt":0.4284259517132659,"score_spread":0.32197328923404256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046178091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861895,0.00009181985,0.0005777836,0.012155825,0.00019930692,0.00020475473,0.0000012101394,0.000008908267,0.0005709324],"genre_scores_gemma":[0.9992314,0.00019634332,0.000013220969,0.00036040024,0.00017413795,0.000002375265,0.0000015371795,0.000005987317,0.000014593056],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975684,0.00015106802,0.0006631032,0.00008413377,0.0014068198,0.00012645256],"domain_scores_gemma":[0.9976573,0.0012167988,0.0006173901,0.00012672742,0.00022162446,0.00016017561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029850446,0.00009224342,0.0003289109,0.00015528017,0.000056995286,0.000016304364,0.00014499541,0.00015038646,0.000045889148],"category_scores_gemma":[0.0050896555,0.000040365303,0.000056885663,0.0003090313,0.00021096425,0.00011845171,0.000010901885,0.00070255756,0.000003806209],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006614672,0.0025918009,0.7698005,0.0014383881,0.0006401935,0.00004693818,0.0008184164,0.00028812024,0.00096467684,0.050991952,0.0033178169,0.16248654],"study_design_scores_gemma":[0.007888735,0.012199686,0.8574867,0.015622884,0.00032026062,0.0018270487,0.0005650755,0.08935564,0.00039591157,0.0005644938,0.013490457,0.0002830887],"about_ca_topic_score_codex":0.000003571202,"about_ca_topic_score_gemma":3.8095436e-8,"teacher_disagreement_score":0.16220345,"about_ca_system_score_codex":0.00007988883,"about_ca_system_score_gemma":0.00012250288,"threshold_uncertainty_score":0.6093161},"labels":[],"label_agreement":null},{"id":"W2050220558","doi":"10.1007/s10916-009-9334-1","title":"An Automated Computerized Auscultation and Diagnostic System for Pulmonary Diseases","year":2009,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Auscultation; Crackles; Respiratory sounds; Heart sounds; Computer science; Stethoscope; Speech recognition; Noise (video); Medicine; Health informatics; Artificial intelligence; Radiology; Pathology; Physical examination; Asthma; Cardiology","score_opus":0.010484363807671815,"score_gpt":0.3205831912377386,"score_spread":0.3100988274300668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050220558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8665155,0.006973227,0.12039591,0.0027296843,0.0010988024,0.0014121654,0.00004053203,0.00076017855,0.00007397989],"genre_scores_gemma":[0.99807334,0.00024360146,0.0008956179,0.000119382144,0.0006161309,0.000016192502,0.000023790177,0.000008230028,0.0000037189282],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99832094,0.00013217508,0.00060025277,0.00011461232,0.0007018921,0.00013014766],"domain_scores_gemma":[0.9984781,0.00036683964,0.00031603107,0.00009000959,0.00027177628,0.00047721647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078398007,0.00010670907,0.0004774694,0.00017310688,0.000062907464,0.00004511273,0.0001034102,0.00013072693,0.0000021596404],"category_scores_gemma":[0.0005265222,0.0000731036,0.00015461828,0.00015066228,0.000040945833,0.0001630983,0.0000050502044,0.00012459462,5.040452e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008907476,0.00953129,0.08136677,0.028116947,0.004039481,0.011810925,0.0043720077,0.0007458904,0.110574834,0.014055162,0.07457068,0.6519085],"study_design_scores_gemma":[0.014621966,0.0092989635,0.61327463,0.018088205,0.001602587,0.014336235,0.0027742032,0.31862953,0.001491515,0.00043394306,0.0048298123,0.00061841897],"about_ca_topic_score_codex":0.000007963729,"about_ca_topic_score_gemma":6.869566e-8,"teacher_disagreement_score":0.6512901,"about_ca_system_score_codex":0.00004031808,"about_ca_system_score_gemma":0.00008622476,"threshold_uncertainty_score":0.2981078},"labels":[],"label_agreement":null},{"id":"W2058140704","doi":"10.1007/s10916-007-9105-9","title":"A Co-payment for Consultant Services: Primary Care Physicians’ Referral Actualization","year":2007,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institutes of Health; Israel National Institute for Health Policy Research","keywords":"Payment; Copayment; Referral; Family medicine; Prospective payment system; Medicine; Primary care; Quarter (Canadian coin); Medical emergency; Nursing; Health care; Health insurance; Business; Finance","score_opus":0.02600482203823658,"score_gpt":0.30708719681461066,"score_spread":0.2810823747763741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058140704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8787052,0.008285278,0.08082175,0.008712627,0.01208506,0.0022928864,0.000026753813,0.00024928397,0.008821143],"genre_scores_gemma":[0.9934316,0.000042100346,0.00006513699,0.0017301732,0.0046123764,0.0000099940935,0.00004185468,0.000022802675,0.0000439261],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99740255,0.00002165831,0.0010238929,0.00013980723,0.0010846845,0.00032741437],"domain_scores_gemma":[0.99798805,0.000102357604,0.0010009608,0.00013578618,0.0007189928,0.000053870535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024483893,0.0001356265,0.0004600845,0.00024304522,0.00011663477,0.00009569575,0.00035135337,0.00029026967,0.000021228425],"category_scores_gemma":[0.00015468738,0.00009970663,0.00010857297,0.00024998735,0.00003989096,0.00030319963,0.00003076395,0.0002442033,0.000014880061],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013388863,0.0009695498,0.05626907,0.08541968,0.0009520654,0.0010816763,0.0050365967,0.00006520588,0.003718203,0.15031262,0.06373818,0.6310983],"study_design_scores_gemma":[0.0020505053,0.000106189815,0.0018278256,0.0025576705,0.000053134885,0.00009506057,0.0084186895,0.0008080352,0.000036362104,0.00008606435,0.98379004,0.00017040476],"about_ca_topic_score_codex":0.00087014574,"about_ca_topic_score_gemma":0.00018088387,"teacher_disagreement_score":0.9200519,"about_ca_system_score_codex":0.000186173,"about_ca_system_score_gemma":0.00012790418,"threshold_uncertainty_score":0.40659183},"labels":[],"label_agreement":null},{"id":"W2059616643","doi":"10.1007/s10916-006-9015-2","title":"Analysis of a territorial approach to the delivery of nursing home care services based on historical data","year":2006,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre de Santé et de Services Sociaux de Chicoutimi; Polytechnique Montréal","funders":"","keywords":"Work (physics); Population; Nursing; Service (business); Business; Health care; Health informatics; Health services; Service delivery framework; Nursing research; Public health; Medicine; Marketing; Environmental health; Economic growth; Economics","score_opus":0.06011355771528796,"score_gpt":0.38873277074138185,"score_spread":0.32861921302609387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059616643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9549203,0.008926819,0.0084778415,0.0036889205,0.017631352,0.0007956837,0.00019801818,0.00002849114,0.0053325878],"genre_scores_gemma":[0.9933765,0.000017543905,0.00007504802,0.0001729747,0.0062511135,0.000004520389,0.000041685715,0.0000109484645,0.000049643008],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99533385,0.000900325,0.0012204027,0.00016031727,0.0021580267,0.0002271069],"domain_scores_gemma":[0.9973238,0.000609793,0.00096953864,0.00042474514,0.00046557758,0.00020655767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023267935,0.00011119546,0.00082041876,0.0002698559,0.00020796976,0.000010302004,0.0009786958,0.00028314686,0.000022763434],"category_scores_gemma":[0.00017140504,0.000066855355,0.0002014337,0.0005288102,0.000047071957,0.00006784163,0.000072242045,0.0005677284,0.000001322243],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017837419,0.0034430944,0.43597683,0.009111675,0.003342561,0.00012260608,0.2693036,0.009336088,0.00014618224,0.0014209131,0.25386044,0.012152273],"study_design_scores_gemma":[0.008547102,0.0016357956,0.074207805,0.023220133,0.0094794035,0.00001698803,0.5434108,0.1381134,0.000017180253,0.00010555902,0.20032321,0.00092265895],"about_ca_topic_score_codex":0.014847361,"about_ca_topic_score_gemma":0.0005255605,"teacher_disagreement_score":0.36176902,"about_ca_system_score_codex":0.0005982594,"about_ca_system_score_gemma":0.00045951424,"threshold_uncertainty_score":0.99171287},"labels":[],"label_agreement":null},{"id":"W2068848953","doi":"10.1007/s10916-011-9788-9","title":"An Expert Support System for Breast Cancer Diagnosis using Color Wavelet Features","year":2011,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"AI in cancer detection","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Saskatchewan Health Research Foundation; Government of Canada","keywords":"Artificial intelligence; Support vector machine; Breast cancer; Pattern recognition (psychology); Computer science; Classifier (UML); Naive Bayes classifier; Wavelet; Artificial neural network; Computer-aided diagnosis; Cancer; Medicine","score_opus":0.052460414810077474,"score_gpt":0.32570621915030196,"score_spread":0.2732458043402245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068848953","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.079534695,0.0028808743,0.8869604,0.0034631165,0.026013676,0.0007662691,0.00006294366,0.00015930072,0.00015873332],"genre_scores_gemma":[0.99105823,0.00012638452,0.0056815394,0.00023517187,0.0027343368,0.00012547878,3.0545482e-7,0.000020674326,0.000017871293],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971959,0.00018017394,0.00070117984,0.0002331947,0.0013778072,0.00031172627],"domain_scores_gemma":[0.9980356,0.00012335974,0.00065956987,0.00029138042,0.0003932237,0.00049684395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018699197,0.00015295172,0.00042546936,0.00013766864,0.00012694424,0.00012577078,0.0012275546,0.00023518717,0.000076314536],"category_scores_gemma":[0.000058609465,0.000109556306,0.00014607619,0.00020110064,0.00005034485,0.0006118935,0.00006669378,0.00026204652,0.000002269843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015370212,0.001963524,0.018165234,0.0044970443,0.0019289758,0.0027705529,0.025917882,0.00083908107,0.005732922,0.019655567,0.26989844,0.6470938],"study_design_scores_gemma":[0.013278738,0.007856537,0.031772662,0.015508553,0.00050879293,0.08668379,0.009481371,0.7185326,0.029453091,0.0003118819,0.08395589,0.00265607],"about_ca_topic_score_codex":0.0012353447,"about_ca_topic_score_gemma":0.000032473177,"teacher_disagreement_score":0.9115235,"about_ca_system_score_codex":0.000552783,"about_ca_system_score_gemma":0.0005465303,"threshold_uncertainty_score":0.44675764},"labels":[],"label_agreement":null},{"id":"W2071589819","doi":"10.1007/s10916-009-9408-0","title":"Technology Enabled Knowledge Exchange: Development of a Conceptual Framework","year":2009,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Children's Hospital; University of Victoria","funders":"Canadian Health Services Research Foundation","keywords":"Linkage (software); Knowledge management; Computer science; Conceptual framework; Information exchange; Context (archaeology); Process (computing); Data exchange; Social exchange theory; Conceptual model; Domain knowledge; Process management; World Wide Web; Business; Psychology","score_opus":0.04043869926172956,"score_gpt":0.34896246470391823,"score_spread":0.3085237654421887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071589819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71321774,0.04575913,0.04708211,0.014738126,0.009660991,0.0009466055,0.0000010316721,0.00016942188,0.16842484],"genre_scores_gemma":[0.99658984,0.00019575594,0.0007687066,0.000031164484,0.0010376897,0.0000027525562,1.777428e-7,0.0000047309177,0.0013691644],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974951,0.00018638132,0.0007545607,0.00009746058,0.0011834493,0.00028305527],"domain_scores_gemma":[0.9987732,0.00017096424,0.00043473163,0.000094798525,0.0002874253,0.00023888999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042961785,0.00008814573,0.00039534702,0.0002810123,0.00017082428,0.000030690688,0.00071470626,0.00034109782,0.0003376662],"category_scores_gemma":[0.0015759155,0.00006876372,0.00007509986,0.0005464128,0.00029863705,0.00009451399,0.00007305928,0.00039215843,0.000028709788],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006710083,0.0007721642,0.004345161,0.0003486687,0.00028766197,0.00018542224,0.18463834,0.000004643373,0.00017999105,0.45147493,0.022334455,0.33536145],"study_design_scores_gemma":[0.00094332744,0.00022001233,0.0005000922,0.0021216143,0.000036004683,0.000016314669,0.053362206,0.000094081384,0.0001318522,0.0023760279,0.9400176,0.00018089678],"about_ca_topic_score_codex":0.00001506722,"about_ca_topic_score_gemma":0.0000419993,"teacher_disagreement_score":0.9176831,"about_ca_system_score_codex":0.00012922761,"about_ca_system_score_gemma":0.0005664801,"threshold_uncertainty_score":0.3697208},"labels":[],"label_agreement":null},{"id":"W2071973191","doi":"10.1007/s10916-014-0074-5","title":"Past and Next 10 Years of Medical Informatics","year":2014,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Medizinischen Hochschule Hannover","keywords":"Health informatics; Health care; Context (archaeology); Informatics; Health Administration Informatics; Medical education; Work (physics); Set (abstract data type); Medicine; Knowledge management; Nursing; Computer science; Public health; Political science; Engineering","score_opus":0.04905539660050259,"score_gpt":0.4235143218010868,"score_spread":0.3744589252005842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071973191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9606094,0.005206913,0.006941094,0.014662646,0.007945547,0.0007871044,0.0000049082723,0.000040609455,0.003801826],"genre_scores_gemma":[0.9924445,0.0014290926,0.00013911532,0.00101585,0.004450814,0.000014942142,0.0000017049991,0.00002939709,0.0004745502],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9904201,0.0014323231,0.0033084508,0.000089220106,0.004176985,0.00057292],"domain_scores_gemma":[0.99368554,0.0024112575,0.001998622,0.00023616501,0.0003490923,0.0013193092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020802012,0.00013397097,0.0009243548,0.0001894243,0.00012279763,0.00001569739,0.00063067285,0.0008311448,0.0007746889],"category_scores_gemma":[0.004510635,0.000097100405,0.00008874162,0.00019590724,0.0001321052,0.00016008402,0.00013697598,0.0018597182,0.00011468634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039769383,0.00048008992,0.06873923,0.032915406,0.0005793946,0.00020353046,0.033356313,0.000016655167,0.000080447986,0.024141407,0.48730338,0.35178646],"study_design_scores_gemma":[0.0034664792,0.0007965237,0.0031169604,0.008940733,0.000035510213,0.00063254853,0.0064907656,0.0127145415,0.0000014968733,0.00006452267,0.9635879,0.0001520492],"about_ca_topic_score_codex":0.00049555313,"about_ca_topic_score_gemma":0.00004601444,"teacher_disagreement_score":0.4762845,"about_ca_system_score_codex":0.00017439321,"about_ca_system_score_gemma":0.0020714244,"threshold_uncertainty_score":0.84823},"labels":[],"label_agreement":null},{"id":"W2079522214","doi":"10.1007/s10916-010-9473-4","title":"Systematic Review of Factors Influencing the Adoption of Information and Communication Technologies by Healthcare Professionals","year":2010,"lang":"en","type":"review","venue":"Journal of Medical Systems","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":659,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec; McGill University; Université du Québec","funders":"Canadian Institutes of Health Research; Centre Hospitalier Universitaire de Québec","keywords":"Information and Communications Technology; Health informatics; Health professionals; Systematic review; Knowledge management; Health care; Limiting; Psychological intervention; ICTS; Perception; Informatics; Medicine; MEDLINE; Computer science; Nursing; Psychology; Public health; Political science; World Wide Web; Engineering","score_opus":0.06233576474680188,"score_gpt":0.4736168084494692,"score_spread":0.4112810437026673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079522214","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013315926,0.9898662,0.00007756244,0.0023533895,0.0011874757,0.0062701865,0.000056971425,0.000029365863,0.00002571912],"genre_scores_gemma":[0.00063810335,0.9986209,0.00002588865,0.0001396232,0.00009599095,0.0003690438,0.000058540907,0.000026603617,0.000025269173],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.979313,0.007460217,0.010217311,0.00013345694,0.002452034,0.0004239567],"domain_scores_gemma":[0.96966106,0.005428122,0.022451155,0.00083457516,0.0013964155,0.00022866677],"candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.025527632,0.00035254558,0.004947463,0.000374964,0.00032384633,0.0000130234075,0.0014386604,0.0018274228,0.000013805362],"category_scores_gemma":[0.012205404,0.00016966855,0.00030232075,0.0005678395,0.0001891109,0.00032295674,0.00024453484,0.004995653,0.000008218464],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002737031,0.000020810268,0.000035014204,0.9783274,0.00012280875,3.2264512e-7,0.00072884385,1.4317386e-8,2.9885206e-7,0.00057236466,0.0028269056,0.01736248],"study_design_scores_gemma":[0.00015540088,0.00011193404,0.000002607166,0.7949209,0.00044056674,0.00009117434,0.006074238,0.0000051784964,1.789534e-7,0.000012027099,0.19809136,0.0000944395],"about_ca_topic_score_codex":0.00050917035,"about_ca_topic_score_gemma":0.000028405038,"teacher_disagreement_score":0.19526446,"about_ca_system_score_codex":0.0005453781,"about_ca_system_score_gemma":0.0049320143,"threshold_uncertainty_score":0.9994684},"labels":[],"label_agreement":null},{"id":"W2085836874","doi":"10.1007/s10916-006-9048-6","title":"Power is Only Skin Deep: An Institutional Ethnography of Nurse-Driven Outpatient Psoriasis Treatment in the Era of Clinic Web Sites","year":2007,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Invisibility; Context (archaeology); Nursing; Work (physics); Medicine; Power (physics); Health care; Outpatient clinic; Ethnography; Sociology; Political science","score_opus":0.07367121860995249,"score_gpt":0.4628997965668685,"score_spread":0.389228577956916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085836874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903851,0.0017735462,0.0001588801,0.0037088254,0.0015711774,0.00042470635,0.00002028548,0.0000064180485,0.0019510324],"genre_scores_gemma":[0.9985957,0.0003565535,0.00017599744,0.0005011516,0.0003149959,0.000016751284,0.000005615883,0.000008400103,0.00002479544],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99372894,0.002158423,0.0023756714,0.0001075497,0.0013637977,0.0002656186],"domain_scores_gemma":[0.9951754,0.0021770915,0.0014779596,0.00039358332,0.00055749406,0.00021846952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071801525,0.00011728393,0.00048750805,0.00022161365,0.00019972434,0.000004635956,0.00065102975,0.00038052362,0.00032862648],"category_scores_gemma":[0.0006992182,0.00006839095,0.00021156744,0.00030566388,0.00017801533,0.00006622976,0.00003139692,0.0013127651,0.00001075482],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005794002,0.001682433,0.84450483,0.0004962564,0.00016917237,0.000027269734,0.13902935,0.000023798913,0.000025474992,0.0029323127,0.002456682,0.008073034],"study_design_scores_gemma":[0.009871608,0.0098770615,0.42264232,0.022763647,0.00018727772,0.00022865937,0.4851665,0.0036023236,0.00005330745,0.00032698223,0.044842567,0.0004377783],"about_ca_topic_score_codex":0.0010252745,"about_ca_topic_score_gemma":0.00061248074,"teacher_disagreement_score":0.42186248,"about_ca_system_score_codex":0.00021417749,"about_ca_system_score_gemma":0.0011414286,"threshold_uncertainty_score":0.57033837},"labels":[],"label_agreement":null},{"id":"W2086676200","doi":"10.1007/s10916-014-0079-0","title":"Developing a Semantic Web Model for Medical Differential Diagnosis Recommendation","year":2014,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Health informatics; Computer science; Semantic Web; World Wide Web; Differential (mechanical device); Information retrieval; Medicine; Public health; Pathology","score_opus":0.03790750180619841,"score_gpt":0.326552715103138,"score_spread":0.2886452132969396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086676200","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23109068,0.0004860348,0.7554727,0.011410611,0.0013992325,0.00009625974,0.0000048118864,0.000009416751,0.000030247264],"genre_scores_gemma":[0.99513555,0.0006886996,0.0018213349,0.00045782918,0.0017646884,0.000027459464,0.000023201572,0.000014717095,0.000066506465],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979244,0.00016289954,0.00067606673,0.00016487043,0.0008388545,0.0002329068],"domain_scores_gemma":[0.998886,0.00021623203,0.00030368986,0.000107084954,0.00014535533,0.00034163008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022353793,0.000121975485,0.00033649156,0.000059307706,0.00006589022,0.000030373049,0.00040022418,0.0004990542,0.0000491439],"category_scores_gemma":[0.004489305,0.00008460627,0.00014752397,0.000051111896,0.00010106017,0.000003487083,0.00008808935,0.00022123348,0.0000022653387],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005547776,0.0006706641,0.00798194,0.0014409946,0.00089384924,0.000038226473,0.00041081308,0.00017260801,0.005867042,0.0035812312,0.18356359,0.79482424],"study_design_scores_gemma":[0.004367827,0.0010294232,0.000334127,0.0012613666,0.00009466959,0.00047322296,0.00024733122,0.6528217,0.0010497773,0.00035844877,0.33760184,0.00036024704],"about_ca_topic_score_codex":0.000013603134,"about_ca_topic_score_gemma":0.000030925366,"teacher_disagreement_score":0.794464,"about_ca_system_score_codex":0.000026743086,"about_ca_system_score_gemma":0.00047763097,"threshold_uncertainty_score":0.5374442},"labels":[],"label_agreement":null},{"id":"W2088103637","doi":"10.1007/s10916-008-9188-y","title":"Combining Communication Technology Utilization and Organizational Innovation: Evidence from Canadian Healthcare Decision Makers","year":2008,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université Laval","funders":"","keywords":"Health care; Knowledge management; Information and Communications Technology; Decision support system; Business; Decision maker; Computer science; Management science; Economics","score_opus":0.06962262483444231,"score_gpt":0.295285352932822,"score_spread":0.22566272809837967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088103637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8668457,0.00885515,0.015039334,0.09780031,0.0038731867,0.0005442522,0.0000032060834,0.0001023824,0.0069364584],"genre_scores_gemma":[0.997317,0.00037964646,0.00033341924,0.0013724446,0.0005227661,0.0000028469055,0.000025471627,0.000011146812,0.000035213256],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99820095,0.000030167488,0.000739925,0.00011122193,0.00078700035,0.00013071582],"domain_scores_gemma":[0.99753076,0.00010396778,0.0005771307,0.00014713699,0.0016035974,0.00003740988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013775413,0.00008560359,0.00019304518,0.00094920443,0.00030998132,0.00010853048,0.0003263843,0.00015792242,0.00008692743],"category_scores_gemma":[0.001761442,0.000077792305,0.000014833062,0.0018926025,0.000081296916,0.00046354724,0.00010642428,0.00025176856,0.000032819735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003649578,0.00005493397,0.27543214,0.00018349539,0.000056396144,0.00007987234,0.0003384686,0.000017069513,0.000030534407,0.6852298,0.017711787,0.020829046],"study_design_scores_gemma":[0.0069738254,0.00015215414,0.17891964,0.013840007,0.00015037051,0.000819007,0.0121153025,0.062293217,0.0000413161,0.03097669,0.69264895,0.0010695064],"about_ca_topic_score_codex":0.0069641173,"about_ca_topic_score_gemma":0.0036765751,"teacher_disagreement_score":0.6749372,"about_ca_system_score_codex":0.00013187814,"about_ca_system_score_gemma":0.00027927378,"threshold_uncertainty_score":0.9996486},"labels":[],"label_agreement":null},{"id":"W2089987525","doi":"10.1007/s10916-005-5893-y","title":"A Review on Diffusion of Personal Digital Assistants in Healthcare","year":2005,"lang":"en","type":"review","venue":"Journal of Medical Systems","topic":"Innovation in Digital Healthcare Systems","field":"Health Professions","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta Hospital; Alberta Hospital Edmonton; University of Victoria","funders":"","keywords":"Health informatics; Health care; Diffusion; Computer science; Political science","score_opus":0.2040006675889757,"score_gpt":0.5411427392317077,"score_spread":0.337142071642732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089987525","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00003775049,0.98674387,0.000013197279,0.0030547832,0.005891711,0.0026243548,0.00024033128,0.000018665136,0.0013753519],"genre_scores_gemma":[0.0013737176,0.99390304,0.000005037394,0.0008271688,0.0030891125,0.00012732788,0.00005617758,0.00008625496,0.000532186],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98074687,0.0032009673,0.010386065,0.00038279878,0.0045188963,0.0007644264],"domain_scores_gemma":[0.98487264,0.0034112297,0.009322647,0.00045520344,0.0012129205,0.00072534406],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.010502867,0.0005578952,0.005873231,0.0009011751,0.00014385082,0.000025606521,0.0010199137,0.0017369072,0.00019710304],"category_scores_gemma":[0.006489261,0.00035838707,0.00071904476,0.0012989705,0.000097968885,0.000237553,0.00016761762,0.005003812,0.00018786466],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022143871,0.00015630727,0.0002508494,0.421145,0.000060809172,0.00010967855,0.00015169012,3.723977e-8,5.4678293e-9,0.00058858265,0.023915676,0.55359924],"study_design_scores_gemma":[0.0003800661,0.00017618442,0.000019919893,0.47224748,0.000035613717,0.00025972366,0.00019327171,0.000003310811,9.442712e-10,0.000004469209,0.5265505,0.00012946219],"about_ca_topic_score_codex":0.00027965268,"about_ca_topic_score_gemma":0.000038089365,"teacher_disagreement_score":0.5534698,"about_ca_system_score_codex":0.0021207104,"about_ca_system_score_gemma":0.0071088485,"threshold_uncertainty_score":0.9998868},"labels":[],"label_agreement":null},{"id":"W2090753136","doi":"10.1023/b:joms.0000021522.30587.ff","title":"A Review of e-Learning Practices for Undergraduate Medical Education","year":2004,"lang":"en","type":"review","venue":"Journal of Medical Systems","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":125,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Victoria","funders":"","keywords":"Software deployment; Health informatics; Medical education; Videoconferencing; Medicine; Computer science; Public health; Multimedia; Nursing","score_opus":0.15420727484197863,"score_gpt":0.5931291319525136,"score_spread":0.438921857110535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090753136","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[3.9290617e-7,0.97546935,0.0004298749,0.012104183,0.007825248,0.0029871901,0.0000103052425,0.000022400653,0.0011510617],"genre_scores_gemma":[0.0000030596345,0.99325645,0.00027224745,0.00096171495,0.00387528,0.0002859227,0.000051239847,0.00006755085,0.0012265061],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9836298,0.004749783,0.0066488064,0.00028502246,0.004051857,0.0006346989],"domain_scores_gemma":[0.96814257,0.005962147,0.022606647,0.00033924432,0.001529608,0.0014197993],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.022442516,0.0003959269,0.0045230747,0.0002707698,0.00027255845,0.000013294107,0.001221032,0.0017150674,0.00072234],"category_scores_gemma":[0.07301314,0.00025077377,0.0008263,0.000559062,0.0001018009,0.00014841647,0.00013765342,0.0043213987,0.0000844147],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010633402,0.00011064904,0.000007770538,0.60850316,0.00013677751,0.000014225476,0.000057151366,1.6832537e-7,1.4717387e-9,0.001766938,0.091155864,0.29823667],"study_design_scores_gemma":[0.0002972375,0.00015074041,8.690011e-8,0.4916791,0.0005378264,0.000336794,0.0003306988,0.000005043269,1.3562378e-9,0.000050041737,0.5065233,0.00008914152],"about_ca_topic_score_codex":0.0005527068,"about_ca_topic_score_gemma":0.00002363875,"teacher_disagreement_score":0.41536742,"about_ca_system_score_codex":0.0010929746,"about_ca_system_score_gemma":0.050145965,"threshold_uncertainty_score":0.99999446},"labels":[],"label_agreement":null},{"id":"W2091927856","doi":"10.1007/s10916-014-0157-3","title":"Learning from Colleagues about Healthcare IT Implementation and Optimization: Lessons from a Medical Informatics Listserv","year":2014,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Health informatics; Health care; Informatics; Medical education; Computer science; Nursing; Medicine; Public health; Political science","score_opus":0.06460005601551827,"score_gpt":0.4681745281673364,"score_spread":0.40357447215181813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091927856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55508435,0.012387086,0.24080524,0.17403618,0.013595329,0.0023868473,0.000109636574,0.00019217418,0.001403195],"genre_scores_gemma":[0.9807206,0.005643209,0.0017490641,0.0039089164,0.0074483324,0.000075292526,0.00014245836,0.00006076252,0.00025138754],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9880376,0.0038579567,0.0039854376,0.00019478498,0.003229832,0.0006944245],"domain_scores_gemma":[0.9911842,0.0036565496,0.0027965785,0.00022741171,0.0005792572,0.0015560392],"candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0114605455,0.00022779938,0.0010135225,0.00017086184,0.0006840834,0.000059135265,0.00050037995,0.00086614076,0.0014248113],"category_scores_gemma":[0.0032847072,0.00017479093,0.00008888034,0.00023519558,0.00007877029,0.0002728398,0.00014184692,0.0026325753,0.000049363338],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060388295,0.00033007507,0.49006963,0.010080065,0.0011449454,0.00019605804,0.1125926,0.0035975163,0.000019925477,0.00875961,0.22960527,0.14300042],"study_design_scores_gemma":[0.011419475,0.0015194325,0.007134605,0.020729516,0.0001467104,0.00022469643,0.119989336,0.47720417,0.000003273586,0.00021640125,0.36085546,0.00055690727],"about_ca_topic_score_codex":0.016192658,"about_ca_topic_score_gemma":0.0027024278,"teacher_disagreement_score":0.482935,"about_ca_system_score_codex":0.00053369236,"about_ca_system_score_gemma":0.0034804482,"threshold_uncertainty_score":0.9996684},"labels":[],"label_agreement":null},{"id":"W2094103819","doi":"10.1007/s10916-008-9240-y","title":"Performance Evaluation in Home and Community Care","year":2008,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Health Services and Policy Research; Institute for Clinical Evaluative Sciences; University of Toronto; Canadian Agency for Drugs and Technologies in Health","funders":"Canadian Institutes of Health Research; Health Canada; Institute for Clinical Evaluative Sciences; Canadian Health Services Research Foundation","keywords":"Inefficiency; Data envelopment analysis; Sample (material); Frontier; Quality (philosophy); Service provider; Scale (ratio); Service (business); Health informatics; Efficient frontier; Business; Data collection; Environmental economics; Computer science; Marketing; Nursing; Medicine; Statistics; Economics; Public health; Geography; Finance","score_opus":0.1538946832129618,"score_gpt":0.4126849962426881,"score_spread":0.2587903130297263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094103819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953232,0.0029237517,0.0002070315,0.00046121472,0.0005401571,0.000059197522,4.3567258e-7,0.0000024316587,0.00048260618],"genre_scores_gemma":[0.9996239,0.00017009917,0.000025146528,0.000032523913,0.00011793487,9.245957e-7,2.8313994e-7,0.0000026250316,0.000026587377],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99000454,0.0022388035,0.0010768942,0.00009014199,0.006466359,0.0001232555],"domain_scores_gemma":[0.99694204,0.0013872994,0.0005009436,0.00023620907,0.00076308224,0.0001704096],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.0350187,0.000063689076,0.00035786064,0.0003815168,0.00022669525,0.000057674002,0.00069382705,0.00010382168,0.000069201065],"category_scores_gemma":[0.008830192,0.000039082926,0.00006033396,0.0006631722,0.00015862359,0.00023089848,0.00006794312,0.0006957333,0.000015704709],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043345608,0.0002207457,0.9013316,0.000057880225,0.000026852444,0.00013261453,0.019747958,0.007371975,0.00005970455,0.000034957324,0.0022873902,0.06868497],"study_design_scores_gemma":[0.0016586981,0.00038339148,0.6921025,0.00066156243,0.00003314166,0.0015780012,0.017442012,0.28329396,0.000013500211,0.00012234066,0.0025696012,0.00014130869],"about_ca_topic_score_codex":0.00018908147,"about_ca_topic_score_gemma":0.000055976107,"teacher_disagreement_score":0.27592197,"about_ca_system_score_codex":0.000110571156,"about_ca_system_score_gemma":0.00033145052,"threshold_uncertainty_score":0.9995189},"labels":[],"label_agreement":null},{"id":"W2098627046","doi":"10.1007/s10916-009-9380-8","title":"Evaluation of a Novel Integrated Sensor System for Synchronous Measurement of Cardiac Vibrations and Cardiac Potentials","year":2009,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"CMC Microsystems","keywords":"Vibration; Cardiac monitoring; SIGNAL (programming language); Cardiac imaging; Biomedical engineering; Diastole; Noise (video); Computer science; Acoustics; Medicine; Artificial intelligence; Cardiology; Internal medicine; Physics","score_opus":0.038616749651903856,"score_gpt":0.27324633781181323,"score_spread":0.23462958815990936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098627046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68791515,0.02298341,0.28088662,0.000119555596,0.0063121836,0.0014401905,0.000094894596,0.000047289934,0.00020068504],"genre_scores_gemma":[0.99851125,0.00008848953,0.00074623746,7.536375e-7,0.0006203849,0.000014908143,0.000001715311,0.000015154946,0.0000011104441],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9958336,0.00020635019,0.0009982846,0.00008870902,0.0027196722,0.00015343001],"domain_scores_gemma":[0.9975076,0.00014365128,0.00038212826,0.000119891396,0.0016682051,0.0001785443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007286787,0.00012997541,0.00065264606,0.00015369646,0.000026749014,0.000023992909,0.00012705049,0.00014873991,0.000002081584],"category_scores_gemma":[0.000935841,0.000104212966,0.00018164319,0.00015135217,0.000027413467,0.00011019213,0.000008936201,0.00014817479,3.0795806e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024867593,0.00007982843,0.0003682398,0.0012029448,0.00083382736,0.000002601356,0.00024110705,0.012823632,0.9716625,0.00017776736,0.00031765705,0.012265001],"study_design_scores_gemma":[0.012343643,0.0031044744,0.010438935,0.034263596,0.006848123,0.00043704495,0.013675779,0.29669654,0.61950505,0.00009639357,0.0013179543,0.001272469],"about_ca_topic_score_codex":0.000046953155,"about_ca_topic_score_gemma":9.4980675e-7,"teacher_disagreement_score":0.35215747,"about_ca_system_score_codex":0.0004487845,"about_ca_system_score_gemma":0.0002744543,"threshold_uncertainty_score":0.42496815},"labels":[],"label_agreement":null},{"id":"W2103289331","doi":"10.1007/s10916-010-9572-2","title":"A Novel Web-enabled Healthcare Solution on HealthVault System","year":2010,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Health informatics; Computer science; Healthcare system; Health care; Web application; World Wide Web; Political science","score_opus":0.14417320735798422,"score_gpt":0.4778924730281015,"score_spread":0.3337192656701173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103289331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80356604,0.0015318862,0.005486293,0.10887624,0.07470358,0.0027197578,0.000070006754,0.00028355804,0.002762648],"genre_scores_gemma":[0.9891624,0.0001251804,0.00019848917,0.0017215919,0.008353487,0.00007588022,0.0000042002343,0.00005316212,0.00030561257],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9900619,0.0014919804,0.003531572,0.00032901418,0.0034961228,0.0010894538],"domain_scores_gemma":[0.99180126,0.0018624349,0.0022691255,0.00052848354,0.001660282,0.0018783932],"candidate_categories":["research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.012812611,0.0002793696,0.0009871048,0.0003538948,0.0010619289,0.000030144918,0.0008611576,0.0013947752,0.00032975682],"category_scores_gemma":[0.003987159,0.00020176917,0.00020912926,0.00042305863,0.00012043986,0.00017977934,0.000103402315,0.0063185445,0.0006377892],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038408248,0.002401292,0.12535496,0.05501886,0.0005415709,0.0018350309,0.024035124,0.0003262357,0.02187049,0.44144666,0.28331307,0.04001589],"study_design_scores_gemma":[0.0086827325,0.0058354195,0.00730693,0.07213807,0.00018768078,0.0055558393,0.13321368,0.20499726,0.00032001754,0.0005871746,0.5594083,0.0017668683],"about_ca_topic_score_codex":0.009097252,"about_ca_topic_score_gemma":0.0049652453,"teacher_disagreement_score":0.4408595,"about_ca_system_score_codex":0.0010097885,"about_ca_system_score_gemma":0.0047809863,"threshold_uncertainty_score":0.99990165},"labels":[],"label_agreement":null},{"id":"W2114494151","doi":"10.1007/s10916-014-0160-8","title":"The Nurse Scheduling Problem in Real-Life","year":2014,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Heuristics; Scheduling (production processes); Solver; Nurse scheduling problem; Usability; Software; Heuristic; Process (computing); Job shop scheduling; Operations research; Industrial engineering; Operations management; Schedule; Artificial intelligence; Operating system; Flow shop scheduling; Engineering","score_opus":0.09017967511885595,"score_gpt":0.4055672701926766,"score_spread":0.31538759507382064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114494151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8251731,0.0057434305,0.09060845,0.05524174,0.010301841,0.0003003775,0.0000015320312,0.000044524622,0.012585016],"genre_scores_gemma":[0.99743474,0.000109851855,0.0007987284,0.000107155865,0.0010995833,0.0000032816836,9.107965e-8,0.000007422263,0.00043914362],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99201185,0.0009920035,0.0017971493,0.00016596746,0.004703622,0.00032940257],"domain_scores_gemma":[0.9922649,0.0054190313,0.0008995408,0.00036138526,0.00049361464,0.0005614852],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.049126875,0.00009433622,0.0004166659,0.0002381483,0.00022280902,0.00037152748,0.0013888394,0.00016367974,0.000056414945],"category_scores_gemma":[0.043190714,0.000045205277,0.00015651292,0.00071396946,0.00014099723,0.00015199394,0.00003493596,0.0006626006,0.00013571189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042878714,0.0010394672,0.17769733,0.00012356622,0.00040485026,0.00030263886,0.0051125875,0.08639692,0.00031087006,0.4620361,0.099541135,0.16660576],"study_design_scores_gemma":[0.0044045425,0.00048111664,0.024611812,0.0023388453,0.000070142974,0.00096987555,0.014132071,0.64097,0.00001960711,0.024050534,0.28751466,0.00043681898],"about_ca_topic_score_codex":0.0001888926,"about_ca_topic_score_gemma":0.000030874693,"teacher_disagreement_score":0.55457306,"about_ca_system_score_codex":0.00005172741,"about_ca_system_score_gemma":0.00050624,"threshold_uncertainty_score":0.979124},"labels":[],"label_agreement":null},{"id":"W2126541557","doi":"10.1023/b:joms.0000021523.23376.e9","title":"Introducing a Conceptual Information Retrieval (IR) Framework","year":2004,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Medical Research Council","keywords":"Computer science; Process (computing); Information retrieval; Information system; Health informatics; Data mining; Data science; Programming language","score_opus":0.017019679974978795,"score_gpt":0.2800869194319391,"score_spread":0.2630672394569603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126541557","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08528707,0.00018979757,0.9051723,0.0059032016,0.0031036509,0.00011748676,0.0000011725928,0.000034749588,0.0001905544],"genre_scores_gemma":[0.9901918,0.000055293203,0.0081845075,0.0006163477,0.0009263289,0.0000011686876,0.0000012876782,0.0000035046053,0.000019717592],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955241,0.000088505156,0.0010341392,0.00006948582,0.0030421903,0.00024154496],"domain_scores_gemma":[0.99817806,0.00014190123,0.0005517713,0.00020575253,0.0005179618,0.0004045358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031646984,0.00009422956,0.0002528846,0.00019528621,0.00009667815,0.00032027918,0.0010521073,0.00020833877,0.00005060401],"category_scores_gemma":[0.0021592006,0.000065680266,0.00010089999,0.0004815805,0.00008281562,0.0022119018,0.00012151838,0.0007421846,0.00012583451],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020049565,0.00024304267,0.0006375245,0.00028828735,0.00012347783,0.00037584384,0.032186378,0.0059196493,0.000219242,0.90634626,0.008352523,0.045107294],"study_design_scores_gemma":[0.037731614,0.011391728,0.013653031,0.016784128,0.00021389031,0.030733826,0.031990796,0.15219173,0.011115193,0.02670705,0.6638045,0.0036825247],"about_ca_topic_score_codex":0.000027217615,"about_ca_topic_score_gemma":1.769553e-7,"teacher_disagreement_score":0.9049048,"about_ca_system_score_codex":0.00018086295,"about_ca_system_score_gemma":0.0006836926,"threshold_uncertainty_score":0.3224464},"labels":[],"label_agreement":null},{"id":"W2130208819","doi":"10.1007/s10916-009-9336-z","title":"Systematic Review of the Use of Computer Simulation Modeling of Patient Flow in Surgical Care","year":2009,"lang":"en","type":"review","venue":"Journal of Medical Systems","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":118,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Coastal Health; University of British Columbia","funders":"","keywords":"Computer science; Presentation (obstetrics); Health informatics; Simulation modeling; Health care delivery; Health care; Operations research; Risk analysis (engineering); Management science; Medicine; Nursing; Surgery; Public health; Engineering","score_opus":0.1912384383312605,"score_gpt":0.47793255376761484,"score_spread":0.28669411543635437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130208819","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000058180005,0.9895805,0.0063736495,0.0001248633,0.00101994,0.00280506,0.000022557639,0.0000027284668,0.0000125105325],"genre_scores_gemma":[0.0022002684,0.9966623,0.0007687619,0.000058542377,0.00024076187,0.00002552154,0.000019316969,0.000018474071,0.000006019112],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9843104,0.005772797,0.007820307,0.00012980512,0.0017811104,0.00018561518],"domain_scores_gemma":[0.9907578,0.0018169781,0.0052484893,0.00036796636,0.0016496854,0.00015908667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046735997,0.00020009233,0.0038488205,0.00021702408,0.00007464242,0.0000063731163,0.00036103075,0.0006428047,0.00002272742],"category_scores_gemma":[0.0026687868,0.00010264941,0.000551936,0.00048146164,0.000027323971,0.00008286881,0.00006250031,0.00112656,0.000001095988],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037293605,0.00004549585,0.0000069769926,0.81216455,0.000045868695,0.0000061012074,0.00050232344,0.17285712,2.2502507e-9,0.0000571571,0.0000399898,0.014270703],"study_design_scores_gemma":[0.00016314849,0.000067867055,2.3581873e-7,0.66303694,0.00025454274,0.000020576801,0.00014467433,0.32832482,3.285398e-9,3.901485e-7,0.0079379,0.00004891754],"about_ca_topic_score_codex":0.00012416755,"about_ca_topic_score_gemma":0.000010905373,"teacher_disagreement_score":0.15546769,"about_ca_system_score_codex":0.0002990388,"about_ca_system_score_gemma":0.002123477,"threshold_uncertainty_score":0.4957899},"labels":[],"label_agreement":null},{"id":"W2149676682","doi":"10.1007/s10916-008-9158-4","title":"Barriers to Open Source Software Adoption in Quebec’s Health Care Organizations","year":2008,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Vendor; Open source; Open source software; Business; Health informatics; Christian ministry; Key (lock); Principal (computer security); Knowledge management; Health care; Software; Public relations; Marketing; Computer science; Political science; Computer security","score_opus":0.01728482344219765,"score_gpt":0.29486419093178773,"score_spread":0.27757936748959006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149676682","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04130004,0.00047062605,0.9350709,0.02130696,0.0012467334,0.00046883133,0.0000033097792,0.00006425282,0.00006837242],"genre_scores_gemma":[0.9650516,0.000040677493,0.03016038,0.003595474,0.00045753512,0.000018468501,0.000005197161,0.000032504955,0.00063814246],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965185,0.00032060168,0.001075793,0.00021872205,0.0015695408,0.0002968694],"domain_scores_gemma":[0.997222,0.00015826194,0.0005017879,0.00036259802,0.0007874916,0.0009678551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017860304,0.00012545285,0.00041768997,0.00036685087,0.00030219211,0.00029405946,0.00263034,0.00013402815,0.0000685449],"category_scores_gemma":[0.0035918623,0.000108410655,0.000043900225,0.0022613888,0.00004523197,0.0008022846,0.00050801923,0.00045117643,0.00004064341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054148175,0.00044161547,0.2960947,0.0004595269,0.00016987238,0.0011746783,0.19278792,0.02848453,0.00003248317,0.0179836,0.37214506,0.090171896],"study_design_scores_gemma":[0.006933215,0.0016275948,0.07205649,0.005609327,0.000023452689,0.0066968347,0.036067422,0.0069932253,0.000047468904,0.000131846,0.8624032,0.0014099283],"about_ca_topic_score_codex":0.0087508885,"about_ca_topic_score_gemma":0.0017240283,"teacher_disagreement_score":0.9237516,"about_ca_system_score_codex":0.0006625681,"about_ca_system_score_gemma":0.004740641,"threshold_uncertainty_score":0.99784994},"labels":[],"label_agreement":null},{"id":"W2150803229","doi":"10.1007/s10916-010-9615-8","title":"Statistical Signal Processing Technique for Identification of Different Infected Sites of the Diseased Lungs","year":2010,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Auscultation; Lung; Medicine; Computer science; Landmark; Radiology; Bioacoustics; Respiratory sounds; Computer vision; Internal medicine; Telecommunications","score_opus":0.011304775011114794,"score_gpt":0.30713368197960134,"score_spread":0.2958289069684865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150803229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5637273,0.00020999234,0.43442094,0.00051072275,0.00022302411,0.0008226177,0.000043014836,0.00001729906,0.00002505134],"genre_scores_gemma":[0.99910766,0.000017927097,0.0006095176,0.00001518416,0.00018707877,0.00003981104,0.000007646765,0.0000074496857,0.000007708211],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99772775,0.000095037794,0.00093947584,0.000076926364,0.0010667976,0.000094036746],"domain_scores_gemma":[0.99790937,0.00026308198,0.0008893709,0.00011622996,0.0006585956,0.0001633823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013052752,0.000082426435,0.0003969052,0.00013419788,0.000037936254,0.000012380262,0.00018062547,0.00016490034,0.000022524224],"category_scores_gemma":[0.0011294136,0.000044214743,0.000228396,0.00019836011,0.00018710231,0.000054734126,0.00001596471,0.0003649877,8.7260815e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017748437,0.0004333599,0.03104819,0.0018410073,0.000114897004,0.0000039901115,0.00013099464,0.0000010902311,0.96057814,0.0011092591,0.00084027176,0.0037212847],"study_design_scores_gemma":[0.0025727933,0.00091519754,0.26997757,0.0038200796,0.0006941524,0.00030548536,0.00022373768,0.0035179718,0.71533644,0.0019367329,0.0005452253,0.00015462236],"about_ca_topic_score_codex":0.000007975295,"about_ca_topic_score_gemma":9.518757e-7,"teacher_disagreement_score":0.43538034,"about_ca_system_score_codex":0.00001623267,"about_ca_system_score_gemma":0.00022583967,"threshold_uncertainty_score":0.18030249},"labels":[],"label_agreement":null},{"id":"W2174328857","doi":"10.1007/s10916-015-0375-3","title":"Using Semantic Components to Represent Dynamics of an Interdisciplinary Healthcare Team in a Multi-Agent Decision Support System","year":2015,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Workflow; Ontology; Task (project management); Software engineering; Clinical decision support system; Set (abstract data type); Knowledge management; Artificial intelligence; Decision support system; Programming language; Systems engineering; Database","score_opus":0.13383536872045146,"score_gpt":0.4120949565487047,"score_spread":0.2782595878282532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2174328857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5707119,0.00026650657,0.42476314,0.0013999848,0.0026233525,0.00019780686,0.0000014876573,0.00001713055,0.00001865338],"genre_scores_gemma":[0.98335814,0.000006174487,0.016452512,0.000039748404,0.00012587999,0.00000224936,9.868911e-7,0.000008473401,0.0000058150654],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9952915,0.0004567186,0.0015385145,0.00025653184,0.0021588532,0.0002979274],"domain_scores_gemma":[0.99760336,0.00016467128,0.00063643453,0.00047891025,0.00033754692,0.0007790616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048482404,0.00014398003,0.00071288465,0.00038181694,0.000045052486,0.00006964235,0.0014957219,0.00016624667,0.0000010688941],"category_scores_gemma":[0.00042197097,0.0001025553,0.00010157949,0.00034706164,0.000041930005,0.00029119677,0.00084809744,0.00030906434,0.0000051087313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003000726,0.010658143,0.5186773,0.012671274,0.00087322184,0.045076087,0.10087739,0.110352874,0.0023079908,0.016923748,0.014968778,0.16361248],"study_design_scores_gemma":[0.0013464597,0.000650617,0.0067689125,0.004041907,0.000010058901,0.0032044125,0.008879007,0.97483325,0.000023335106,0.00008008153,0.00004449906,0.00011747383],"about_ca_topic_score_codex":0.0010103377,"about_ca_topic_score_gemma":0.0003334295,"teacher_disagreement_score":0.8644804,"about_ca_system_score_codex":0.00064353406,"about_ca_system_score_gemma":0.0004414502,"threshold_uncertainty_score":0.4182084},"labels":[],"label_agreement":null},{"id":"W2564557452","doi":"10.1007/s10916-016-0665-4","title":"Smart Sensor-Based Motion Detection System for Hand Movement Training in Open Surgery","year":2016,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Hidden Markov model; Artificial intelligence; Motion (physics); Task (project management); Motion sensors; Motion analysis; Movement assessment; Match moving; Computer vision; Machine learning; Human–computer interaction; Motor skill; Engineering","score_opus":0.09217089886922475,"score_gpt":0.3308186601556492,"score_spread":0.23864776128642445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564557452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8042222,0.00020225205,0.18690178,0.004147698,0.0030198265,0.0008944324,0.000004303452,0.00002814092,0.0005793268],"genre_scores_gemma":[0.99900764,0.000006530083,0.000067244946,0.00017338923,0.0006233889,0.000022688022,0.0000016497314,0.000014597929,0.00008289486],"study_design_codex":"design_other","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99746186,0.00019849052,0.0010202902,0.00013561995,0.0009695811,0.00021418408],"domain_scores_gemma":[0.9975923,0.0013382845,0.00043221845,0.000091874805,0.00019250043,0.0003528457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005707992,0.000101498226,0.0006057108,0.00022599075,0.0000558344,0.000055982935,0.00010627235,0.00017029136,0.0000719859],"category_scores_gemma":[0.0014652599,0.000058150214,0.0001697981,0.0001526738,0.000035826684,0.00011264019,0.0000140355,0.0001563424,0.0000054809598],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0054746917,0.00059303147,0.101892434,0.0024705757,0.00045534116,0.0013351431,0.0009356746,0.00087320636,0.010707972,0.00073119253,0.000640034,0.8738907],"study_design_scores_gemma":[0.24132389,0.0055725337,0.11746726,0.13681345,0.00086655805,0.004224545,0.028712664,0.21122806,0.029851379,0.0003308916,0.22173938,0.001869398],"about_ca_topic_score_codex":0.000060983526,"about_ca_topic_score_gemma":0.000011779983,"teacher_disagreement_score":0.8720213,"about_ca_system_score_codex":0.0002986281,"about_ca_system_score_gemma":0.00031801264,"threshold_uncertainty_score":0.23712969},"labels":[],"label_agreement":null},{"id":"W2586315584","doi":"10.1007/s10916-017-0694-7","title":"Identification of Dyslipidemic Patients Attending Primary Care Clinics Using Electronic Medical Record (EMR) Data from the Canadian Primary Care Sentinel Surveillance Network (CPCSSN) Database","year":2017,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Sciences Centre; Memorial University of Newfoundland","funders":"Memorial University of Newfoundland; Newfoundland and Labrador Centre for Applied Health Research","keywords":"Dyslipidemia; Medicine; Gold standard (test); Receiver operating characteristic; Confidence interval; Medical record; Bootstrapping (finance); Kappa; Algorithm; Data mining; Internal medicine; Computer science; Mathematics; Disease","score_opus":0.22284323762391298,"score_gpt":0.4583409265475205,"score_spread":0.23549768892360753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586315584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9560888,0.008491153,0.00371565,0.0071953596,0.021365002,0.0013517981,0.00089348544,0.00003323943,0.00086553075],"genre_scores_gemma":[0.98771423,0.002045782,0.00008650695,0.001977662,0.006207012,0.000009480892,0.001905085,0.00003067937,0.000023531898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98961896,0.0017951182,0.0038100265,0.00030770342,0.0035832932,0.0008849045],"domain_scores_gemma":[0.98882663,0.0021543372,0.0052899364,0.0014617835,0.0010443397,0.001222993],"candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.018668005,0.00020930042,0.00085919077,0.00010759826,0.0022971542,0.00007385266,0.0028234099,0.0007460669,0.000142996],"category_scores_gemma":[0.011176295,0.00014366097,0.00010632573,0.00015069872,0.00020368742,0.00052672205,0.0005750882,0.0030899057,0.000030743813],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109642904,0.000034697914,0.94048536,0.0034342732,0.00009145592,0.0000176555,0.001368999,0.000023171167,0.0000036669144,0.00007189774,0.04378665,0.010572537],"study_design_scores_gemma":[0.0056385016,0.00018931545,0.7574499,0.028843287,0.0002537903,0.00003593319,0.005371907,0.051578168,6.5781364e-7,0.000052578875,0.15009947,0.0004864867],"about_ca_topic_score_codex":0.052331705,"about_ca_topic_score_gemma":0.0634626,"teacher_disagreement_score":0.18303545,"about_ca_system_score_codex":0.0017746536,"about_ca_system_score_gemma":0.01246674,"threshold_uncertainty_score":0.99921},"labels":[],"label_agreement":null},{"id":"W2588047992","doi":"10.1007/s10916-017-0697-4","title":"Data Mining in HIV-AIDS Surveillance System","year":2017,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Artificial intelligence; Public health; Health informatics; Machine learning; Population; Medicine; Support vector machine; Computer science; Health care; Human immunodeficiency virus (HIV); Data mining; Environmental health; Family medicine; Nursing; Political science","score_opus":0.06278689309198138,"score_gpt":0.3591777121686221,"score_spread":0.2963908190766407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588047992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9698261,0.007866692,0.0019441438,0.005264368,0.0073602023,0.00059518573,0.0006008448,0.00008885523,0.006453586],"genre_scores_gemma":[0.99732184,0.00015287347,0.000421416,0.000061409875,0.0017585071,0.0000033094334,0.000053351818,0.000026081394,0.00020117819],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99523354,0.00032865768,0.001349497,0.00030464682,0.002426391,0.00035728398],"domain_scores_gemma":[0.99556744,0.0002991554,0.0012621231,0.0018794097,0.00023123875,0.0007606147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008125487,0.00017938757,0.0010861241,0.0001717436,0.00010552191,0.0001460254,0.0021905573,0.00020312384,0.00006871728],"category_scores_gemma":[0.006420131,0.00013055357,0.00011132662,0.0001105438,0.00015496973,0.00037354956,0.00047189413,0.0005536045,0.00005947285],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033948678,0.00019355501,0.93430394,0.0017000114,0.00023035737,0.008337578,0.00009326701,0.000009222328,0.00006273061,0.000274508,0.04706571,0.0073896525],"study_design_scores_gemma":[0.012892243,0.0004937228,0.76623684,0.022969132,0.0001401785,0.0100435065,0.003007474,0.027618863,0.000009063556,0.000004489176,0.15610044,0.00048407872],"about_ca_topic_score_codex":0.00013802582,"about_ca_topic_score_gemma":0.0000666854,"teacher_disagreement_score":0.16806711,"about_ca_system_score_codex":0.00020022914,"about_ca_system_score_gemma":0.00063822186,"threshold_uncertainty_score":0.76859605},"labels":[],"label_agreement":null},{"id":"W2591811533","doi":"10.1007/s10916-017-0689-4","title":"Modernizing Immunization Practice Through the Use of Cloud Based Platforms","year":2017,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Ottawa Hospital","funders":"","keywords":"Immunization; Health informatics; Cloud computing; Public health; Health information exchange; Computer science; Medicine; Health care; Health information; Nursing; Political science; Immunology","score_opus":0.13779629362837745,"score_gpt":0.38440542033025676,"score_spread":0.24660912670187932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591811533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6490324,0.0063335155,0.18275724,0.13829759,0.011487006,0.0007747651,0.0000064398164,0.000035171273,0.011275847],"genre_scores_gemma":[0.9971809,0.0007106695,0.0002578439,0.00030241237,0.0013690226,8.662412e-7,3.0081267e-7,0.000006162839,0.00017183533],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974334,0.00022251841,0.00052125775,0.000054187538,0.0016249861,0.00014363631],"domain_scores_gemma":[0.9968531,0.0009123173,0.001436239,0.00025269383,0.00044105627,0.00010458517],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0035186817,0.00005786524,0.00021617391,0.000024086297,0.0007164649,0.00026258302,0.0007672188,0.00013557593,0.00006364075],"category_scores_gemma":[0.011979241,0.000032731965,0.00009000014,0.00006157526,0.0000600478,0.001392782,0.00004367228,0.00030434207,0.0000039773213],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014665507,0.0017467934,0.09839723,0.0009962617,0.001416304,0.0011959779,0.16513091,0.013744435,0.0004957328,0.41932565,0.25250405,0.043580092],"study_design_scores_gemma":[0.0020227085,0.00023150355,0.0047591575,0.0019969717,0.00017587075,0.000119596276,0.016533723,0.012711464,0.00006317125,0.0012819362,0.95990586,0.00019801412],"about_ca_topic_score_codex":0.0035175662,"about_ca_topic_score_gemma":0.00012956664,"teacher_disagreement_score":0.7074018,"about_ca_system_score_codex":0.000059649636,"about_ca_system_score_gemma":0.00049326604,"threshold_uncertainty_score":0.99634326},"labels":[],"label_agreement":null},{"id":"W2615700559","doi":"10.1007/s10916-017-0738-z","title":"Tri-Scan: A Three Stage Color Enhancement Tool for Endoscopic Images","year":2017,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stage (stratigraphy); Computer science; Computer vision; Artificial intelligence; Health informatics; Computer graphics (images); Medicine; Geology; Pathology","score_opus":0.030703700967576415,"score_gpt":0.33319161550350646,"score_spread":0.30248791453593005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615700559","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016073506,0.0007524784,0.974418,0.004516555,0.0030025109,0.0006336176,0.000004352209,0.00004824115,0.0005507254],"genre_scores_gemma":[0.9460743,0.00025445622,0.049565326,0.00025449856,0.0013976162,0.00015758254,7.339654e-7,0.000020437634,0.0022750224],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966333,0.00008452501,0.0008815647,0.00022811296,0.0018065795,0.00036593215],"domain_scores_gemma":[0.99724495,0.00022664497,0.0012591941,0.0007275703,0.00031327116,0.00022839494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003786915,0.00016455026,0.00048646028,0.00010532203,0.000273169,0.00066371605,0.0032111742,0.00012815376,0.00006494793],"category_scores_gemma":[0.0011791752,0.00011955899,0.00016220643,0.000055243047,0.00010606981,0.00084447116,0.00034015373,0.00028397646,0.000012383993],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003934094,0.0017621027,0.0067484863,0.0028924926,0.0010174515,0.0020874,0.0011629696,0.000020781055,0.07296158,0.09092349,0.34800887,0.47202095],"study_design_scores_gemma":[0.018829461,0.00908539,0.007966714,0.007978432,0.00018688287,0.00066403195,0.00021271616,0.08198655,0.315877,0.0036187058,0.5520364,0.0015576918],"about_ca_topic_score_codex":0.000057403773,"about_ca_topic_score_gemma":0.000007975481,"teacher_disagreement_score":0.93000084,"about_ca_system_score_codex":0.00016231996,"about_ca_system_score_gemma":0.00039769567,"threshold_uncertainty_score":0.64002293},"labels":[],"label_agreement":null},{"id":"W2733937476","doi":"10.1007/s10916-017-0766-8","title":"Topical Collection on “Smart and Interactive Healthcare Systems”","year":2017,"lang":"en","type":"editorial","venue":"Journal of Medical Systems","topic":"Digital Innovation in Industries","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Health informatics; Computer science; Health care; Healthcare system; Data collection; Data science; Human–computer interaction; Political science; Sociology","score_opus":0.03358086297752915,"score_gpt":0.3122139287289775,"score_spread":0.27863306575144836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2733937476","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011340166,0.00058862986,0.00009663675,0.0058037955,0.9839941,0.00028881227,0.000011943081,0.000028148957,0.008053873],"genre_scores_gemma":[0.06373442,0.000093831244,0.0000016215765,0.0001531617,0.9316089,0.000017379201,0.000033057295,0.000036128626,0.0043215035],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99504083,0.00006073808,0.0012111833,0.00023878182,0.0032116612,0.00023680252],"domain_scores_gemma":[0.99443305,0.000705967,0.0028907645,0.00023515904,0.0016598025,0.00007528562],"candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0021499004,0.0002666951,0.0008235049,0.00049216795,0.00024734205,0.002062789,0.0005993327,0.001201353,0.000034991463],"category_scores_gemma":[0.00956632,0.00020165149,0.0001028525,0.00018725061,0.00012436057,0.0010008687,0.00016494184,0.002016994,0.00004343696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013473934,0.00004932577,0.00035817953,0.001217735,0.00011283279,0.0001240402,0.000018593239,0.0000028501952,1.6655568e-7,0.0032798904,0.9933453,0.001356354],"study_design_scores_gemma":[0.00074149406,0.00013372974,0.00009188325,0.006559688,0.00004647704,0.00005782282,0.00037694818,0.00027737924,2.4135355e-7,0.00007501949,0.9914647,0.00017462696],"about_ca_topic_score_codex":0.0016635675,"about_ca_topic_score_gemma":0.00002953714,"teacher_disagreement_score":0.062600404,"about_ca_system_score_codex":0.00027111205,"about_ca_system_score_gemma":0.0005242388,"threshold_uncertainty_score":0.9989732},"labels":[],"label_agreement":null},{"id":"W2740199478","doi":"10.1007/s10916-017-0791-7","title":"Protocol-Driven Decision Support within e-Referral Systems to Streamline Patient Consultation, Triaging and Referrals from Primary Care to Specialist Clinics","year":2017,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Referral; Medicine; Protocol (science); Medical emergency; Neurosurgery; Guideline; Family medicine; Surgery; Alternative medicine; Pathology","score_opus":0.05794358886879979,"score_gpt":0.3640630256284814,"score_spread":0.3061194367596816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740199478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9541068,0.00021991553,0.0022614498,0.006841026,0.009094747,0.025804376,0.000053699037,0.000081255734,0.0015367318],"genre_scores_gemma":[0.99116546,0.000008333427,0.00053189136,0.00078362774,0.0057947426,0.0015871299,0.00002253809,0.00003898733,0.00006730921],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99514276,0.0000939762,0.0023672702,0.000361893,0.0016884616,0.00034566852],"domain_scores_gemma":[0.99562,0.00020199445,0.0024167907,0.00050485577,0.0009832961,0.00027304012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024935252,0.00025141818,0.0009869226,0.00036251973,0.00039534445,0.0008416432,0.00077266945,0.0003817356,0.00003324393],"category_scores_gemma":[0.0035272422,0.00018062485,0.00009373908,0.00017091443,0.00007081376,0.00054946507,0.00037193304,0.0004869809,0.0000568516],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034186554,0.00058100827,0.17699976,0.009273659,0.0005290809,0.0023772619,0.0053740214,0.000711596,0.00029362983,0.014255504,0.13243745,0.6537484],"study_design_scores_gemma":[0.0062088054,0.0005968914,0.021236226,0.008728036,0.00007999974,0.0001500169,0.006257181,0.001429614,0.000008081883,0.0001712704,0.9546668,0.0004670891],"about_ca_topic_score_codex":0.0074344426,"about_ca_topic_score_gemma":0.0006604267,"teacher_disagreement_score":0.8222293,"about_ca_system_score_codex":0.00020435236,"about_ca_system_score_gemma":0.00038898768,"threshold_uncertainty_score":0.99917513},"labels":[],"label_agreement":null},{"id":"W2751422573","doi":"10.1007/s10916-018-1074-7","title":"Adaptive Real-Time Removal of Impulse Noise in Medical Images","year":2018,"lang":"en","type":"preprint","venue":"Journal of Medical Systems","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Impulse noise; Computer science; Dark-frame subtraction; Pixel; Noise (video); Computer vision; Impulse (physics); Artificial intelligence; Gradient noise; Noise measurement; Image noise; Salt-and-pepper noise; Noise reduction; Algorithm; Median filter; Noise floor; Image (mathematics); Image processing; Physics","score_opus":0.026229093733590027,"score_gpt":0.3240933731170113,"score_spread":0.2978642793834213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751422573","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046705496,0.006027053,0.92722297,0.0043019443,0.009665243,0.00045420282,0.000013401382,0.000060783186,0.0055488916],"genre_scores_gemma":[0.7331942,0.006436012,0.24080701,0.0007231667,0.01643543,0.000030475598,0.000010456279,0.00018084543,0.0021824094],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9879057,0.0022885068,0.002602725,0.00048253217,0.006245366,0.00047521552],"domain_scores_gemma":[0.994391,0.0011589377,0.0019900205,0.0007685375,0.0008360685,0.0008554272],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.020446148,0.00035528597,0.0016921983,0.00058498175,0.000042669722,0.00015717933,0.004346628,0.0010983979,0.00018529015],"category_scores_gemma":[0.0038035966,0.00026020256,0.00044421226,0.00042315357,0.00037782796,0.00027641395,0.0017043821,0.002202664,0.00003188604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026013898,0.003981609,0.0012737783,0.0069315117,0.0025034817,0.23548797,0.011038613,0.0013450058,0.012916458,0.0065442147,0.19014125,0.52523476],"study_design_scores_gemma":[0.018302003,0.004916409,0.006308339,0.09046717,0.00044849154,0.08191519,0.0005462633,0.7568969,0.005898462,0.021212531,0.00999022,0.0030980033],"about_ca_topic_score_codex":0.0008069083,"about_ca_topic_score_gemma":0.000004210599,"teacher_disagreement_score":0.75555193,"about_ca_system_score_codex":0.00021699592,"about_ca_system_score_gemma":0.0027816263,"threshold_uncertainty_score":0.99998504},"labels":[],"label_agreement":null},{"id":"W2765381794","doi":"10.1007/s10916-017-0841-1","title":"A Knowledge-Modeling Approach to Integrate Multiple Clinical Practice Guidelines to Provide Evidence-Based Clinical Decision Support for Managing Comorbid Conditions","year":2017,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Ontology; Clinical decision support system; Comorbidity; Health informatics; Decision support system; Web Ontology Language; Knowledge management; Medicine; Semantic Web; Information retrieval; Data mining; Pathology","score_opus":0.41599729548079084,"score_gpt":0.5682205967683711,"score_spread":0.15222330128758027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765381794","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030775039,0.0014777211,0.8862182,0.06692163,0.007001676,0.003504161,0.000023686107,0.00007690286,0.0040010135],"genre_scores_gemma":[0.8993474,0.00062326324,0.08515747,0.0064932164,0.007439053,0.00020949317,0.000025345958,0.000077348355,0.0006273702],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9921821,0.00040928653,0.0041502947,0.00057088846,0.0022004156,0.00048704472],"domain_scores_gemma":[0.98760206,0.00445275,0.0015490289,0.0010073042,0.0034388488,0.0019500025],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02350358,0.00030190076,0.0013279177,0.00033120209,0.00034226818,0.00044995573,0.0012403062,0.00030304637,0.000045754772],"category_scores_gemma":[0.17463826,0.00021538732,0.0006959561,0.00017095976,0.00018091964,0.00065228913,0.0003245266,0.0008347289,0.00007737101],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009135142,0.0046205795,0.009773073,0.0030841567,0.001367335,0.0010655061,0.0002483186,0.009939978,0.000024326277,0.0022073735,0.800808,0.15772618],"study_design_scores_gemma":[0.009925122,0.0026464849,0.0018912046,0.017996162,0.001198501,0.0004069304,0.0028033738,0.67619663,0.000002888159,0.00014618579,0.286441,0.00034548523],"about_ca_topic_score_codex":0.000114874994,"about_ca_topic_score_gemma":0.000026632639,"teacher_disagreement_score":0.8685724,"about_ca_system_score_codex":0.00026536005,"about_ca_system_score_gemma":0.0027129499,"threshold_uncertainty_score":0.878324},"labels":[],"label_agreement":null},{"id":"W2780576796","doi":"10.1007/s10916-017-0882-5","title":"A New Multi-Mode Perfusion System for Ex Vivo Heart Perfusion Study","year":2017,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Mechanical Circulatory Support Devices","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Ex vivo; Perfusion; Hemodynamics; Medicine; Cardiology; Biomedical engineering; Afterload; In vivo; Contractility; Preload; Internal medicine; Biology","score_opus":0.034743139985846085,"score_gpt":0.3112514648398512,"score_spread":0.2765083248540051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2780576796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92622256,0.0014859908,0.061379272,0.00037209026,0.009151945,0.0010560605,0.00000800121,0.00012784291,0.0001962503],"genre_scores_gemma":[0.9975214,0.00001233259,0.00048500535,0.000014998602,0.001760424,0.000012362203,6.306375e-7,0.00004829886,0.00014452565],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99645376,0.00012055427,0.0011203749,0.0001982487,0.0017726532,0.0003344134],"domain_scores_gemma":[0.9978232,0.00015220676,0.0004453233,0.00052691746,0.000171423,0.00088096573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028256453,0.00022333329,0.0007795746,0.00010974102,0.00024788073,0.00021267524,0.00094405195,0.00028997648,0.00015153557],"category_scores_gemma":[0.0005568629,0.00016402359,0.00024753562,0.000047592886,0.00002060614,0.0002565773,0.00009605247,0.00045499203,0.000039037113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015740534,0.004693867,0.3269944,0.028431077,0.0033066785,0.006549124,0.016120108,0.02032304,0.18219407,0.0029426785,0.31700101,0.089869924],"study_design_scores_gemma":[0.014150837,0.0016591096,0.013018986,0.007087429,0.00043892962,0.0026164795,0.007544876,0.8703089,0.0016079181,0.000014983128,0.08060025,0.00095130573],"about_ca_topic_score_codex":0.0002472284,"about_ca_topic_score_gemma":0.00004458734,"teacher_disagreement_score":0.84998584,"about_ca_system_score_codex":0.00018602984,"about_ca_system_score_gemma":0.0001619333,"threshold_uncertainty_score":0.6688688},"labels":[],"label_agreement":null},{"id":"W2783283661","doi":"10.1007/s10916-017-0885-2","title":"A Computer-Aided Decision Support System for Detection and Localization of Cutaneous Vasculature in Dermoscopy Images Via Deep Feature Learning","year":2018,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence; Classifier (UML); Computer-aided diagnosis; Feature (linguistics); Pattern recognition (psychology); Generalizability theory; Computer vision; Machine learning","score_opus":0.006443515188478098,"score_gpt":0.25968454329545654,"score_spread":0.25324102810697846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783283661","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17601052,0.00059536495,0.8209004,0.00017431527,0.0017373002,0.0005057719,7.3748e-7,0.000024911822,0.00005070271],"genre_scores_gemma":[0.99736506,0.000094336276,0.0014947123,0.000047049172,0.00090826245,0.0000051541906,0.000002287973,0.000018432242,0.000064679094],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979366,0.00012067923,0.0007065626,0.0001639442,0.00090652617,0.00016567341],"domain_scores_gemma":[0.9986067,0.00017404745,0.0004799599,0.000107685686,0.0004084247,0.00022322214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011237384,0.00012840459,0.0005346391,0.0002956873,0.00007037214,0.00003301171,0.00008576713,0.0002800847,0.000017496204],"category_scores_gemma":[0.00034183648,0.00009503641,0.00011224613,0.00021940192,0.00006531673,0.0000617571,0.000032880635,0.00034159844,0.0000018793838],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0097647095,0.00085386727,0.01697038,0.015643466,0.0014088376,0.0061390665,0.0032504923,0.005796513,0.044940826,0.00017081402,0.0066538043,0.88840723],"study_design_scores_gemma":[0.009486965,0.0092451135,0.002205522,0.007639615,0.00049455295,0.090775065,0.002273657,0.84275913,0.005998507,0.00003501082,0.028790737,0.00029611323],"about_ca_topic_score_codex":0.00004200272,"about_ca_topic_score_gemma":0.000035913075,"teacher_disagreement_score":0.8881111,"about_ca_system_score_codex":0.00016510392,"about_ca_system_score_gemma":0.00006280993,"threshold_uncertainty_score":0.38754722},"labels":[],"label_agreement":null},{"id":"W2784670277","doi":"10.1007/s10916-018-0897-6","title":"The Design of a Pulse Oximeter to MIDI Output Conversion Unit – a Technical Report","year":2018,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Hospital for Sick Children","keywords":"MIDI; Pulse (music); Computer science; Unit (ring theory); Health informatics; Medicine; Telecommunications; Operating system; Psychology; Nursing; Public health; Mathematics education","score_opus":0.028283595945598868,"score_gpt":0.2733826499252356,"score_spread":0.24509905397963672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784670277","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4834846,0.001953685,0.5068132,0.0034822572,0.0027370579,0.0005168235,0.000002674627,0.0003220352,0.0006876464],"genre_scores_gemma":[0.9975452,0.00011364921,0.0019051338,0.000021516737,0.00030546275,0.000004193062,1.6249345e-7,0.000017456327,0.00008723669],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978029,0.000048774866,0.0008261498,0.000087964145,0.0010058138,0.00022838649],"domain_scores_gemma":[0.9986145,0.00045126755,0.00022894212,0.00027328974,0.00021424022,0.00021774232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001029285,0.000111044035,0.0003301854,0.00007920059,0.00003925615,0.000016419817,0.00059867086,0.00025629,0.000019123578],"category_scores_gemma":[0.0028296304,0.00006419299,0.00008087961,0.00023305243,0.00021905397,0.00005261118,0.00008047445,0.0004320745,0.000015517346],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004410649,0.00016120393,0.0007559748,0.0005058385,0.00047686876,0.0023978048,0.00024005365,0.005093052,0.85300994,0.0005572229,0.10745282,0.028908163],"study_design_scores_gemma":[0.0019847017,0.001915154,0.00040863405,0.0027627193,0.00014017562,0.01327702,0.0011405449,0.023837443,0.5904242,0.0008299938,0.3626514,0.00062805717],"about_ca_topic_score_codex":0.0000066175458,"about_ca_topic_score_gemma":7.2743626e-7,"teacher_disagreement_score":0.5140606,"about_ca_system_score_codex":0.00009196145,"about_ca_system_score_gemma":0.00002163427,"threshold_uncertainty_score":0.33875364},"labels":[],"label_agreement":null},{"id":"W2791145595","doi":"10.1007/s10916-017-0887-0","title":"Nature-Inspired Algorithm for Training Multilayer Perceptron Networks in e-health Environments for High-Risk Pregnancy Care","year":2018,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Machine Learning and ELM","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Population and Public Health; Fundo para o Desenvolvimento Tecnológico das Telecomunicações","keywords":"Computer science; Particle swarm optimization; Multilayer perceptron; Machine learning; Artificial neural network; Artificial intelligence; Health informatics; Generalization; Perceptron; Reduction (mathematics); Algorithm; Health care; Data mining; Mathematics","score_opus":0.01373928673522698,"score_gpt":0.2993115871279472,"score_spread":0.2855723003927202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791145595","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008774091,0.004600819,0.9815326,0.0011655872,0.0034566564,0.00043077927,0.000005394324,0.000018938259,0.000015140596],"genre_scores_gemma":[0.95635337,0.00018361614,0.040973887,0.00019856638,0.0021375334,0.000030627172,0.0000035740113,0.000018565665,0.00010024886],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973537,0.00027901947,0.0008010413,0.00025524912,0.00086122163,0.00044978573],"domain_scores_gemma":[0.998407,0.00028256178,0.0006912217,0.00020390272,0.00007423809,0.00034109154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024713622,0.00014800248,0.00045376061,0.000113125294,0.00018071292,0.000070631206,0.00080529397,0.00031537103,0.000006792692],"category_scores_gemma":[0.00033709596,0.000110230794,0.00012772693,0.00011230236,0.000043792832,0.00015314833,0.00006462886,0.00065358804,0.000001924489],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019722529,0.000069161215,0.0008859022,0.00014155795,0.000037804813,0.000013433633,0.0050585386,0.001356122,0.0000032273997,0.00025558064,0.0012592617,0.9908997],"study_design_scores_gemma":[0.0033587625,0.0014388394,0.0035292928,0.00199675,0.000010840418,0.00006360591,0.0006526442,0.9576285,0.000004327738,0.000049581497,0.031121636,0.00014522193],"about_ca_topic_score_codex":0.00021082013,"about_ca_topic_score_gemma":0.000028162622,"teacher_disagreement_score":0.9907545,"about_ca_system_score_codex":0.00017658161,"about_ca_system_score_gemma":0.00018978858,"threshold_uncertainty_score":0.44950816},"labels":[],"label_agreement":null},{"id":"W2796214574","doi":"10.1007/s10916-018-0947-0","title":"Speech Recognition for Medical Dictation: Overview in Quebec and Systematic Review","year":2018,"lang":"en","type":"review","venue":"Journal of Medical Systems","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université de Sherbrooke; Centre Hospitalier Universitaire de Sherbrooke; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"","keywords":"Dictation; Systematic review; Checklist; Medical literature; Medicine; Medical education; Scopus; Cochrane Library; MEDLINE; Computer science; Alternative medicine; Psychology; Speech recognition; Pathology","score_opus":0.22678861365215267,"score_gpt":0.5457197614842713,"score_spread":0.3189311478321186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796214574","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000025644674,0.9888128,0.00011917459,0.0034421913,0.002858034,0.004522222,0.000027585671,0.000018010673,0.00019741418],"genre_scores_gemma":[0.000004362077,0.9955911,0.00008080729,0.0009975308,0.0017222987,0.0011199414,0.000049497015,0.000045019333,0.00038943355],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.98113203,0.0091010025,0.0069599454,0.00024502922,0.002174269,0.00038771422],"domain_scores_gemma":[0.9831454,0.009511326,0.0051661795,0.00050785247,0.0010522967,0.00061691954],"candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.029289829,0.0003161796,0.0044693877,0.00028472207,0.00022949444,0.000026996928,0.0010176942,0.0014424382,0.00046987837],"category_scores_gemma":[0.027938448,0.0001983634,0.00045203505,0.00034113365,0.00009860356,0.00011623375,0.00015700782,0.0025681779,0.00013265654],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000576703,0.000028181543,0.000005143568,0.8984316,0.00008707023,0.00002345426,0.00022685612,1.1781387e-9,3.5843026e-10,0.00013416728,0.016710566,0.084347196],"study_design_scores_gemma":[0.00027969622,0.00007159702,4.405698e-7,0.6374598,0.0005201898,0.00042907853,0.00041555442,0.000029136652,9.1822705e-10,0.000034595778,0.3606534,0.00010649118],"about_ca_topic_score_codex":0.0013732411,"about_ca_topic_score_gemma":0.0011499351,"teacher_disagreement_score":0.34394285,"about_ca_system_score_codex":0.00050513603,"about_ca_system_score_gemma":0.0040301885,"threshold_uncertainty_score":0.9998539},"labels":[],"label_agreement":null},{"id":"W2806606121","doi":"10.1007/s10916-018-0971-0","title":"Exploring Factors Affecting Voluntary Adoption of Electronic Medical Records Among Physicians and Clinical Assistants of Small or Solo Private General Practice Clinics","year":2018,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Health informatics; Government (linguistics); Software deployment; Medical record; Health care; Information sharing; Scale (ratio); Business; Medicine; Veterans Affairs; Public health; Nursing; Family medicine; Computer science; World Wide Web","score_opus":0.20614902219306674,"score_gpt":0.48267834386368064,"score_spread":0.2765293216706139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806606121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98303646,0.0011912741,0.0042549074,0.0008929179,0.009619228,0.00082610676,0.0000070657056,0.000035123412,0.00013692112],"genre_scores_gemma":[0.9860088,0.0061320546,0.00046777845,0.00022422141,0.0069600902,0.000019368435,0.000004141472,0.0000666674,0.00011687565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9826256,0.0064790198,0.006284178,0.0004134289,0.0029847815,0.0012129919],"domain_scores_gemma":[0.97962904,0.010377846,0.0073897187,0.00040687117,0.001161082,0.0010354263],"candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.035202034,0.0003273639,0.0019498207,0.0002675183,0.00033887103,0.0000143367215,0.0007084892,0.00095406285,0.00012165451],"category_scores_gemma":[0.024622561,0.00022974024,0.0002955799,0.00050483295,0.00047684164,0.0005326586,0.00021397094,0.004323698,0.00000933284],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019053885,0.0008002719,0.9558111,0.0041451138,0.0009622074,0.00014458102,0.004632187,0.0000053338626,0.00008732154,0.00044538616,0.0017318872,0.029329251],"study_design_scores_gemma":[0.01970275,0.03336833,0.71073204,0.08014795,0.0015481455,0.001377499,0.052256644,0.034942962,0.0001830458,0.00012790752,0.06408277,0.0015299256],"about_ca_topic_score_codex":0.002237027,"about_ca_topic_score_gemma":0.0021463253,"teacher_disagreement_score":0.24507901,"about_ca_system_score_codex":0.000664015,"about_ca_system_score_gemma":0.0053196764,"threshold_uncertainty_score":0.9979734},"labels":[],"label_agreement":null},{"id":"W2811112224","doi":"10.1007/s10916-018-0995-5","title":"Towards Secure and Privacy-Preserving Data Sharing in e-Health Systems via Consortium Blockchain","year":2018,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":610,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Science Foundation of Anhui Province; National Natural Science Foundation of China","keywords":"Blockchain; Computer science; Computer security; Data sharing; Encryption; Immutability; Scheme (mathematics); Block (permutation group theory); Private information retrieval; Security analysis; Public-key cryptography","score_opus":0.039898663209922816,"score_gpt":0.320735460184405,"score_spread":0.2808367969744822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811112224","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20840506,0.015150185,0.7400415,0.033373345,0.0021581254,0.0005550752,0.000008732709,0.000117745534,0.00019022226],"genre_scores_gemma":[0.9965695,0.00022167356,0.0024810378,0.00014778203,0.0005461577,0.000007919301,9.60895e-7,0.000008929944,0.000016013864],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966864,0.0002354926,0.0012228886,0.00043951074,0.0010456954,0.0003699919],"domain_scores_gemma":[0.99717844,0.00014036514,0.0007301155,0.0013831015,0.00017983797,0.00038815447],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.008929464,0.00014226249,0.0005143294,0.00025756285,0.00014321394,0.000165319,0.0055104475,0.0003024558,0.000009427046],"category_scores_gemma":[0.00069374626,0.00011190739,0.000030071471,0.00049558334,0.00017759699,0.00020092778,0.0026142704,0.0007499208,0.000004121421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009343446,0.0014835921,0.05671104,0.0056992187,0.00066150015,0.0013081047,0.01491114,0.00035122468,0.00059060234,0.6995604,0.06686264,0.1517671],"study_design_scores_gemma":[0.00073677214,0.00019365114,0.0010399882,0.0012177689,0.00000600902,0.0018860623,0.0003573836,0.9695987,0.00001585241,0.0023227034,0.022471983,0.00015314262],"about_ca_topic_score_codex":0.0010722895,"about_ca_topic_score_gemma":0.000078339224,"teacher_disagreement_score":0.96924746,"about_ca_system_score_codex":0.00009295691,"about_ca_system_score_gemma":0.0003556224,"threshold_uncertainty_score":0.99987024},"labels":[],"label_agreement":null},{"id":"W2887162250","doi":"10.1007/s10916-018-1026-2","title":"A Novel Open-Source Novel App Improves Anesthesia Operating Room Equipment Supply","year":2018,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Staffing; Medicine; Descriptive statistics; Patient safety; Missing data; Operations management; Medical emergency; Health care; Computer science; Nursing; Statistics; Engineering","score_opus":0.07924597950854784,"score_gpt":0.422149215112963,"score_spread":0.34290323560441516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887162250","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40260696,0.0007239626,0.5425632,0.04547182,0.0046974993,0.0021411695,0.000010213157,0.000075278345,0.0017098663],"genre_scores_gemma":[0.96721786,0.000084759726,0.021167109,0.0034476202,0.0055236723,0.00007524557,0.000011098971,0.000056719797,0.0024159295],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99535125,0.0005266778,0.0019785624,0.00022953741,0.0014059421,0.0005080155],"domain_scores_gemma":[0.9965633,0.0004207279,0.0008940977,0.00026678864,0.001158021,0.00069704955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008466646,0.00018004779,0.00057875563,0.00012948738,0.0010779474,0.00018300481,0.00081340666,0.00044940488,0.00042352418],"category_scores_gemma":[0.0015362636,0.0001246365,0.0000675261,0.00027392182,0.000069014415,0.00036468435,0.00018822226,0.0010433298,0.000077650024],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020186747,0.0096755,0.093172036,0.00960712,0.0019779545,0.00087952527,0.14127931,0.017994488,0.17558396,0.07776718,0.35398218,0.11606208],"study_design_scores_gemma":[0.013557006,0.0031418079,0.0064227046,0.015207645,0.00011975493,0.0030194381,0.028276183,0.47718173,0.00013210294,0.000023836312,0.45202056,0.0008972126],"about_ca_topic_score_codex":0.0017992733,"about_ca_topic_score_gemma":0.00010529098,"teacher_disagreement_score":0.5646109,"about_ca_system_score_codex":0.0002810799,"about_ca_system_score_gemma":0.0023718402,"threshold_uncertainty_score":0.8290809},"labels":[],"label_agreement":null},{"id":"W2897877520","doi":"10.1007/s10916-018-1077-4","title":"Ideating Mobile Health Behavioral Support for Compliance to Therapy for Patients with Chronic Disease: A Case Study of Atrial Fibrillation Management","year":2018,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Psychological intervention; Compliance (psychology); Medicine; Health informatics; Atrial fibrillation; Health care; Nursing; Psychology; Public health","score_opus":0.09764425389819029,"score_gpt":0.4881651343330475,"score_spread":0.3905208804348572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897877520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98689836,0.00050535495,0.0034321318,0.0001534331,0.0026738157,0.0061866622,0.00012991928,0.000007841027,0.0000125007655],"genre_scores_gemma":[0.99840605,0.0000027197755,0.00019559904,0.000032267963,0.0009446666,0.00027600388,0.000013607666,0.000019486732,0.00010958204],"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99762875,0.000116289506,0.0011235428,0.00016579502,0.0007105367,0.0002551084],"domain_scores_gemma":[0.99818265,0.00010520657,0.0008421291,0.00016090143,0.0002902786,0.0004188149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010697077,0.0001031018,0.00035803212,0.000101976795,0.0001046666,0.000023246568,0.00016270086,0.000038910588,0.000070591304],"category_scores_gemma":[0.000025291796,0.00007624888,0.00013603862,0.00011112172,0.00003527472,0.00007818958,0.000024358524,0.000065851105,0.0000040708824],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010567619,0.007316193,0.104931265,0.0028982926,0.00089701335,0.0004404812,0.004522891,0.00017608293,4.7226357e-7,0.00050291006,0.011369504,0.85637724],"study_design_scores_gemma":[0.086025044,0.74763364,0.05911375,0.010965464,0.00044122495,0.001433602,0.019817539,0.001659517,0.0000033592235,0.00007652355,0.07214049,0.0006898432],"about_ca_topic_score_codex":0.0003346781,"about_ca_topic_score_gemma":0.00011266772,"teacher_disagreement_score":0.85568744,"about_ca_system_score_codex":0.0002507791,"about_ca_system_score_gemma":0.00013496251,"threshold_uncertainty_score":0.3109339},"labels":[],"label_agreement":null},{"id":"W2914087343","doi":"10.1007/s10916-019-1172-1","title":"Cluster Analysis of Obesity Disease Based on Comorbidities Extracted from Clinical Notes","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Comorbidity; Obesity; Context (archaeology); Cluster (spacecraft); Heart failure; Medicine; Diabetes mellitus; Depression (economics); Disease; Health informatics; Computer science; Internal medicine; Public health; Pathology","score_opus":0.042314543183146314,"score_gpt":0.35070064592142913,"score_spread":0.3083861027382828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914087343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891349,0.0013275488,0.00060007384,0.007389713,0.0010777073,0.00016479313,0.00009812006,0.00000682841,0.00020033453],"genre_scores_gemma":[0.9975814,0.0002487764,0.00007118125,0.0010532947,0.00094363245,0.000001641378,0.000040658546,0.000007662484,0.000051759496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963054,0.00023201606,0.001149328,0.00013945666,0.0020392623,0.00013454747],"domain_scores_gemma":[0.99584484,0.0024811644,0.00057302334,0.00020971926,0.00033075258,0.0005605229],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015251535,0.000111935,0.001083084,0.000179538,0.00002807015,0.00001244565,0.00015394296,0.00015507275,0.0009699871],"category_scores_gemma":[0.0017869329,0.00007117976,0.0006565045,0.00023409777,0.0001024885,0.000037459555,0.000030740997,0.00040039752,0.000019938318],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018907113,0.0015341867,0.98074937,0.00024710814,0.0017873761,0.0002175756,0.000019016808,0.00021819046,0.000019839894,0.000088992194,0.012997027,0.00023060424],"study_design_scores_gemma":[0.004136691,0.00069682766,0.96012765,0.0016051858,0.0019472082,0.000007414325,0.00014569356,0.02492472,0.0000056778367,0.000025676469,0.0062966943,0.00008057782],"about_ca_topic_score_codex":0.00023380049,"about_ca_topic_score_gemma":0.000010520896,"teacher_disagreement_score":0.02470653,"about_ca_system_score_codex":0.000052360414,"about_ca_system_score_gemma":0.00019851123,"threshold_uncertainty_score":0.99994326},"labels":[],"label_agreement":null},{"id":"W2923059398","doi":"10.1007/s10916-019-1229-1","title":"Achieving Efficient and Privacy-Preserving k-NN Query for Outsourced eHealthcare Data","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Cloud computing; Encryption; Homomorphic encryption; Server; Information privacy; Service provider; Database; Computer security; Service (business); Computer network","score_opus":0.04143562652102641,"score_gpt":0.3197968179257512,"score_spread":0.2783611914047248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923059398","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42193457,0.005477165,0.5626268,0.006910121,0.0025629557,0.00037667842,0.000033453514,0.000029729912,0.000048540955],"genre_scores_gemma":[0.9938438,0.000117011914,0.005297856,0.00016874951,0.00054960593,0.0000023507744,0.0000076337665,0.0000081167445,0.000004876223],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972859,0.00018949457,0.0006698897,0.00029894177,0.0012776672,0.0002781248],"domain_scores_gemma":[0.9973654,0.0006108679,0.00044837268,0.0009982946,0.00013968538,0.0004373352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048855143,0.000112957925,0.0003742623,0.0001347094,0.000099739525,0.0002397251,0.0033684745,0.00013758626,0.000010038555],"category_scores_gemma":[0.0010699054,0.00008153685,0.000079583486,0.00019815967,0.00003378189,0.0004494177,0.0015781099,0.00038678132,0.0000031760471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008198699,0.0019502761,0.24343295,0.022889322,0.0013926392,0.000786579,0.025384216,0.001968905,0.002846591,0.32873383,0.15353268,0.21626213],"study_design_scores_gemma":[0.0032778285,0.0006180222,0.009928523,0.0037148206,0.00004286118,0.0011336047,0.0013834728,0.8292568,0.000018081582,0.0005011644,0.14971101,0.00041386113],"about_ca_topic_score_codex":0.00009512805,"about_ca_topic_score_gemma":0.00000595763,"teacher_disagreement_score":0.82728785,"about_ca_system_score_codex":0.000026785036,"about_ca_system_score_gemma":0.00018574308,"threshold_uncertainty_score":0.625952},"labels":[],"label_agreement":null},{"id":"W2938626971","doi":"10.1007/s10916-019-1275-8","title":"Design and evaluation of a novel and sustainable human-powered low-cost 3D printed thermal laryngoscope","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Airway Management and Intubation Techniques","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; Women's College Hospital; University of Toronto","funders":"","keywords":"3d printed; Health informatics; Computer science; 3D printing; Manufacturing engineering; Systems engineering; Medicine; Engineering; Mechanical engineering; Public health; Nursing","score_opus":0.038644255975398535,"score_gpt":0.3396917949818315,"score_spread":0.30104753900643294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938626971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9646632,0.0012082559,0.028464753,0.00059121975,0.00013086833,0.0012939026,3.5878952e-7,0.000014040843,0.003633397],"genre_scores_gemma":[0.9977134,0.00024496764,0.00026492684,0.000027614782,0.00010165784,0.000010022341,0.0000018019439,0.000009887047,0.0016257566],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977624,0.00015510876,0.0005294545,0.000093290364,0.0013245484,0.00013518876],"domain_scores_gemma":[0.99868923,0.00007440449,0.00039616053,0.00009433997,0.00060849334,0.0001373492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00643846,0.00008200368,0.0003402393,0.00016226374,0.000030052805,0.000023275927,0.00008303681,0.000115879346,0.00056995905],"category_scores_gemma":[0.0003835122,0.00005656071,0.00003337603,0.00009412184,0.000053675274,0.00014765856,0.00005151114,0.00019103098,0.0000013809815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00758163,0.008372765,0.124078594,0.038248587,0.005229987,0.0002738512,0.012054554,0.0013951781,0.28368676,0.042288758,0.11464239,0.36214694],"study_design_scores_gemma":[0.067379974,0.023790762,0.07722878,0.022629406,0.0023761063,0.0005807386,0.012689227,0.7241395,0.018042834,0.0003927475,0.04976014,0.0009897621],"about_ca_topic_score_codex":0.000037325175,"about_ca_topic_score_gemma":2.6282353e-7,"teacher_disagreement_score":0.72274435,"about_ca_system_score_codex":0.00006762226,"about_ca_system_score_gemma":0.00016290027,"threshold_uncertainty_score":0.6240652},"labels":[],"label_agreement":null},{"id":"W2941630629","doi":"10.1007/s10916-019-1273-x","title":"Development of a Self-Management App for People with Spinal Cord Injury","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Collaboration On Repair Discoveries; GF Strong Rehabilitation Centre; University of British Columbia; University of British Columbia Hospital","funders":"Rick Hansen Institute","keywords":"Self-management; Focus group; Rehabilitation; Stakeholder; Medicine; Psychological intervention; Mobile apps; Nursing; Physical therapy; Psychology; Computer science; Business; Public relations; World Wide Web","score_opus":0.030145331685300647,"score_gpt":0.3715846838299004,"score_spread":0.34143935214459975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941630629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98980194,0.00046431515,0.006038251,0.0009393743,0.000625693,0.0011805411,0.0000018314777,0.000016410555,0.00093165366],"genre_scores_gemma":[0.9857016,0.000058452326,0.0130978525,0.00006534674,0.0003436057,0.00003711795,0.0000019146817,0.000024319677,0.0006697895],"study_design_codex":"randomized_trial","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954723,0.000051065814,0.00095356745,0.00015518186,0.0030688106,0.00029903697],"domain_scores_gemma":[0.9982658,0.000070641676,0.00048309684,0.0002097238,0.0005273985,0.0004433272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025986645,0.00013600524,0.00071564096,0.00026343664,0.000035085548,0.000017364102,0.0003347776,0.000115969015,0.00014554632],"category_scores_gemma":[0.0001268365,0.00008441879,0.00011682035,0.00028480223,0.000035569265,0.00006470922,0.000074456,0.0003656142,0.00003126349],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.35629603,0.0066114976,0.13523817,0.07807363,0.010711199,0.0016746968,0.0020647356,0.00001580627,0.013185309,0.008389003,0.06643552,0.3213044],"study_design_scores_gemma":[0.030098898,0.15406962,0.07768097,0.02903927,0.00093296106,0.0055519044,0.010427115,0.0023056655,0.0033293972,0.000036028912,0.68575364,0.0007745509],"about_ca_topic_score_codex":0.000011357603,"about_ca_topic_score_gemma":0.000003266665,"teacher_disagreement_score":0.6193181,"about_ca_system_score_codex":0.00021212944,"about_ca_system_score_gemma":0.0008931921,"threshold_uncertainty_score":0.34424984},"labels":[],"label_agreement":null},{"id":"W2945667677","doi":"10.1007/s10916-019-1337-y","title":"Decision Tree Predictive Learner-Based Approach for False Alarm Detection in ICU","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Decision tree; Health informatics; Computer science; ALARM; False alarm; Decision tree learning; Tree (set theory); Machine learning; Artificial intelligence; Data mining; Medicine; Nursing; Public health; Mathematics","score_opus":0.03357528384279305,"score_gpt":0.33298777548273384,"score_spread":0.29941249163994077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945667677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8804316,0.000741683,0.11521662,0.0006657816,0.0020691021,0.0007223843,0.0000015128757,0.000026233982,0.00012509839],"genre_scores_gemma":[0.99843097,0.000039129685,0.0007831176,0.000056568988,0.00060289545,0.000025656605,0.0000026940686,0.000013689273,0.000045254015],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977427,0.00012214182,0.00074479665,0.0001499109,0.0010198079,0.00022063707],"domain_scores_gemma":[0.9986399,0.00044764843,0.00031462449,0.00014970398,0.00019085106,0.0002572653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002746834,0.0001005241,0.00047355,0.00033008147,0.000031981923,0.000007494498,0.00014799424,0.0005325198,0.000010662315],"category_scores_gemma":[0.001409926,0.00007038665,0.00011903944,0.00021532846,0.000034065353,0.00006334238,0.000014599364,0.000816067,0.00000590589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0068214647,0.0012823639,0.5206161,0.0027515984,0.00021420179,0.00027525777,0.0005183328,0.0029084014,0.0023813322,0.00013606373,0.00092530163,0.46116957],"study_design_scores_gemma":[0.055585466,0.03068447,0.11111896,0.020698216,0.00036089998,0.003230572,0.00690125,0.7312196,0.007944474,0.00025149426,0.031296957,0.0007076672],"about_ca_topic_score_codex":0.00005821889,"about_ca_topic_score_gemma":0.000009259099,"teacher_disagreement_score":0.7283112,"about_ca_system_score_codex":0.00022881094,"about_ca_system_score_gemma":0.0002879294,"threshold_uncertainty_score":0.41072807},"labels":[],"label_agreement":null},{"id":"W2955325883","doi":"10.1007/s10916-019-1343-0","title":"IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Cryotherapy; Machine learning; Artificial intelligence; Particle swarm optimization; Protocol (science); Medicine; Pathology","score_opus":0.011919483126726022,"score_gpt":0.2411384474987353,"score_spread":0.22921896437200928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955325883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9129032,0.009882727,0.0711613,0.0015933914,0.0026434758,0.0015130059,0.000090783346,0.000024897266,0.00018721272],"genre_scores_gemma":[0.99847066,0.000080047954,0.00021495156,0.00004981055,0.00054862304,0.000030941927,0.00007198935,0.000022678149,0.00051030365],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99853855,0.000048521273,0.0006536763,0.0001318941,0.0004104722,0.00021686307],"domain_scores_gemma":[0.9987935,0.000039988226,0.00047582833,0.00021553507,0.00015437072,0.00032076763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081687525,0.00016761747,0.00036572714,0.000050480587,0.000052116717,0.000048752834,0.00026684013,0.00016410544,0.0000119440865],"category_scores_gemma":[0.00019935844,0.000106376516,0.00029245095,0.000043190394,0.000016243584,0.000006809618,0.000035005152,0.00012876031,0.0000064639407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.025696376,0.009510429,0.0861635,0.035714626,0.010216164,0.0002081598,0.0014768387,0.074339174,0.7003287,0.0027129871,0.019929737,0.033703297],"study_design_scores_gemma":[0.015446198,0.005728103,0.0004660723,0.001021194,0.00022623385,0.00033323764,0.0009676919,0.68182456,0.004947998,0.0000017253865,0.28862992,0.0004070484],"about_ca_topic_score_codex":0.000036152906,"about_ca_topic_score_gemma":0.0000021336873,"teacher_disagreement_score":0.6953807,"about_ca_system_score_codex":0.00007239474,"about_ca_system_score_gemma":0.00035126807,"threshold_uncertainty_score":0.43379083},"labels":[],"label_agreement":null},{"id":"W2959113037","doi":"10.1007/s10916-019-1414-2","title":"The Application of Deep Learning in the Risk Grading of Skin Tumors for Patients Using Clinical Images","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SKiN Health","funders":"National Key Research and Development Program of China; Hunan Provincial Science and Technology Department","keywords":"Medicine; Seborrheic keratosis; Dermatology; Grading (engineering); Basal cell carcinoma; Actinic keratosis; Skin cancer; Melanoma; Radiology; Basal cell; Pathology; Cancer; Internal medicine","score_opus":0.016883649291873536,"score_gpt":0.32558122941655326,"score_spread":0.30869758012467974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2959113037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867539,0.00029158924,0.011355065,0.00030401387,0.000591762,0.0005963514,6.3932583e-7,0.0000025845734,0.00010414262],"genre_scores_gemma":[0.99945635,0.00014794292,0.00008661888,0.000023150475,0.0002445162,0.0000046213845,6.4377014e-7,0.0000067644896,0.000029406758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976747,0.00031015064,0.001016363,0.00007059038,0.000825898,0.00010229225],"domain_scores_gemma":[0.9976132,0.0009632096,0.0010964406,0.000120211866,0.00014195382,0.000064965396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005283621,0.00005599573,0.00033108785,0.000074376454,0.000044058652,0.0000102554595,0.00017349374,0.00006766542,0.0000055003243],"category_scores_gemma":[0.0013402003,0.00002792977,0.00015620659,0.00010177828,0.000053928463,0.000023137884,0.000021170394,0.00036009206,0.0000011785364],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009167404,0.00067634095,0.7403429,0.00093080685,0.00029366356,0.000023810018,0.0008707651,0.00087829214,0.0004920324,0.00041736767,0.0005322026,0.25362504],"study_design_scores_gemma":[0.018324306,0.008423414,0.45926747,0.0041749952,0.000869415,0.0013970368,0.024028549,0.40371847,0.0005363672,0.00025380286,0.078689195,0.00031699834],"about_ca_topic_score_codex":0.00010438759,"about_ca_topic_score_gemma":0.000007062297,"teacher_disagreement_score":0.40284017,"about_ca_system_score_codex":0.000043587435,"about_ca_system_score_gemma":0.000042619646,"threshold_uncertainty_score":0.18312082},"labels":[],"label_agreement":null},{"id":"W2963766262","doi":"10.1007/s10916-019-1422-2","title":"The Use of eHealth Applications in Hong Kong: Results of a Random-Digit Dialing Survey","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Random digit dialing; eHealth; Health informatics; Computer science; Numerical digit; Internet privacy; Public health; Telecommunications; Medicine; Environmental health; Health care; Nursing; Political science; Mathematics","score_opus":0.12622679923995678,"score_gpt":0.447218963541153,"score_spread":0.3209921643011962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963766262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96539885,0.004760333,0.0047461675,0.009566458,0.0035704318,0.010811026,0.00027027476,0.000025333798,0.0008511464],"genre_scores_gemma":[0.99481034,0.0036535151,0.00007482777,0.00019408384,0.0004160051,0.00047691306,0.000020300999,0.000019731036,0.00033431008],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9910628,0.002353091,0.0044694156,0.00017932024,0.0013977452,0.0005376128],"domain_scores_gemma":[0.97902644,0.015501438,0.0035253935,0.0005207341,0.00074212474,0.0006838661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017447412,0.00012817314,0.00088376395,0.00019740517,0.00026243858,0.000010514796,0.0005518438,0.0003411943,0.000028394768],"category_scores_gemma":[0.0053741573,0.000077853016,0.00011241328,0.00056522695,0.000104595005,0.0001087935,0.000067954046,0.0011962316,0.000021445965],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004118783,0.0007297054,0.9055951,0.007907846,0.000113009584,0.000005754065,0.0021909429,0.00078000716,0.00008647659,0.010178477,0.046266407,0.02202749],"study_design_scores_gemma":[0.01599669,0.00039018097,0.21530943,0.005366235,0.000033079596,0.00002032179,0.0024691992,0.0027931673,0.00001265743,0.00014913097,0.75728464,0.00017524899],"about_ca_topic_score_codex":0.0067269923,"about_ca_topic_score_gemma":0.0014988597,"teacher_disagreement_score":0.71101826,"about_ca_system_score_codex":0.00017985281,"about_ca_system_score_gemma":0.0030666133,"threshold_uncertainty_score":0.9998873},"labels":[],"label_agreement":null},{"id":"W2972392698","doi":"10.1007/s10916-019-1446-7","title":"Sizing Prenatal mPHRs using COSMIC Measurement Method","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"United States Agency for International Development","keywords":"Computer science; COSMIC cancer database; Sizing; Quality (philosophy); Physics; Astrophysics","score_opus":0.1362260410697798,"score_gpt":0.4918663500983479,"score_spread":0.3556403090285681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972392698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5334588,0.036903895,0.33422697,0.02435379,0.043209814,0.015265327,0.000040004157,0.00020485098,0.012336505],"genre_scores_gemma":[0.9890473,0.0006831008,0.0037885362,0.0020348332,0.003686834,0.0003355358,0.0000027094068,0.00005076814,0.0003703803],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9929286,0.0013464565,0.002050759,0.00019004596,0.0028546937,0.00062944315],"domain_scores_gemma":[0.99559814,0.00076243724,0.0014970414,0.00028934338,0.0006913074,0.0011617362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016194357,0.00014319363,0.0006319347,0.00016643864,0.0003337389,0.000011623614,0.0004324299,0.0003782814,0.0006399703],"category_scores_gemma":[0.0010732053,0.00010416663,0.00011695679,0.00022843239,0.000024858524,0.000111965914,0.000075613316,0.0014473342,0.00025028182],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020356625,0.002152215,0.2490729,0.08163698,0.0014001479,0.0004122162,0.009944069,0.0043231957,0.011203839,0.077786684,0.27582926,0.28420284],"study_design_scores_gemma":[0.006077047,0.00037511962,0.0025511654,0.012842871,0.00011447056,0.0005689181,0.00495093,0.031793,0.000037511658,0.00026704796,0.9401205,0.00030141574],"about_ca_topic_score_codex":0.0006058949,"about_ca_topic_score_gemma":0.000020555703,"teacher_disagreement_score":0.66429126,"about_ca_system_score_codex":0.00080174644,"about_ca_system_score_gemma":0.0036569107,"threshold_uncertainty_score":0.7007226},"labels":[],"label_agreement":null},{"id":"W2982205302","doi":"10.1007/s10916-019-1478-z","title":"Intra-Individual Variation of HRV during Orthostatic Challenge in Elite Male Field Hockey Players","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Field hockey; Elite; Variation (astronomy); Physical medicine and rehabilitation; Field (mathematics); Health informatics; Medicine; Political science; Business; Mathematics; Public health; Advertising; Physics","score_opus":0.01382134457296515,"score_gpt":0.2656305160373835,"score_spread":0.2518091714644184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982205302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924371,0.0006811648,0.00032310106,0.0050871493,0.00080378656,0.00032219742,0.000003192351,0.000005290117,0.0003370054],"genre_scores_gemma":[0.99911517,0.00020071946,0.000057690864,0.0001299066,0.00034797046,0.0000031871016,0.0000014818725,0.000008356294,0.00013549953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974047,0.00017816809,0.0011355088,0.00012262061,0.0009553783,0.00020361834],"domain_scores_gemma":[0.99873424,0.00041598786,0.0003877774,0.0001581173,0.0000956778,0.00020821346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029946843,0.00009879306,0.00062593113,0.00018603541,0.000014683331,0.000013595017,0.00014329777,0.00023562761,0.0006292237],"category_scores_gemma":[0.00082887517,0.00007519045,0.00011321822,0.00012218796,0.000020502335,0.00010736597,0.000026614622,0.0005647821,0.000020200161],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040015127,0.005322768,0.6483519,0.02384454,0.0031532203,0.003969004,0.046296377,0.0027210745,0.103051506,0.0053510726,0.0016932325,0.1522438],"study_design_scores_gemma":[0.029191164,0.0033713037,0.8869302,0.014638397,0.00037892477,0.0025805077,0.0047819815,0.041613214,0.000773673,0.000097973614,0.015149097,0.00049350766],"about_ca_topic_score_codex":0.0002146172,"about_ca_topic_score_gemma":0.000014701173,"teacher_disagreement_score":0.23857835,"about_ca_system_score_codex":0.0001039522,"about_ca_system_score_gemma":0.00039917429,"threshold_uncertainty_score":0.68895584},"labels":[],"label_agreement":null},{"id":"W2995359963","doi":"10.1007/s10916-019-1487-y","title":"Patients’ Perspectives on the Usability of a Mobile App for Self-Management following Spinal Cord Injury","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital; GF Strong Rehabilitation Centre; International Collaboration On Repair Discoveries; University of British Columbia","funders":"Rick Hansen Institute","keywords":"Usability; Spinal cord injury; Health informatics; Mobile apps; Self-management; Computer science; Medicine; Psychology; Spinal cord; Human–computer interaction; World Wide Web; Nursing; Neuroscience; Artificial intelligence; Public health","score_opus":0.030739979401537807,"score_gpt":0.42821201356509747,"score_spread":0.39747203416355964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995359963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820428,0.0007949811,0.00089784124,0.0027714395,0.003074473,0.008672178,0.000020853022,0.000023789727,0.0017016766],"genre_scores_gemma":[0.99596363,0.00027906016,0.00017809207,0.0004829706,0.0005080639,0.0024059038,0.0000019296208,0.00001527392,0.00016509839],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.995913,0.0005770566,0.0016116976,0.00019405018,0.0013004886,0.00040368887],"domain_scores_gemma":[0.9962211,0.0013524484,0.0012193348,0.00036425403,0.0004205874,0.00042226617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067146244,0.00012218449,0.00052217836,0.00009895258,0.00031566067,0.0000060389457,0.00044832306,0.00019705587,0.00018123184],"category_scores_gemma":[0.0006640555,0.00007126331,0.00021825415,0.00019310859,0.000042760254,0.000053557527,0.000063893516,0.00071648957,0.000052042662],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013567444,0.008220155,0.27885404,0.042089608,0.0013193171,0.0000120594605,0.013835374,0.000056106594,0.00006023677,0.3018543,0.1960641,0.14406726],"study_design_scores_gemma":[0.0066569056,0.010924387,0.026584746,0.005379741,0.0001511986,0.0000045982806,0.053891882,0.00065828,0.000004938808,0.00048475477,0.8950357,0.00022288287],"about_ca_topic_score_codex":0.00006450043,"about_ca_topic_score_gemma":0.0000026114164,"teacher_disagreement_score":0.69897157,"about_ca_system_score_codex":0.0003545568,"about_ca_system_score_gemma":0.0006398363,"threshold_uncertainty_score":0.31128305},"labels":[],"label_agreement":null},{"id":"W2997095280","doi":"10.1007/s10916-019-1481-4","title":"A Convolutional Neural Network for Real Time Classification, Identification, and Labelling of Vocal Cord and Tracheal Using Laryngoscopy and Bronchoscopy Video","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":91,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; SickKids Foundation; Hospital for Sick Children; Sunnybrook Hospital; University of Toronto","funders":"","keywords":"Convolutional neural network; Computer science; Laryngoscopy; Artificial intelligence; Bronchoscopy; Deep learning; Medicine; Pattern recognition (psychology); Speech recognition; Machine learning; Intubation; Radiology; Anesthesia","score_opus":0.05051334748377514,"score_gpt":0.33018020630886186,"score_spread":0.27966685882508674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997095280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97108924,0.0056397496,0.012641109,0.01004738,0.00021329064,0.00033386383,0.00001140407,0.000009229993,0.000014702865],"genre_scores_gemma":[0.9964436,0.0008052094,0.0014939462,0.00027546706,0.00092974084,0.0000035055102,0.000010427003,0.000014499646,0.000023585662],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981331,0.00008878428,0.0008266679,0.00016344963,0.0006250758,0.00016292895],"domain_scores_gemma":[0.9984944,0.00027039187,0.00046244118,0.00006521132,0.0002572362,0.00045034537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011578234,0.000104863895,0.00047306216,0.000050576156,0.00008454988,0.000032445183,0.00007539677,0.00016005596,0.000014770479],"category_scores_gemma":[0.000454804,0.000084921136,0.000052733692,0.00011978071,0.00019481688,0.00011952195,0.000018690329,0.0002353061,5.4942274e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011502183,0.0009881654,0.5954758,0.012674131,0.0020990218,0.0002142648,0.0068267817,0.00078575336,0.2636575,0.0068099624,0.06857942,0.030386996],"study_design_scores_gemma":[0.008346146,0.002120688,0.08292726,0.0015237478,0.00068058184,0.0015870719,0.0017651698,0.895904,0.00017691046,0.00020348383,0.0045142174,0.00025072243],"about_ca_topic_score_codex":0.000057241305,"about_ca_topic_score_gemma":0.0000025184938,"teacher_disagreement_score":0.89511824,"about_ca_system_score_codex":0.000026144848,"about_ca_system_score_gemma":0.00018593903,"threshold_uncertainty_score":0.34629834},"labels":[],"label_agreement":null},{"id":"W3003751418","doi":"10.1007/s10916-020-1526-8","title":"Using Google Trends to Predict Pediatric Respiratory Syncytial Virus Encounters at a Major Health Care System","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Respiratory viral infections research","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Health care; Health informatics; Population; Pediatrics; Family medicine; Public health; Environmental health; Nursing","score_opus":0.09081096290765438,"score_gpt":0.40584317565596095,"score_spread":0.31503221274830656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003751418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97245455,0.015330401,0.0026011076,0.0045730714,0.0029357872,0.00087657693,0.000062011575,0.000120867044,0.0010456332],"genre_scores_gemma":[0.98992807,0.00005677304,0.00009762321,0.0019604038,0.007800494,0.000017557173,0.0000029166338,0.00006084935,0.000075299395],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99218494,0.0007352637,0.001842961,0.00036292293,0.004272706,0.0006012069],"domain_scores_gemma":[0.9951971,0.00012814153,0.00071242993,0.00031751406,0.0005210538,0.0031237574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024949892,0.0002721198,0.0011317963,0.00078553986,0.00024008477,0.00008234914,0.0004632898,0.00032091333,0.0002316868],"category_scores_gemma":[0.0010049919,0.00020536727,0.00032954663,0.0012565563,0.00007642748,0.00016539164,0.00019033505,0.0010463371,0.00011262105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01005655,0.0012141721,0.23317112,0.038938366,0.002211557,0.025922537,0.014964782,0.0032627182,0.03160202,0.0002971308,0.61579096,0.02256807],"study_design_scores_gemma":[0.036605056,0.051382322,0.022210386,0.014715704,0.0018491257,0.02353534,0.022612227,0.022904865,0.0019949626,8.12133e-7,0.8001567,0.0020324746],"about_ca_topic_score_codex":0.00040104784,"about_ca_topic_score_gemma":0.000029023338,"teacher_disagreement_score":0.21096075,"about_ca_system_score_codex":0.003053963,"about_ca_system_score_gemma":0.002470005,"threshold_uncertainty_score":0.83746344},"labels":[],"label_agreement":null},{"id":"W3025469014","doi":"10.1007/s10916-020-01607-5","title":"Machine Learning as a Catalyst for Value-Based Health Care","year":2020,"lang":"en","type":"preprint","venue":"Journal of Medical Systems","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Artificial intelligence; Argument (complex analysis); Value (mathematics); Health care; Machine learning; Computer science; Medicine; Political science","score_opus":0.5578999493099807,"score_gpt":0.5849380856418722,"score_spread":0.02703813633189156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025469014","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021044564,0.119635865,0.04667984,0.76324236,0.0379135,0.009087544,0.0006940051,0.00035694582,0.0013453931],"genre_scores_gemma":[0.9372664,0.0026006873,0.0017401022,0.03974912,0.016776366,0.00048565285,0.0006806821,0.0002675588,0.000433422],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.97510165,0.013834484,0.004974365,0.00061407214,0.004448457,0.0010269663],"domain_scores_gemma":[0.9794606,0.00671224,0.008789604,0.0005647573,0.0016388468,0.0028339748],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.02785901,0.0004973672,0.0025195542,0.00033691974,0.00096631766,0.00008034111,0.0014449714,0.001775395,0.00019747394],"category_scores_gemma":[0.027492035,0.0003915613,0.0006101663,0.0002486093,0.000100751095,0.00012931821,0.00061979424,0.013571666,0.00014059298],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0047937077,0.0010248867,0.057049565,0.571714,0.0028388698,0.002041978,0.09828829,0.0038097086,0.00003297974,0.010825397,0.20532978,0.04225083],"study_design_scores_gemma":[0.0055231205,0.0021915843,0.0004629639,0.04380444,0.0003098593,0.000119075135,0.026999997,0.015655778,0.0000032585976,0.0004562994,0.9038344,0.00063919637],"about_ca_topic_score_codex":0.023788624,"about_ca_topic_score_gemma":0.0005344524,"teacher_disagreement_score":0.91622186,"about_ca_system_score_codex":0.0023453177,"about_ca_system_score_gemma":0.032095645,"threshold_uncertainty_score":0.9998536},"labels":[],"label_agreement":null},{"id":"W3046222537","doi":"10.1007/s10916-020-01625-3","title":"Developing and Sustaining an Open Source Electronic Health Record: Evidence from a Field Study in Japan","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Interoperability; Health informatics; Sustainability; Business; Corporate governance; Knowledge management; Health care; Open source; Informatics; Health records; Quality (philosophy); Public relations; Medicine; World Wide Web; Computer science; Political science; Nursing; Public health; Software; Finance","score_opus":0.18591062111263254,"score_gpt":0.506887537231223,"score_spread":0.32097691611859047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046222537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91284263,0.0062154476,0.0068614003,0.07067712,0.0009761243,0.002352802,0.0000010701573,0.000032194705,0.00004121777],"genre_scores_gemma":[0.9915822,0.0010922122,0.00018088508,0.0052646445,0.001701064,0.000077104414,0.0000011180757,0.000040038147,0.000060748618],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9877735,0.0061130994,0.0030699526,0.00043079065,0.0014322625,0.00118041],"domain_scores_gemma":[0.99294364,0.0034615165,0.0017352245,0.00026012873,0.0002181408,0.001381318],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.018820176,0.00022185035,0.001313638,0.00015997112,0.00039938372,0.00008148539,0.0012896253,0.00034494797,0.00012651253],"category_scores_gemma":[0.005812187,0.00017632284,0.000038179372,0.00048261942,0.000023393923,0.0005171569,0.00042146118,0.0033811035,0.000014666529],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006270136,0.00017119809,0.8705558,0.0017685292,0.00011795524,0.00013747356,0.070627324,0.0000142824165,0.000019796047,0.00049583917,0.0050516776,0.05041309],"study_design_scores_gemma":[0.0178498,0.03676536,0.11180147,0.058024786,0.00009012224,0.00032224722,0.61879516,0.022722073,0.0000042048223,0.00047338934,0.13194332,0.001208102],"about_ca_topic_score_codex":0.062320814,"about_ca_topic_score_gemma":0.015152036,"teacher_disagreement_score":0.7587544,"about_ca_system_score_codex":0.0015565394,"about_ca_system_score_gemma":0.013470909,"threshold_uncertainty_score":0.9989181},"labels":[],"label_agreement":null},{"id":"W3047852284","doi":"10.1007/s10916-020-01627-1","title":"AutoAudio: Deep Learning for Automatic Audiogram Interpretation","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Music and Audio Processing","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"Connaught Fund","keywords":"Audiogram; Health informatics; Computer science; Interpretation (philosophy); Artificial intelligence; Machine learning; Natural language processing; Medicine; Audiology; Hearing loss; Public health; Pathology; Programming language","score_opus":0.02019104751952235,"score_gpt":0.280512578765623,"score_spread":0.2603215312461007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047852284","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005001977,0.001213112,0.9794981,0.012935096,0.0010571702,0.000100332334,1.0352294e-7,0.00006882667,0.00012529091],"genre_scores_gemma":[0.987394,0.000022151295,0.010647624,0.0011212548,0.00077729044,0.000005437897,3.9442938e-7,0.000008041559,0.000023856825],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978572,0.00013030852,0.0006595196,0.00013319145,0.0010382157,0.00018157481],"domain_scores_gemma":[0.9985103,0.00026380792,0.0006306984,0.000074959,0.00016548128,0.00035475593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015116568,0.00009053241,0.0003173167,0.0000665891,0.000089121626,0.00023769178,0.0007877973,0.00009552587,0.000021849282],"category_scores_gemma":[0.0015147033,0.0000658883,0.0001376772,0.0002466231,0.000026526557,0.00037279693,0.00007483621,0.00033512156,0.000011588565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022151542,0.000052855128,0.00047885097,0.0012385705,0.0001304655,0.00011536786,0.0071742833,0.0033346557,0.00026850592,0.0022497568,0.014913455,0.97002107],"study_design_scores_gemma":[0.00049501157,0.00026800143,0.00011700343,0.0006072413,0.000014884315,0.00017881952,0.00019045573,0.9836726,0.000028695233,0.00013035144,0.014219746,0.00007715298],"about_ca_topic_score_codex":0.0000028678649,"about_ca_topic_score_gemma":2.2331999e-7,"teacher_disagreement_score":0.98239195,"about_ca_system_score_codex":0.000036992224,"about_ca_system_score_gemma":0.00016671642,"threshold_uncertainty_score":0.2686847},"labels":[],"label_agreement":null},{"id":"W3090921107","doi":"10.1007/s10916-020-01656-w","title":"Integrating Eye-Tracking to Augmented Reality System for Surgical Training","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Augmented reality; Computer science; Training system; Human–computer interaction; Moment (physics); Eye tracking; Training (meteorology); Health informatics; Tracking (education); Multimedia; Simulation; Artificial intelligence; Medicine; Psychology","score_opus":0.09075717736063137,"score_gpt":0.3654061530874116,"score_spread":0.2746489757267802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090921107","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006905438,0.00015407785,0.9479481,0.043338213,0.0008265436,0.0004371867,0.0000069594466,0.00010369048,0.0002797711],"genre_scores_gemma":[0.99312514,0.0000058759756,0.005104891,0.0003466627,0.0013488657,0.000038941762,0.000002281821,0.000013676782,0.000013648247],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960118,0.00029107445,0.0013631434,0.00028905002,0.0017096394,0.00033530415],"domain_scores_gemma":[0.9970804,0.0005511822,0.0006855607,0.0002548214,0.00036461538,0.0010634114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043561677,0.00015280687,0.0005600026,0.0000876958,0.00015432302,0.00022763018,0.0015880183,0.00016368518,0.0000052732344],"category_scores_gemma":[0.0012118281,0.00011493499,0.00019891077,0.0005237077,0.000034274737,0.00024997955,0.00017445319,0.0004723336,0.000010219222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037886464,0.0005532341,0.0005894802,0.0040414636,0.0010055526,0.0015549232,0.0410437,0.012181616,0.0046860003,0.65034014,0.05415932,0.22946571],"study_design_scores_gemma":[0.003022311,0.00064442656,0.00013859925,0.0030405093,0.000057763205,0.0013434088,0.009417709,0.8560632,0.00045306486,0.00010403076,0.12534946,0.00036551227],"about_ca_topic_score_codex":0.00006299402,"about_ca_topic_score_gemma":0.0000032796008,"teacher_disagreement_score":0.9862197,"about_ca_system_score_codex":0.00021534375,"about_ca_system_score_gemma":0.0003342328,"threshold_uncertainty_score":0.4686913},"labels":[],"label_agreement":null},{"id":"W3099967396","doi":"10.1007/s10916-020-01675-7","title":"Low-Cost Office-Based Cardiovascular Risk Stratification Using Machine Learning and Focused Carotid Ultrasound in an Asian-Indian Cohort","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Cohort; Framingham Risk Score; Blood pressure; Body mass index; Diabetes mellitus; Internal medicine; Kidney disease; Cardiology; Ultrasound; Disease; Radiology; Endocrinology","score_opus":0.021650490481765223,"score_gpt":0.28754433207589686,"score_spread":0.26589384159413165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099967396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97559875,0.007721965,0.015012588,0.00045553784,0.00025923376,0.0008787183,0.000012115004,0.00002169069,0.0000393995],"genre_scores_gemma":[0.99834645,0.00053320656,0.00020527975,0.000082265695,0.0007537148,0.000008668911,0.000044892422,0.000023218769,0.0000022880433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958247,0.000967762,0.0008665523,0.00025126198,0.0018461033,0.00024363681],"domain_scores_gemma":[0.9977548,0.00012380614,0.00038673542,0.00019126166,0.0001818737,0.0013615042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039365925,0.00015645138,0.0007871722,0.00014099506,0.00010630009,0.00007385354,0.0001009088,0.00021430032,0.000050753806],"category_scores_gemma":[0.0019938452,0.0001310623,0.00044041843,0.00027028404,0.000049772476,0.00013720879,0.000011511539,0.0008369639,0.0000033340782],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011003084,0.00036703676,0.9681812,0.0028504743,0.0011661196,0.0012381335,0.00065145374,0.005061679,0.0015589463,0.0000062893773,0.00006716053,0.017751217],"study_design_scores_gemma":[0.040511545,0.001442489,0.78803945,0.0064959894,0.0052324953,0.0049527525,0.0028715117,0.14257458,0.0007618083,0.000011514693,0.006211976,0.0008938752],"about_ca_topic_score_codex":0.0011242209,"about_ca_topic_score_gemma":0.00006258058,"teacher_disagreement_score":0.18014172,"about_ca_system_score_codex":0.00016518544,"about_ca_system_score_gemma":0.0007135573,"threshold_uncertainty_score":0.53445655},"labels":[],"label_agreement":null},{"id":"W3104956893","doi":"10.1007/s10916-020-01671-x","title":"Proof-of-Concept Study: a Mobile Application to Derive Clinical Outcome Measures from Expression and Speech for Mental Health Status Evaluation","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Psychosomatic Disorders and Their Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Materials Research; Trent University; Nottingham Trent University","keywords":"Sadness; Disgust; Facial expression; Happiness; Anger; Emotional expression; Psychology; Autism spectrum disorder; Social media; Expressed emotion; Mental health; Clinical psychology; Cognitive psychology; Computer science; Psychiatry; Social psychology; Autism; Communication","score_opus":0.11254964342778528,"score_gpt":0.4530760599109562,"score_spread":0.3405264164831709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3104956893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9596894,0.0035950022,0.0249325,0.006051761,0.0007084372,0.004959102,0.000039370247,0.0000079275005,0.00001654868],"genre_scores_gemma":[0.9980834,0.0000521108,0.00091247476,0.00041057818,0.00037428795,0.00013007873,0.00001917814,0.00001220156,0.0000056657314],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9965604,0.00027393646,0.0012720823,0.00018776376,0.0015637203,0.00014208158],"domain_scores_gemma":[0.998101,0.00017551731,0.00068838603,0.00012213491,0.00020390748,0.0007090786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002025413,0.000107113774,0.00068713387,0.00004266982,0.000040784373,0.000013196512,0.00010347579,0.00008679874,0.000024393465],"category_scores_gemma":[0.0007392651,0.00006861827,0.000098437595,0.00008072878,0.000031625284,0.000047117945,0.000026963575,0.00014447191,0.0000012660817],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031426852,0.005815635,0.34242806,0.00078163,0.0011579833,0.000017433524,0.026082115,0.00005688996,0.0007911094,0.000014865294,0.016184758,0.60352683],"study_design_scores_gemma":[0.23024881,0.13105932,0.24797808,0.023870055,0.002835949,0.00031970805,0.16342823,0.09517078,0.0037806467,0.00089657516,0.099096015,0.0013158396],"about_ca_topic_score_codex":0.00014286164,"about_ca_topic_score_gemma":0.000006771012,"teacher_disagreement_score":0.602211,"about_ca_system_score_codex":0.00008113568,"about_ca_system_score_gemma":0.00028046442,"threshold_uncertainty_score":0.27981716},"labels":[],"label_agreement":null},{"id":"W3119595249","doi":"10.1007/s10916-021-01706-x","title":"Impact of Digital Health Monitoring in the Management of Inflammatory Bowel Disease","year":2021,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; University of Toronto; McMaster University","funders":"Crohn's and Colitis Canada","keywords":"Medicine; Inflammatory bowel disease; Quality of life (healthcare); Health care; Disease; Disease management; Health informatics; Patient satisfaction; Digital health; Internal medicine; Public health; Surgery; Pathology; Nursing","score_opus":0.04690505437217928,"score_gpt":0.45585449529541194,"score_spread":0.40894944092323265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119595249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97571,0.011622775,0.0005117179,0.008481869,0.0014166019,0.0015403639,0.000039669158,0.000007748161,0.00066927966],"genre_scores_gemma":[0.9953868,0.0036861068,0.000036462454,0.00010590898,0.000529254,0.00018214685,0.000004103499,0.000009736123,0.000059517482],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953249,0.0006490296,0.0021700538,0.00010406559,0.0013705748,0.0003813481],"domain_scores_gemma":[0.9966794,0.00052894716,0.0014040443,0.00030504513,0.00026441843,0.0008180902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042107534,0.00009330477,0.00042794578,0.000107068256,0.00012491277,0.0000070245806,0.0003615455,0.000108434215,0.000055328936],"category_scores_gemma":[0.00030249095,0.000056901208,0.00014990979,0.00028117502,0.00004455751,0.000086647466,0.00006610832,0.0007194795,0.000006719382],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001643892,0.00053352996,0.9581069,0.014909758,0.00010953909,0.00019903517,0.0016092701,0.00012588865,0.000004576847,0.0042365645,0.0073629348,0.01263766],"study_design_scores_gemma":[0.0019978217,0.00018898399,0.9662095,0.009344351,0.00002662765,0.00003791502,0.008683521,0.00016883359,6.839366e-7,0.0001904428,0.013086013,0.000065347565],"about_ca_topic_score_codex":0.000178929,"about_ca_topic_score_gemma":0.0000067707165,"teacher_disagreement_score":0.019676788,"about_ca_system_score_codex":0.0002840351,"about_ca_system_score_gemma":0.0037360736,"threshold_uncertainty_score":0.6627634},"labels":[],"label_agreement":null},{"id":"W3169658944","doi":"10.1007/s10916-021-01746-3","title":"Assessing Patient Proficiency with Internet-Connected Technology and Their Preferences for E-Health in Cirrhosis","year":2021,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Alexandra Hospital; University of Alberta","funders":"Astellas Pharma; Mitacs; Astellas Pharma Canada","keywords":"Medicine; Health care; Patient portal; Population; Telemedicine; Family medicine; Self-management; Health informatics; Telehealth; Nursing; Public health; Environmental health","score_opus":0.06926836078417811,"score_gpt":0.4209918740660965,"score_spread":0.3517235132819184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169658944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.977621,0.0057141264,0.00656387,0.00857744,0.0010155636,0.00033008822,0.0000037001464,0.000011620069,0.00016258635],"genre_scores_gemma":[0.99918485,0.000104258455,0.00010436943,0.00044133875,0.00008842986,0.00003000073,0.0000016434328,0.000007940627,0.000037142207],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9983393,0.00024128963,0.00067580893,0.00017949242,0.00029614277,0.0002679464],"domain_scores_gemma":[0.9988071,0.00031083846,0.0004537917,0.00009840659,0.000117355194,0.0002125198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011877968,0.00009530806,0.00040592416,0.0002460852,0.000041596966,0.00003562284,0.00014845029,0.00016053057,0.00005933113],"category_scores_gemma":[0.00023518487,0.000057034984,0.00003055722,0.0003420695,0.00007107578,0.00006737314,0.000035150275,0.00035051204,0.0000010198347],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048666864,0.0016652795,0.26929766,0.0021691902,0.00021936453,0.0003464593,0.018309824,0.000004582306,0.0002431102,0.008359863,0.0027527409,0.69614524],"study_design_scores_gemma":[0.02728324,0.032581262,0.2967078,0.036430188,0.00012318252,0.016621575,0.4128192,0.004755046,0.0014514495,0.0036343995,0.1662671,0.0013255416],"about_ca_topic_score_codex":0.00035697047,"about_ca_topic_score_gemma":0.00022990996,"teacher_disagreement_score":0.6948197,"about_ca_system_score_codex":0.00019906502,"about_ca_system_score_gemma":0.0011284953,"threshold_uncertainty_score":0.23258191},"labels":[],"label_agreement":null},{"id":"W3182904928","doi":"10.1007/s10916-021-01753-4","title":"Surgical Tray Optimization: a Quality Improvement Initiative that Reduces Operating Room Costs","year":2021,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; Toronto East General Hospital; University of Toronto; Sunnybrook Health Science Centre; Sinai Health System; Health Sciences Centre","funders":"","keywords":"Tray; Medicine; Operations management; Patient safety; Otorhinolaryngology; Surgery; Health care; Engineering","score_opus":0.0509421618763526,"score_gpt":0.3499683211004074,"score_spread":0.2990261592240548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182904928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90096027,0.013475973,0.0070644314,0.04969785,0.003782222,0.00066919235,0.000010500827,0.000057622852,0.024281967],"genre_scores_gemma":[0.99525684,0.0008747631,0.0005402491,0.00077937765,0.0017070761,0.00000881698,0.000012669529,0.000018471064,0.0008017359],"study_design_codex":"case_report","study_design_gemma":"not_applicable","domain_scores_codex":[0.9948374,0.0007493824,0.0012399269,0.00020304344,0.002707097,0.000263124],"domain_scores_gemma":[0.99698293,0.0012936562,0.00045437767,0.00016906932,0.0003649391,0.0007350322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003962893,0.00017435382,0.0013186635,0.00007034271,0.00008582536,0.00010216922,0.00014550699,0.00025478494,0.0005883639],"category_scores_gemma":[0.0017346585,0.000112532514,0.00056658353,0.00019467731,0.00006907779,0.00013476027,0.000042650703,0.00056585687,0.0000072247058],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005959908,0.013711606,0.27617872,0.006011628,0.015006983,0.35070306,0.014960488,0.009920712,0.0066388766,0.03418801,0.03201106,0.23470896],"study_design_scores_gemma":[0.074665025,0.0057194633,0.04094244,0.017811531,0.0022669032,0.15074004,0.06354043,0.023820972,0.01404622,0.00002847523,0.6040404,0.0023781273],"about_ca_topic_score_codex":0.000035130248,"about_ca_topic_score_gemma":0.0000017708685,"teacher_disagreement_score":0.5720293,"about_ca_system_score_codex":0.00021468363,"about_ca_system_score_gemma":0.0008158881,"threshold_uncertainty_score":0.64421725},"labels":[],"label_agreement":null},{"id":"W3207032674","doi":"10.1007/s10916-021-01781-0","title":"An Environmental Scan of Anesthesia Information Management Systems in the American and Canadian Marketplace","year":2021,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; University of British Columbia; University of Victoria; Island Health","funders":"","keywords":"Documentation; Usability; Procurement; Computer science; Health informatics; Information system; Medical record; Medicine; Business; Human–computer interaction","score_opus":0.015085315453964833,"score_gpt":0.34821867958375535,"score_spread":0.3331333641297905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207032674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98880124,0.0030128802,0.00017446674,0.005177201,0.00081849576,0.0008076743,0.000008988945,0.0000056883323,0.0011933881],"genre_scores_gemma":[0.9979224,0.0009946051,0.000030126728,0.0006072348,0.00031895933,0.00003855549,0.000007484552,0.0000108734,0.00006974788],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9929171,0.0033217263,0.0016986687,0.00010795124,0.0014487205,0.0005058143],"domain_scores_gemma":[0.9973272,0.00046960177,0.0012300886,0.00026786412,0.00008132952,0.0006239342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010024348,0.00012350015,0.000550328,0.00026886145,0.00017321156,0.00003055029,0.00039927202,0.0001631668,0.000047622267],"category_scores_gemma":[0.00014840368,0.00008368471,0.00004221718,0.00030087787,0.000085869564,0.00023936314,0.000023318635,0.0008123411,0.000012257569],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005031686,0.00069770764,0.8015737,0.016666953,0.00050298736,0.00631351,0.03509803,0.00032741693,0.00014386479,0.012118696,0.047821842,0.078232154],"study_design_scores_gemma":[0.002859224,0.00082748267,0.38282165,0.0052762665,0.000069264104,0.007919844,0.22348398,0.0069129765,0.0000018595186,0.000023099275,0.36952254,0.0002818066],"about_ca_topic_score_codex":0.08791545,"about_ca_topic_score_gemma":0.0141389435,"teacher_disagreement_score":0.41875204,"about_ca_system_score_codex":0.00097177,"about_ca_system_score_gemma":0.001664353,"threshold_uncertainty_score":0.9181582},"labels":[],"label_agreement":null},{"id":"W4295778985","doi":"10.1007/s10916-022-01847-7","title":"IVR System Use by Patients with Heart Failure: Compliance and Services Utilization Patterns","year":2022,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Interactive voice response; Medicine; Heart failure; Medical emergency; Health informatics; Emergency medicine; Telemedicine; Intervention (counseling); Health care; Compliance (psychology); Intensive care medicine; Public health; Internal medicine; Nursing; Telecommunications","score_opus":0.026539858440262642,"score_gpt":0.2660650603283378,"score_spread":0.2395252018880752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295778985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991026,0.00065878546,0.0011638519,0.0060805525,0.00044933544,0.00054791063,0.000026411255,0.000026819092,0.000020325424],"genre_scores_gemma":[0.99920976,0.000027954706,0.00010654972,0.00031937307,0.000117016854,0.000017112965,0.00003994509,0.000014956591,0.00014731802],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973518,0.00015456114,0.00044405457,0.0001328818,0.0017535182,0.00016318218],"domain_scores_gemma":[0.99909836,0.00005452462,0.00025836824,0.00012483438,0.00013867518,0.00032521895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005666649,0.000116762734,0.00038336273,0.00008144853,0.000116944466,0.000052943506,0.0000967622,0.00004844277,0.00009040967],"category_scores_gemma":[0.000018846546,0.00007548358,0.00003831305,0.00013428411,0.000021979102,0.00013892847,0.00006323707,0.00022803819,0.0000036942874],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020286848,0.00040263604,0.94408226,0.0016606605,0.00021754035,0.00014520744,0.0001757481,0.0000166749,0.000016067837,0.000078871206,0.052462578,0.000538874],"study_design_scores_gemma":[0.01128267,0.00308622,0.19146554,0.005294758,0.00043107723,0.0013069916,0.004945684,0.0027539018,0.000016222471,0.0000010995402,0.7791565,0.00025931405],"about_ca_topic_score_codex":0.0001941463,"about_ca_topic_score_gemma":0.000011410473,"teacher_disagreement_score":0.75261676,"about_ca_system_score_codex":0.00015347569,"about_ca_system_score_gemma":0.000057184814,"threshold_uncertainty_score":0.30781308},"labels":[],"label_agreement":null},{"id":"W4307090988","doi":"10.1007/s10916-022-01875-3","title":"Developing Data Sharing Models for Health Research with Real-World Data: A Scoping Review of Patient and Public Preferences","year":2022,"lang":"en","type":"review","venue":"Journal of Medical Systems","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; University of British Columbia","funders":"Genome Canada","keywords":"Data sharing; Health informatics; Data extraction; Incentive; Data collection; Informatics; Computer science; Preference; Health care; Public health; Knowledge management; Data science; Medicine; MEDLINE; Nursing; Engineering; Political science","score_opus":0.9675750562046601,"score_gpt":0.7337859745727608,"score_spread":0.23378908163189926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307090988","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000002926317,0.9855703,0.0012628235,0.008466131,0.0003448355,0.0040134927,0.00016282224,0.000008533403,0.00016814067],"genre_scores_gemma":[0.0000103428065,0.9958092,0.0027176882,0.00023167192,0.0006181026,0.00015012144,0.0003556599,0.00006174774,0.000045481458],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9773085,0.0026841364,0.005673041,0.0011012335,0.01241193,0.00082115375],"domain_scores_gemma":[0.89483553,0.08084266,0.00996879,0.006704899,0.004385872,0.0032622444],"candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.14941193,0.0003024255,0.0050391485,0.000782328,0.00024301012,0.00013633998,0.0048918137,0.0003461006,0.000062383195],"category_scores_gemma":[0.08186776,0.00017792039,0.00016784658,0.0013896074,0.00052357995,0.0003721543,0.0055546085,0.0070170965,6.632009e-7],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003576995,0.00007924582,0.000021833988,0.66431224,0.00032836836,0.000051611278,0.000031149215,1.6833634e-7,1.3410912e-9,0.0027428623,0.0019505286,0.33044624],"study_design_scores_gemma":[0.00033896184,0.00089283194,4.4780884e-7,0.68271095,0.00019877718,0.00037114913,0.00016883374,0.0002874683,5.912077e-9,0.0002315155,0.31469887,0.000100223704],"about_ca_topic_score_codex":0.0006937748,"about_ca_topic_score_gemma":0.0010599357,"teacher_disagreement_score":0.33034602,"about_ca_system_score_codex":0.0007252835,"about_ca_system_score_gemma":0.04248588,"threshold_uncertainty_score":0.99527377},"labels":[],"label_agreement":null},{"id":"W4313357547","doi":"10.1007/s10916-022-01897-x","title":"A Simulation Modelling Study of Referral Distribution Policies in a Centralized Intake System for Surgical Consultation","year":2022,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Health Services; Alberta Health; Alberta Bone and Joint Health Institute; University of Calgary","funders":"","keywords":"Referral; Medicine; Discrete event simulation; Medical emergency; Health informatics; Family medicine; Public health; Nursing; Simulation; Computer science","score_opus":0.15700222054599444,"score_gpt":0.4699699324594773,"score_spread":0.3129677119134829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313357547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90597886,0.00014103658,0.090538405,0.0007152558,0.0011241756,0.001422492,0.00005261275,0.00001194932,0.00001523276],"genre_scores_gemma":[0.99932146,0.000013145901,0.000135091,0.000014904273,0.00027270455,0.00014272801,0.00006194059,0.0000105252975,0.000027475344],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9944347,0.00204478,0.002048714,0.00011099857,0.0011311508,0.00022962513],"domain_scores_gemma":[0.996635,0.0014462288,0.0009874499,0.000090956644,0.00068751903,0.00015283481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00632762,0.00008326635,0.00046238213,0.00016538127,0.00044713632,0.000011225889,0.00014197051,0.00014881007,0.0000322964],"category_scores_gemma":[0.0009887527,0.00006797574,0.000059246806,0.00036676432,0.0000149834095,0.00007338175,0.000033096356,0.0005949277,4.950246e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005085693,0.0002827519,0.005879747,0.000423628,0.000021885486,0.00001223181,0.008764935,0.9816414,0.0000031487232,0.0022730567,0.00006745756,0.00012117381],"study_design_scores_gemma":[0.006700915,0.0005018293,0.0003886526,0.0005271255,0.000021845754,0.00001715222,0.06989298,0.9206646,3.9857522e-7,0.000007656504,0.0012228277,0.000054027005],"about_ca_topic_score_codex":0.0017566421,"about_ca_topic_score_gemma":0.00007651986,"teacher_disagreement_score":0.09334265,"about_ca_system_score_codex":0.00069583475,"about_ca_system_score_gemma":0.00068643753,"threshold_uncertainty_score":0.34390563},"labels":[],"label_agreement":null},{"id":"W4316465168","doi":"10.1007/s10916-023-01908-5","title":"Efficacy and Patients’ Satisfaction with the ORCAM MyEye Device Among Visually Impaired People: A Multicenter Study","year":2023,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; University of Toronto","funders":"","keywords":"Health informatics; Visually impaired; Multicenter study; Patient satisfaction; Medicine; Public health; Internal medicine; Nursing; Optometry; Randomized controlled trial","score_opus":0.024549471655742273,"score_gpt":0.34760698816888524,"score_spread":0.32305751651314296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316465168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961922,0.00016604038,0.000017620268,0.002172985,0.0005403566,0.0008637875,9.634675e-7,0.00002772037,0.000018295043],"genre_scores_gemma":[0.99937546,0.00006063097,0.0000031981574,0.00010242213,0.00031722078,0.000019256615,0.0000015837728,0.000015234035,0.00010497314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975311,0.00030529284,0.0005144457,0.00014145751,0.0012773615,0.00023035311],"domain_scores_gemma":[0.9985277,0.0004931451,0.00035321433,0.00011774538,0.00023551127,0.00027265685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017166004,0.0001487589,0.0004840503,0.00011642161,0.00018500503,0.000032556167,0.00010309248,0.00010812943,0.000033875927],"category_scores_gemma":[0.00061011274,0.00007029076,0.00005443618,0.00030351232,0.00012719787,0.0001043164,0.00007292984,0.00044220017,0.000013871944],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080757635,0.0008309357,0.990419,0.00016005043,0.00054319156,0.00022590555,0.003608957,0.0000035931753,0.000008651441,0.0000019222682,0.002670595,0.0007196726],"study_design_scores_gemma":[0.008409593,0.007736339,0.97223634,0.0006405526,0.0003209783,0.0002517304,0.009835205,0.00039023545,9.652737e-7,3.3857526e-7,0.00010591873,0.00007178184],"about_ca_topic_score_codex":0.00025645,"about_ca_topic_score_gemma":0.00011263851,"teacher_disagreement_score":0.018182587,"about_ca_system_score_codex":0.000049607388,"about_ca_system_score_gemma":0.00007887881,"threshold_uncertainty_score":0.28663737},"labels":[],"label_agreement":null},{"id":"W4318457299","doi":"10.1007/s10916-023-01913-8","title":"Validity of the Paediatric Canadian Triage Acuity Scale in a Tertiary Hospital: An Analysis of Severity Markers' Variability","year":2023,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Universidade do Porto","keywords":"Triage; Medicine; Overcrowding; Receiver operating characteristic; Emergency medicine; Surrogate endpoint; Retrospective cohort study; Emergency department; Tertiary care; Severity of illness; Intensive care; Intensive care medicine; Internal medicine; Nursing","score_opus":0.014940849220277328,"score_gpt":0.2905076818854813,"score_spread":0.275566832665204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318457299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944717,0.00038270018,0.000030642223,0.0032173204,0.0013579567,0.0002647587,0.000077753895,0.000006745531,0.00019040692],"genre_scores_gemma":[0.9990611,0.0005547658,0.000009217244,0.00006082108,0.0002742793,0.000004201328,0.000006337967,0.0000066460634,0.000022621594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99606365,0.00086599734,0.0012396094,0.00015628079,0.0014222419,0.00025219723],"domain_scores_gemma":[0.9979271,0.00041065688,0.0005236545,0.00034328725,0.00034589574,0.00044939708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009346141,0.00012031971,0.00095315854,0.0004919988,0.00005156817,0.0000048618854,0.0003721973,0.00021141325,0.00012073399],"category_scores_gemma":[0.004140477,0.00007171433,0.0004998321,0.0022348342,0.00013099625,0.00007955608,0.00007770827,0.00047114055,7.2392027e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045038603,0.00020711358,0.992585,0.00034060725,0.00054390705,0.0000695271,0.000762746,0.00002159534,0.000031148516,0.00001081234,0.004903471,0.0004790409],"study_design_scores_gemma":[0.0007381977,0.00018777189,0.99316067,0.0002798744,0.0010747524,0.000015610634,0.0014933797,0.002512557,0.000022867504,0.000032172626,0.0004194256,0.000062712],"about_ca_topic_score_codex":0.03673573,"about_ca_topic_score_gemma":0.018857313,"teacher_disagreement_score":0.017878413,"about_ca_system_score_codex":0.00020135088,"about_ca_system_score_gemma":0.0007559822,"threshold_uncertainty_score":0.99904597},"labels":[],"label_agreement":null},{"id":"W4320032798","doi":"10.1007/s10916-023-01920-9","title":"The Current State and Usage of European Electronic Cross-border Health Services (eHDSI)","year":2023,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"České Vysoké Učení Technické v Praze","keywords":"European union; Medical prescription; Health informatics; Documentation; Quarter (Canadian coin); Service (business); Health care; Phase (matter); Commission; Business; Medicine; Computer science; Political science; Nursing; Marketing; Law; Finance","score_opus":0.031042915120341456,"score_gpt":0.5106839530565129,"score_spread":0.47964103793617147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320032798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8179835,0.11146509,0.0013826729,0.054206703,0.007898249,0.004628428,0.00007802193,0.00010908999,0.0022482537],"genre_scores_gemma":[0.89332986,0.10252035,0.000009113952,0.0012134542,0.0012433475,0.00023951645,0.0000082647075,0.000038292244,0.0013978252],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99416643,0.0015584385,0.0021433001,0.00014899876,0.0011471119,0.0008357173],"domain_scores_gemma":[0.9955517,0.0011518835,0.0017699425,0.00024835728,0.00032329987,0.00095482747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015984634,0.00011631405,0.00043750534,0.000112793205,0.00092523184,0.000022230073,0.0003943283,0.00007051253,0.000057962217],"category_scores_gemma":[0.0002646416,0.00006822215,0.000059129,0.00038500372,0.000111647976,0.00006726196,0.00011907358,0.0014137579,0.00011758811],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002031881,0.00018621034,0.04166173,0.015382402,0.000085506465,0.000019052024,0.0040615327,0.00004828939,0.000010722594,0.0071305656,0.053010624,0.8782002],"study_design_scores_gemma":[0.0009384013,0.00021844222,0.05873918,0.0017030316,0.000006439637,0.000028852719,0.0005830552,0.0006269956,2.22212e-7,0.0002081498,0.9368978,0.000049425274],"about_ca_topic_score_codex":0.00030430235,"about_ca_topic_score_gemma":0.00021444686,"teacher_disagreement_score":0.8838872,"about_ca_system_score_codex":0.00014052287,"about_ca_system_score_gemma":0.0025622402,"threshold_uncertainty_score":0.7116229},"labels":[],"label_agreement":null},{"id":"W4366602519","doi":"10.1007/s10916-023-01949-w","title":"Economic Efficiency of an Open-Source National Medical Lab Software in Canada","year":2023,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Interoperability; Government (linguistics); Health informatics; Business; Quality (philosophy); Health care; Open source; Competition (biology); Software; Computer science; World Wide Web; Economic growth; Economics","score_opus":0.05412475733261355,"score_gpt":0.4353136909407427,"score_spread":0.3811889336081291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366602519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98324615,0.0007068068,0.00035938414,0.006749212,0.007044102,0.00079897675,0.000032058517,0.0000293673,0.0010339555],"genre_scores_gemma":[0.99687713,0.00017681622,0.00002583871,0.0006390931,0.0016605519,0.000047846734,0.000010086962,0.00003636982,0.00052627403],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98922145,0.0022926086,0.003308081,0.00022945549,0.0041452623,0.00080315315],"domain_scores_gemma":[0.9936766,0.0030695035,0.0014750193,0.00022341315,0.00034635977,0.0012091078],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.023471277,0.00015486813,0.0009505953,0.00031998637,0.0001796278,0.000013111879,0.0017526998,0.00045634163,0.0010993462],"category_scores_gemma":[0.005996829,0.00012059962,0.00005406915,0.0004789137,0.000057237972,0.0001841259,0.00026504608,0.0018136927,0.00010047312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0004415317,0.00049895846,0.43926543,0.0073389392,0.00026842742,0.001574778,0.004653912,0.0051286207,0.000038397127,0.005044339,0.51387596,0.021870695],"study_design_scores_gemma":[0.021792443,0.0022308952,0.074677594,0.029710334,0.00003994728,0.001950569,0.027834889,0.21275254,0.000016098478,0.00055381836,0.62736166,0.0010792396],"about_ca_topic_score_codex":0.845875,"about_ca_topic_score_gemma":0.8604574,"teacher_disagreement_score":0.3645878,"about_ca_system_score_codex":0.0054848352,"about_ca_system_score_gemma":0.10271968,"threshold_uncertainty_score":0.9998138},"labels":[],"label_agreement":null},{"id":"W4385295619","doi":"10.1007/s10916-023-01972-x","title":"Survey on Path Planning for UAVs in Healthcare Missions","year":2023,"lang":"en","type":"review","venue":"Journal of Medical Systems","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Usability; Health care; Computer science; Motion planning; Health informatics; Field (mathematics); Domain (mathematical analysis); Systems engineering; Data science; Risk analysis (engineering); Human–computer interaction; Engineering; Robot; Business; Artificial intelligence","score_opus":0.16502477544697472,"score_gpt":0.4151352053952916,"score_spread":0.2501104299483169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385295619","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000036832353,0.9899507,0.008070512,0.000117299365,0.0012354008,0.00048539415,0.00008340245,0.000032401756,0.000021162312],"genre_scores_gemma":[0.00007187036,0.9990243,0.00007152058,0.000007672961,0.00055472547,0.000070176466,0.000096946205,0.000056490902,0.00004631193],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978296,0.00016125955,0.0011681234,0.00009868977,0.0005609341,0.00018137794],"domain_scores_gemma":[0.9983655,0.0008631354,0.0003240137,0.00012573978,0.00007503034,0.00024655825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019503523,0.00015826398,0.001029709,0.0002711184,0.000032316493,0.00002940233,0.00028562415,0.00043332257,0.000005348387],"category_scores_gemma":[0.0004900883,0.00011105914,0.00016533994,0.00036723324,0.00000715209,0.000023096885,0.00001275137,0.000627849,0.000011598931],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010911643,0.00008913798,0.00010218581,0.08414649,0.00029066252,0.00013160844,0.00013211076,0.032623302,4.2298186e-8,0.0005157457,0.1294538,0.752504],"study_design_scores_gemma":[0.00020438408,0.000056638317,0.000054993452,0.07178632,0.00004029438,0.00003815717,0.000018730305,0.019501012,8.167731e-9,0.0000067897067,0.90816796,0.00012472569],"about_ca_topic_score_codex":0.00008821128,"about_ca_topic_score_gemma":0.000013730782,"teacher_disagreement_score":0.7787142,"about_ca_system_score_codex":0.00019990705,"about_ca_system_score_gemma":0.00025233533,"threshold_uncertainty_score":0.45288602},"labels":[],"label_agreement":null},{"id":"W4387566407","doi":"10.1007/s10916-023-01999-0","title":"National Development and Implementation of a Democratized Disruptive Behavior Reporting System in Health Care","year":2023,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Workplace Violence and Bullying","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Workplace Health, Safety and Compensation Commission","funders":"","keywords":"Health informatics; Medicine; Health care; Fiscal year; Medical emergency; Patient safety; Information system; Healthcare system; Nursing; Medical education; Public health; Business; Engineering","score_opus":0.05003297846188777,"score_gpt":0.434888436176751,"score_spread":0.38485545771486324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387566407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977076,0.00057378213,0.00007512635,0.0008907586,0.0003976659,0.00023836238,0.0000015365197,0.000010282306,0.00010489183],"genre_scores_gemma":[0.9995695,0.00008432824,0.00012241729,0.000012059666,0.00017402282,0.000015762009,0.0000021064645,0.000003303995,0.00001652441],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9961308,0.0002641424,0.0015815926,0.00007532452,0.0017780164,0.00017012193],"domain_scores_gemma":[0.997609,0.0001494946,0.0018457817,0.00002335193,0.00022521145,0.00014714907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010131362,0.000048065256,0.00026744694,0.00017519588,0.00016336396,0.000027909211,0.00009956841,0.00006668022,0.000009981982],"category_scores_gemma":[0.00065348437,0.00003806739,0.00003182964,0.00034225945,0.000042259344,0.00009519365,0.000022672508,0.00012765656,0.0000011759939],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000322083,0.00005415274,0.7287017,0.0015019445,0.000058149155,0.0003672573,0.20502861,0.000050306542,0.00008612893,0.004629715,0.0010420359,0.0584478],"study_design_scores_gemma":[0.0008611298,0.00007038121,0.07418753,0.0040435465,0.000008740346,0.00006864692,0.91872925,0.0000995445,0.00004095226,0.000009512483,0.0018038169,0.00007695752],"about_ca_topic_score_codex":0.0016135051,"about_ca_topic_score_gemma":0.0009814692,"teacher_disagreement_score":0.71370065,"about_ca_system_score_codex":0.00042760524,"about_ca_system_score_gemma":0.0020658944,"threshold_uncertainty_score":0.36648083},"labels":[],"label_agreement":null},{"id":"W4388726601","doi":"10.1007/s10916-023-02011-5","title":"Screening for Psychological Distress in Healthcare Workers Using Machine Learning: A Proof of Concept","year":2023,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cégep Marie-Victorin; Université de Montréal; Institut universitaire en santé mentale de Montréal; Centre Hospitalier de l’Université de Montréal; Institut Universitaire en Santé Mentale de Québec","funders":"","keywords":"Anxiety; Depression (economics); Logistic regression; Health care; Medicine; Distress; Clinical psychology; Patient Health Questionnaire; Traumatic stress; Cohort; Psychology; Machine learning; Psychiatry; Computer science; Depressive symptoms","score_opus":0.21215178348077499,"score_gpt":0.5037888987776106,"score_spread":0.29163711529683556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388726601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96658003,0.005579686,0.016004413,0.007803281,0.0031423732,0.0007616905,0.00004231726,0.00002887967,0.000057353984],"genre_scores_gemma":[0.99904597,0.000033485932,0.00010297599,0.00015848155,0.0004405977,0.000016303276,0.000010972836,0.000016575663,0.00017464676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99699855,0.0005078303,0.0011026573,0.00018347288,0.0008142035,0.0003932836],"domain_scores_gemma":[0.99816287,0.00061537675,0.00065281003,0.00011541943,0.00007466366,0.00037883848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031273284,0.0001152474,0.000555045,0.00021107217,0.000060508282,0.000010162931,0.00028794692,0.00026399278,0.000082405226],"category_scores_gemma":[0.00046450863,0.0000848486,0.00014432885,0.00041736805,0.00009579011,0.000037567286,0.000040303075,0.00068297196,0.0000016641577],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036154413,0.0012602211,0.7899824,0.003385397,0.00026618518,0.0013954893,0.0067794095,0.0034644136,0.00014329619,0.0019258317,0.007975184,0.17980675],"study_design_scores_gemma":[0.08422726,0.02946353,0.34277004,0.046308883,0.00037250848,0.0069449954,0.08993397,0.25646076,0.0002579578,0.0010386365,0.13991736,0.002304117],"about_ca_topic_score_codex":0.0029949916,"about_ca_topic_score_gemma":0.00010040038,"teacher_disagreement_score":0.4472123,"about_ca_system_score_codex":0.00016295073,"about_ca_system_score_gemma":0.00016219738,"threshold_uncertainty_score":0.45275512},"labels":[],"label_agreement":null},{"id":"W4388733282","doi":"10.1007/s10916-023-02013-3","title":"Shaping Social Media: Is Twitter an Equitable tool for Professional Development?","year":2023,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Influencer marketing; Social media; Health care; Health equity; Health policy; Public relations; Internet privacy; Psychology; Computer science; Political science; World Wide Web; Business; Marketing","score_opus":0.3462507001733162,"score_gpt":0.49691240386475094,"score_spread":0.15066170369143472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388733282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88742393,0.00033208227,0.00039450903,0.04723411,0.063418776,0.0009601273,0.0000047500976,0.00006848718,0.00016321815],"genre_scores_gemma":[0.95551914,0.00013509857,0.0005432166,0.0011299124,0.041223012,0.0005951784,0.00001776236,0.00004180271,0.00079489243],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9947918,0.0004582508,0.0009033708,0.0001446874,0.0030843196,0.0006175671],"domain_scores_gemma":[0.99523276,0.0031579493,0.0005386488,0.000060827882,0.00049778033,0.0005120414],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.013258324,0.00009702035,0.00034420495,0.0001746777,0.000985204,0.00009260821,0.0005221596,0.0004007356,0.0003315447],"category_scores_gemma":[0.010795672,0.00008097164,0.00008860632,0.00048464703,0.0001385689,0.0003320729,0.00004742713,0.00037417567,0.00005543266],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007484979,0.00024215857,0.010704065,0.0005935761,0.00008902686,0.00002728947,0.51285464,0.0000015469686,0.00005493924,0.0051726797,0.40524337,0.064941846],"study_design_scores_gemma":[0.0012022465,0.00007855216,0.018101461,0.00091493427,0.00003036308,0.0000116285355,0.08481041,0.0002144182,0.00002322993,0.0011653067,0.89319825,0.00024916447],"about_ca_topic_score_codex":0.00018568838,"about_ca_topic_score_gemma":0.00009109814,"teacher_disagreement_score":0.4879549,"about_ca_system_score_codex":0.000413711,"about_ca_system_score_gemma":0.004238798,"threshold_uncertainty_score":0.99753684},"labels":[],"label_agreement":null},{"id":"W4390408033","doi":"10.1007/s10916-023-02028-w","title":"Development of an Automated and Scalable Virtual Assistant to Aid in PPE Adherence: A Study with Implications for Applications within Anesthesiology","year":2023,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Family and Patient Care in Intensive Care Units","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital; Toronto Western Hospital; University of Toronto","funders":"","keywords":"Headset; Anesthesiology; Coaching; Medicine; Computer science; Scalability; Multimedia; Medical physics; Operating system; Anesthesia; Psychology","score_opus":0.11236532597791468,"score_gpt":0.445845933939195,"score_spread":0.3334806079612803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390408033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954106,0.00004964929,0.0015718332,0.0005606108,0.00045445064,0.0018598873,0.00002160635,0.000043665073,0.000027661918],"genre_scores_gemma":[0.9975582,0.000006045557,0.0012343042,0.000235037,0.00008642172,0.0007923615,0.000016466945,0.00001392006,0.000057288067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974469,0.00040358963,0.0012737972,0.00016460233,0.0004698305,0.00024129689],"domain_scores_gemma":[0.9963251,0.0013233238,0.00055012753,0.00016024147,0.0013222464,0.00031899137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029274395,0.00010300983,0.00044159422,0.0002876861,0.00021727795,0.000007023323,0.00025236097,0.00017928341,0.000007896882],"category_scores_gemma":[0.0013932325,0.00006892208,0.000020366986,0.00059883937,0.000048379206,0.000055090197,0.000052015082,0.00033487746,0.000007454194],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021206744,0.0014732456,0.8705934,0.0016349722,0.00035292088,0.00009997399,0.08081195,0.0007141637,0.0019420831,0.006088932,0.022552473,0.011615182],"study_design_scores_gemma":[0.0063493038,0.010394589,0.6784627,0.006626608,0.00007779253,0.00012813686,0.27238348,0.0038146568,0.000039226863,0.000097994074,0.021279795,0.00034572638],"about_ca_topic_score_codex":0.00009953268,"about_ca_topic_score_gemma":0.0004408336,"teacher_disagreement_score":0.19213074,"about_ca_system_score_codex":0.000106059466,"about_ca_system_score_gemma":0.0010837486,"threshold_uncertainty_score":0.28105608},"labels":[],"label_agreement":null},{"id":"W4391480637","doi":"10.1007/s10916-024-02036-4","title":"ChatGPT for Parents of Children Seeking Emergency Care – so much Hope, so much Caution","year":2024,"lang":"en","type":"letter","venue":"Journal of Medical Systems","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Health informatics; Medicine; Psychology; Medical emergency; Nursing; Public health","score_opus":0.085742934238928,"score_gpt":0.4178775554801639,"score_spread":0.33213462124123594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391480637","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13359675,0.08000757,0.0034250086,0.7262244,0.053734537,0.0025743644,0.00020147269,0.00005878527,0.00017710091],"genre_scores_gemma":[0.88340646,0.005664791,0.00008194673,0.027500585,0.08112015,0.00010586669,0.0008217065,0.00015409842,0.0011444066],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99399453,0.0001901677,0.002507567,0.00031974478,0.0025159833,0.00047202618],"domain_scores_gemma":[0.9964077,0.00020776202,0.0013399257,0.00030345956,0.0013647425,0.0003764497],"candidate_categories":["research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0016786162,0.00030187526,0.0010909146,0.0004339843,0.00015602839,0.000058336045,0.0003901469,0.0014695531,0.00022668781],"category_scores_gemma":[0.0010465949,0.00022505145,0.0005268623,0.00028948238,0.00010999968,0.00008672201,0.000043951553,0.0023756572,0.000035563866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006463996,0.000081031365,0.005143837,0.009337484,0.00041401616,0.00016077668,0.0041379733,0.0000028464594,0.00003009635,0.00002101868,0.96278965,0.01781661],"study_design_scores_gemma":[0.00036171405,0.0014427697,0.00043860122,0.02256639,0.001241626,0.0017693352,0.0075143497,0.0009239496,0.0003553356,0.00028757993,0.96267015,0.00042821834],"about_ca_topic_score_codex":0.0023227565,"about_ca_topic_score_gemma":0.000047426183,"teacher_disagreement_score":0.7498097,"about_ca_system_score_codex":0.00043248822,"about_ca_system_score_gemma":0.0022387507,"threshold_uncertainty_score":0.9999259},"labels":[],"label_agreement":null},{"id":"W4393461209","doi":"10.1007/s10916-024-02054-2","title":"CT Perfusion Map Synthesis from CTP Dynamic Images Using a Learned LSTM Generative Adversarial Network for Acute Ischemic Stroke Assessment","year":2024,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Cerebral blood flow; Perfusion scanning; Cerebral blood volume; Artificial intelligence; Generative adversarial network; Artificial neural network; Perfusion; Pattern recognition (psychology); Deep learning; Medicine; Radiology; Cardiology","score_opus":0.012208771882559468,"score_gpt":0.3063398761446582,"score_spread":0.2941311042620987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393461209","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15314876,0.01220296,0.8261975,0.0006281264,0.007333083,0.00021102624,0.00008773397,0.000090369416,0.000100443474],"genre_scores_gemma":[0.97469187,0.00067295966,0.020306764,0.000024903218,0.0040899785,0.000018543065,0.0000113391925,0.00006458483,0.000119030155],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99793583,0.00009502089,0.00064517115,0.00017750962,0.00081648957,0.00032998584],"domain_scores_gemma":[0.99891895,0.0005322337,0.00014649329,0.00011460883,0.0000676961,0.00021999876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008890694,0.00020924328,0.000502094,0.00008849664,0.00010519992,0.00014364306,0.00025261808,0.000117287396,0.00009278655],"category_scores_gemma":[0.000102771315,0.0001640972,0.00022640007,0.00010339097,0.000037809677,0.00029305668,0.000043578955,0.0006490831,0.00000530523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024576447,0.000093496834,0.00023326039,0.001293736,0.0035191749,0.0020105492,0.0007351945,0.51554835,0.37166953,0.00020843252,0.026648724,0.077793784],"study_design_scores_gemma":[0.0005780792,0.00005096792,0.000020381463,0.0021707139,0.0004257069,0.0002640869,0.0004480628,0.9815695,0.001573557,0.00007933743,0.012621752,0.00019785263],"about_ca_topic_score_codex":0.000032327756,"about_ca_topic_score_gemma":0.0000027781691,"teacher_disagreement_score":0.82154316,"about_ca_system_score_codex":0.0003758148,"about_ca_system_score_gemma":0.00017606422,"threshold_uncertainty_score":0.66916895},"labels":[],"label_agreement":null},{"id":"W4394873376","doi":"10.1007/s10916-024-02060-4","title":"Comparing the Effectiveness of a Clinical Decision Support Tool in Reducing Pediatric Opioid Dose Calculation Errors: PediPain App vs. Traditional Calculators – A Simulation-Based Randomised Controlled Study","year":2024,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Pharmaceutical studies and practices","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Kingston Health Sciences Centre; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Health informatics; Medicine; Clinical decision support system; Opioid; Computer science; Decision support system; Medical physics; Data mining; Internal medicine; Nursing","score_opus":0.09695695738920107,"score_gpt":0.4399792088770014,"score_spread":0.34302225148780036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394873376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98643863,0.0024427744,0.0061596776,0.0005356055,0.0020671443,0.0022752704,0.0000031891348,0.000015339992,0.0000623622],"genre_scores_gemma":[0.9980698,0.00010266716,0.000036185018,0.00006120483,0.0016454504,0.00005784834,0.0000047573176,0.000017188971,0.0000048872107],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99104667,0.00300434,0.002938503,0.00025340557,0.0025248744,0.00023221326],"domain_scores_gemma":[0.94180954,0.056753673,0.00074627815,0.00015301933,0.00027006047,0.00026741478],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.038955223,0.00019538171,0.0016527419,0.00026967443,0.00009004784,0.00005937069,0.00020035125,0.00019831763,0.00010690692],"category_scores_gemma":[0.021546444,0.000105658924,0.0005550223,0.00052558543,0.00009338993,0.0001619239,0.000036235564,0.001064852,0.0000041682183],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.18598796,0.0042298147,0.6438228,0.0033558772,0.0017508938,0.0013419881,0.0011319863,0.15175748,0.000044855435,0.00015544001,0.0007174549,0.005703446],"study_design_scores_gemma":[0.11032136,0.001041812,0.20827295,0.0018268734,0.0010482805,0.00007360657,0.00030450948,0.6765521,0.0000031326692,0.000026485053,0.00042186238,0.0001069899],"about_ca_topic_score_codex":0.000106717176,"about_ca_topic_score_gemma":0.0000050613144,"teacher_disagreement_score":0.52479464,"about_ca_system_score_codex":0.00016044894,"about_ca_system_score_gemma":0.0008810167,"threshold_uncertainty_score":0.98959786},"labels":[],"label_agreement":null},{"id":"W4407624083","doi":"10.1007/s10916-025-02160-9","title":"Real-Time Cost Awareness in Surgical Disposables: A Multispecialty Pre-Post Trial","year":2025,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"","keywords":"Health informatics; Computer science; Medical emergency; Medicine; Nursing; Public health","score_opus":0.35809112818074557,"score_gpt":0.5668341137562094,"score_spread":0.20874298557546384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407624083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9514566,0.0009158926,0.00026829581,0.02535571,0.01406,0.0029147374,0.00004339154,0.000057883448,0.0049274582],"genre_scores_gemma":[0.9829993,0.0025045061,0.00008881264,0.0012881883,0.009047534,0.00028319863,0.000022258711,0.000055228054,0.0037109414],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.97957873,0.012051136,0.0043828264,0.0003530748,0.0027643328,0.000869874],"domain_scores_gemma":[0.98415166,0.011576004,0.001948664,0.0004351685,0.00088056305,0.0010079605],"candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.030011749,0.00026662447,0.0015120404,0.00044441156,0.00042095178,0.000053849973,0.0009233111,0.0011325238,0.0011212026],"category_scores_gemma":[0.018256506,0.00019417494,0.00021770343,0.00071271334,0.00020584317,0.00039425533,0.00023605044,0.0032767728,0.00017536861],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.16272399,0.007148964,0.5594692,0.01945576,0.0009630918,0.009994205,0.016319003,0.000089814996,0.0003176603,0.024192,0.13607845,0.06324781],"study_design_scores_gemma":[0.16314901,0.0015491478,0.101302885,0.0356351,0.00018852082,0.00035377822,0.0133335395,0.0034237758,0.00000601563,0.00021402435,0.6801033,0.00074086885],"about_ca_topic_score_codex":0.013842329,"about_ca_topic_score_gemma":0.0020673124,"teacher_disagreement_score":0.5440249,"about_ca_system_score_codex":0.001144628,"about_ca_system_score_gemma":0.008646804,"threshold_uncertainty_score":0.9997919},"labels":[],"label_agreement":null},{"id":"W4408405940","doi":"10.1007/s10916-025-02167-2","title":"Using Generative AI to Extract Structured Information from Free Text Pathology Reports","year":2025,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Taipei Medical University","keywords":"Computer science; Generalizability theory; Health informatics; Unstructured data; Artificial intelligence; Data science; Pathology; Medicine; Data mining; Big data; Public health; Psychology","score_opus":0.1086383209129768,"score_gpt":0.45310753496276535,"score_spread":0.34446921404978853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408405940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8624753,0.0009228163,0.10888231,0.019270424,0.00791134,0.00030390456,0.00000445688,0.000010367388,0.0002191359],"genre_scores_gemma":[0.99309343,0.000040215913,0.0017307975,0.0034777464,0.0016001369,0.000004165964,0.000008476844,0.0000045967818,0.000040461335],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99749345,0.00012667432,0.0013518678,0.00009146144,0.00078349916,0.00015303023],"domain_scores_gemma":[0.99820256,0.0001627989,0.0004936971,0.00021599286,0.0006032005,0.00032175766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012603386,0.000086451255,0.00035840686,0.00023506705,0.0000701609,0.000043266176,0.00012406884,0.0002624424,0.00015891096],"category_scores_gemma":[0.0036869063,0.0000623563,0.000070545,0.00021811396,0.000033985467,0.00021191579,0.00002968069,0.00045016498,0.000008741131],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010320129,0.00040560067,0.14627624,0.0009395735,0.00058226165,0.0031905787,0.01996803,0.0019413446,0.01409778,0.0017361945,0.23784156,0.5719888],"study_design_scores_gemma":[0.002879021,0.004384634,0.11473381,0.026444871,0.0016292561,0.03982971,0.069484405,0.07554522,0.07120753,0.04279837,0.54957557,0.0014876253],"about_ca_topic_score_codex":0.0013775481,"about_ca_topic_score_gemma":0.000049227117,"teacher_disagreement_score":0.5705012,"about_ca_system_score_codex":0.00023397009,"about_ca_system_score_gemma":0.001169733,"threshold_uncertainty_score":0.44138375},"labels":[],"label_agreement":null},{"id":"W4410132328","doi":"10.1007/s10916-025-02189-w","title":"Designing a Real-Time Medication Intake and Adherence Dashboard: Features, Functionality, and Data Display to Meet the Needs of Patients, Care Partners and Healthcare Providers","year":2025,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Institute for Aging; Canadian Pharmacists Association; University of Waterloo","funders":"","keywords":"Dashboard; Health informatics; Health care; Medicine; Nursing; Medical emergency; Computer science; Data science; Public health","score_opus":0.049417557465090474,"score_gpt":0.3687523581061064,"score_spread":0.31933480064101594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410132328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8344712,0.030781396,0.0046935277,0.12458657,0.0014249203,0.0025346996,0.000087888235,0.00003667281,0.0013830805],"genre_scores_gemma":[0.9973518,0.0010149163,0.00023485236,0.00095462665,0.00015467146,0.00001989798,0.000031326137,0.0000063787243,0.00023153072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99770385,0.00021909396,0.0006475129,0.00017958277,0.0011102398,0.00013969991],"domain_scores_gemma":[0.99814165,0.00035599986,0.00040207582,0.0003209059,0.00034184032,0.00043754434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016647408,0.00011291031,0.00039318684,0.0001236871,0.00009220587,0.00003405661,0.0002891029,0.00013049805,0.000022906343],"category_scores_gemma":[0.0013483001,0.000067771674,0.000022239381,0.0002488389,0.00022526113,0.00010997474,0.00015329526,0.00026222316,0.0000012211068],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013228444,0.00026902385,0.4536396,0.00828248,0.00064641424,0.000033898814,0.010741369,0.00000506276,0.0008726419,0.009221595,0.4223942,0.09257087],"study_design_scores_gemma":[0.013407029,0.004191941,0.7489083,0.03608141,0.0013041759,0.0009860392,0.093138844,0.0028976991,0.0001646836,0.0006364291,0.09765863,0.00062481465],"about_ca_topic_score_codex":0.00038172616,"about_ca_topic_score_gemma":0.000032078606,"teacher_disagreement_score":0.32473555,"about_ca_system_score_codex":0.00004801373,"about_ca_system_score_gemma":0.0006108339,"threshold_uncertainty_score":0.27636486},"labels":[],"label_agreement":null},{"id":"W4410265564","doi":"10.1007/s10916-025-02194-z","title":"Should Patients Be Able To Delete their Electronic Health Records??","year":2025,"lang":"en","type":"letter","venue":"Journal of Medical Systems","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Health informatics; Health records; Computer science; Electronic health record; Medical record; Medical emergency; Information retrieval; Data science; Data mining; Medicine; Health care; Nursing; Public health; Internal medicine; Political science","score_opus":0.07838202294737343,"score_gpt":0.30868761315661775,"score_spread":0.23030559020924432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410265564","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00024987632,0.0062897336,0.0036206446,0.9793536,0.00636378,0.0006087199,0.00021581815,0.000016527249,0.0032813177],"genre_scores_gemma":[0.008525562,0.0047250306,0.0000418226,0.9728784,0.0069525437,0.00004262264,0.00005321356,0.000051100767,0.0067296843],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99520934,0.0002014093,0.002699968,0.00037725933,0.00052919565,0.0009828416],"domain_scores_gemma":[0.9968218,0.00020824988,0.0019207865,0.0004042582,0.00013433163,0.000510575],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0050718696,0.00030085794,0.0015482594,0.00077117514,0.000107885695,0.00010686091,0.0010350659,0.00084351917,0.00022665829],"category_scores_gemma":[0.0006968379,0.000263509,0.0003208412,0.00034853918,0.000023404644,0.00009283404,0.00014137277,0.002937004,0.00012051488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000103766715,0.000047954818,0.00024545053,0.001076744,0.00019403054,0.000034094264,0.00012602036,0.000008485785,4.8223274e-9,0.007198956,0.9868933,0.004164576],"study_design_scores_gemma":[0.0005083098,0.00054437586,0.00008152503,0.0010649187,0.0000080885475,0.000016088521,0.000029111443,0.00011303304,1.269851e-7,0.0010418268,0.99638665,0.00020596548],"about_ca_topic_score_codex":0.008227464,"about_ca_topic_score_gemma":0.00017822461,"teacher_disagreement_score":0.009493323,"about_ca_system_score_codex":0.0013966307,"about_ca_system_score_gemma":0.00093330996,"threshold_uncertainty_score":0.9999817},"labels":[],"label_agreement":null},{"id":"W4411325510","doi":"10.1007/s10916-025-02218-8","title":"Artificial Intelligence for Chronic Disease Screening in Latin America and the Caribbean: The Diagnostic Potential of Digital Health","year":2025,"lang":"en","type":"letter","venue":"Journal of Medical Systems","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Latin Americans; Health informatics; Digital health; Disease; Caribbean region; Medicine; Artificial intelligence; Computer science; Public health; Pathology; Political science; Health care","score_opus":0.09531778436371575,"score_gpt":0.3998380710048681,"score_spread":0.3045202866411524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411325510","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019221813,0.013642522,0.042196225,0.9386715,0.0021869987,0.0013256931,0.000039879797,0.0000047159524,0.000010251431],"genre_scores_gemma":[0.9208421,0.0031324595,0.000051454303,0.06067026,0.014997979,0.00009300958,0.00006793636,0.000027625445,0.00011714751],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958064,0.0003661777,0.0020362276,0.00018755502,0.0012656709,0.00033797248],"domain_scores_gemma":[0.9919115,0.006151901,0.0011400775,0.00024210731,0.00030909028,0.00024538045],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0022145554,0.000178355,0.0008452308,0.00019063687,0.00012498311,0.00007838666,0.00034999516,0.0002995412,0.000018626291],"category_scores_gemma":[0.008954476,0.00009316495,0.00024737764,0.00026087332,0.000518028,0.000059504284,0.00005432677,0.001796531,0.0000012818897],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013771844,0.0001970029,0.0020905782,0.0077995723,0.00032401655,0.00038662608,0.0026045635,0.0006774454,9.090185e-7,0.00082234567,0.40247914,0.5812406],"study_design_scores_gemma":[0.0017935734,0.0056779985,0.0037759244,0.0883744,0.0023781492,0.0014486786,0.03227413,0.19605497,0.000049495302,0.020359263,0.6466864,0.001127032],"about_ca_topic_score_codex":0.0014965753,"about_ca_topic_score_gemma":0.000039209463,"teacher_disagreement_score":0.9189199,"about_ca_system_score_codex":0.00017109125,"about_ca_system_score_gemma":0.0028679944,"threshold_uncertainty_score":0.9993935},"labels":[],"label_agreement":null},{"id":"W4411387445","doi":"10.1007/s10916-025-02220-0","title":"From Conflict to Care - Telemedicine Utilization During Wartime: A Retrospective Cohort Study","year":2025,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ben-Gurion University of the Negev","keywords":"Telemedicine; Medicine; Health care; Mental health; Health informatics; Patient satisfaction; Psychological resilience; Retrospective cohort study; Population; Family medicine; Nursing; Public health; Environmental health; Psychology; Psychiatry; Political science; Internal medicine","score_opus":0.031775508803716414,"score_gpt":0.3947909827778234,"score_spread":0.36301547397410694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411387445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98515826,0.0016704714,0.002343346,0.006159924,0.002199164,0.0019728688,0.000010195958,0.00003757044,0.0004482099],"genre_scores_gemma":[0.99657893,0.00012130771,0.00006405694,0.0007863979,0.0021231691,0.000043565873,0.000026145548,0.000017250002,0.0002391816],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952004,0.00018869455,0.0015144293,0.00026108618,0.0025464685,0.00028891923],"domain_scores_gemma":[0.9976843,0.00014092428,0.0004560721,0.00026447646,0.00081899576,0.00063521473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016829419,0.00017776615,0.0009256836,0.00044616038,0.00011245957,0.000024575435,0.00019991989,0.00014343421,0.0004184447],"category_scores_gemma":[0.0016336965,0.00012802039,0.000086783584,0.00062829553,0.00003985045,0.00008091704,0.00005657533,0.0005190973,0.000011983349],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040291325,0.00025618327,0.97228044,0.00032838236,0.00042806653,0.00042382875,0.005072916,0.000003708419,0.00028040347,0.000033396336,0.01672997,0.0037597718],"study_design_scores_gemma":[0.008210123,0.0019502987,0.94410074,0.0017808444,0.0004748343,0.0001552539,0.026985887,0.00010622728,0.00023069297,0.000006916173,0.015907334,0.000090836125],"about_ca_topic_score_codex":0.0018144185,"about_ca_topic_score_gemma":0.00007575377,"teacher_disagreement_score":0.028179709,"about_ca_system_score_codex":0.0005833617,"about_ca_system_score_gemma":0.00055073935,"threshold_uncertainty_score":0.522052},"labels":[],"label_agreement":null},{"id":"W4413471833","doi":"10.1007/s10916-025-02235-7","title":"Applying the Model for Assessing the Value of AI (MAS-AI) Framework To Organizational AI: A Case Study of Surgical Scheduling Assessment in Italy","year":2025,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network","funders":"Università degli Studi di Parma","keywords":"Computer science; Artificial intelligence; Context (archaeology); Scope (computer science); Schedule; Knowledge management; Process management; Operations research; Engineering","score_opus":0.12421892860478964,"score_gpt":0.5177468393648406,"score_spread":0.3935279107600509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413471833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7318497,0.00030177386,0.23661819,0.029272506,0.0007497245,0.0011895992,9.2337865e-7,0.000003027372,0.0000146011735],"genre_scores_gemma":[0.9975786,0.000019416468,0.0008544681,0.00086922914,0.00054339087,0.00010703248,8.882768e-7,0.000010196767,0.000016748814],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967369,0.0002804175,0.0015079381,0.00012413629,0.0011780062,0.00017260757],"domain_scores_gemma":[0.9961951,0.0019920687,0.00039945112,0.00017912625,0.0010793059,0.00015495744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051371176,0.00009551878,0.00045941808,0.00017863876,0.00014499524,0.00004538241,0.00022892149,0.00016984918,0.000012569488],"category_scores_gemma":[0.0025741395,0.000052283613,0.000079432575,0.0007183152,0.000056239136,0.000081713835,0.000047469137,0.00092679675,3.2338366e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005676777,0.0053661433,0.5501551,0.0030905183,0.00076905417,0.0010166934,0.040263377,0.3012195,0.00035296785,0.06870899,0.0021752494,0.02631475],"study_design_scores_gemma":[0.0005113079,0.0004873827,0.0009975627,0.004823976,0.00019829818,0.0012399029,0.111273035,0.87760013,0.0001272388,0.0023494444,0.0003074793,0.000084264306],"about_ca_topic_score_codex":0.0008758628,"about_ca_topic_score_gemma":0.000056125413,"teacher_disagreement_score":0.5763806,"about_ca_system_score_codex":0.00017849295,"about_ca_system_score_gemma":0.0025725707,"threshold_uncertainty_score":0.456363},"labels":[],"label_agreement":null},{"id":"W4414401679","doi":"10.1007/s10916-025-02259-z","title":"Integrating Pediatric Anesthesia Sustainability Metrics into Native Electronic Health Records: A Clinical Informatics Approach","year":2025,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Health informatics; Sustainability; Electronic health record; Informatics; Electronic medical record; Medical record; Perioperative; Health care; Health information technology","score_opus":0.0724349604272115,"score_gpt":0.5022493217986885,"score_spread":0.42981436137147705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414401679","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25856113,0.015730754,0.5779076,0.12545747,0.0031428167,0.0043280167,0.000001964898,0.00028327116,0.014586972],"genre_scores_gemma":[0.9913911,0.0034444795,0.0032297869,0.00040079423,0.0011677152,0.000032150274,0.0000010088303,0.00001198585,0.00032093565],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.98846775,0.0038417063,0.00281992,0.00016642266,0.0039744433,0.0007297733],"domain_scores_gemma":[0.99224263,0.0035793197,0.0014450242,0.00023606121,0.0018522113,0.0006447616],"candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.08052587,0.00014486394,0.00075707014,0.0007995011,0.0004000438,0.0001953324,0.0014591956,0.00048246872,0.00001628403],"category_scores_gemma":[0.05347262,0.00010788808,0.00024193915,0.0030145505,0.00040756317,0.00031249443,0.00012758824,0.0024747115,0.0000023233615],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024082555,0.001829456,0.22371908,0.0049877437,0.00035744248,0.00017154143,0.041159716,0.00005437942,1.4758712e-7,0.29440987,0.15820524,0.27486455],"study_design_scores_gemma":[0.002743915,0.0030810249,0.0039945417,0.0013183063,0.0001451532,0.00028399096,0.48248342,0.024522644,0.0000017805163,0.036826503,0.44392315,0.00067558384],"about_ca_topic_score_codex":0.0029147347,"about_ca_topic_score_gemma":0.00019402546,"teacher_disagreement_score":0.73283005,"about_ca_system_score_codex":0.0029934181,"about_ca_system_score_gemma":0.018296806,"threshold_uncertainty_score":0.9998266},"labels":[],"label_agreement":null},{"id":"W4414882684","doi":"10.1007/s10916-025-02270-4","title":"Development of Normative Ranges for Vital Signs and Differentiation by American Society of Anesthesiologists Physical Status Category: A Retrospective Observational Study","year":2025,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Waterloo; University of Toronto","funders":"","keywords":"Normative; Vital signs; Observational study; Retrospective cohort study; American society of anesthesiologists; Anesthetic; MEDLINE","score_opus":0.04441731568322812,"score_gpt":0.3440634552112536,"score_spread":0.2996461395280255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414882684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99382025,0.0003371336,0.00424917,0.0009964278,0.00008812691,0.00046264895,0.00001014822,0.0000045869915,0.00003149749],"genre_scores_gemma":[0.99931747,0.000059073518,0.00038266619,0.000057684952,0.0000835137,0.000019067384,0.000010788064,0.0000055464598,0.00006421433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99790424,0.00015200612,0.00071487273,0.00011306284,0.0009773809,0.0001384087],"domain_scores_gemma":[0.9979132,0.00090313953,0.0005975319,0.00006700798,0.0003741339,0.00014498041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010823574,0.00011592425,0.0011474051,0.000062513085,0.000041577943,0.000008548894,0.000075878444,0.000074707554,0.0000032368603],"category_scores_gemma":[0.00045641308,0.00007354283,0.00026246283,0.00016926108,0.00018164517,0.000047674992,0.000021770391,0.0001700142,1.0299889e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010892078,0.0017316897,0.9659029,0.0008671227,0.0017397905,0.000014911759,0.009667799,0.0000045707848,0.010956321,0.0009556631,0.0020071298,0.005062855],"study_design_scores_gemma":[0.0046695834,0.0019318344,0.9735045,0.000400934,0.00031445015,0.00003320414,0.01405841,0.00045439825,0.0012989531,0.000029482097,0.0031967314,0.00010752136],"about_ca_topic_score_codex":0.000057557536,"about_ca_topic_score_gemma":0.000002803489,"teacher_disagreement_score":0.009657368,"about_ca_system_score_codex":0.00012788734,"about_ca_system_score_gemma":0.00035678386,"threshold_uncertainty_score":0.29989895},"labels":[],"label_agreement":null},{"id":"W4415169415","doi":"10.1007/s10916-025-02278-w","title":"Predicting All-Cause Mortality in Diabetic Patients 2 Years in Advance Using Aggregated EHR Data and Machine Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Ontario; University of Toronto; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Health informatics; Disease; Resource allocation; Predictive modelling; Health care; Emergency department; Informatics; MEDLINE","score_opus":0.0566886838156516,"score_gpt":0.3649545467764447,"score_spread":0.30826586296079306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415169415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872364,0.0032199468,0.007721268,0.00065999775,0.0009581869,0.00015881394,0.0000027503677,0.000019875222,0.000022778104],"genre_scores_gemma":[0.99884,0.00022601277,0.0007617862,0.00007912478,0.00007212574,0.0000013635557,0.000003954485,0.000006603608,0.000009058506],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99644893,0.000866692,0.0010187963,0.00029557204,0.0010782711,0.00029173715],"domain_scores_gemma":[0.99835587,0.00043071143,0.0005493086,0.00037470524,0.00008491417,0.00020450621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004455804,0.0001159797,0.00039653847,0.00030075316,0.00004543954,0.00009072899,0.0011975511,0.00013642726,0.0000032747323],"category_scores_gemma":[0.0040010316,0.00010198235,0.000021868786,0.00055727764,0.00004055244,0.00043032994,0.000684401,0.0012963094,5.368593e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006522173,0.000051803312,0.9858232,0.00022832016,0.00003463681,0.00020528045,0.00030651386,0.0035188785,0.0000045261036,0.0000938788,0.000012543558,0.00971388],"study_design_scores_gemma":[0.00084298727,0.00005116046,0.2982652,0.0022967581,0.000011195169,0.00003680753,0.00004935083,0.69786185,7.055711e-7,0.00003034819,0.00048992824,0.00006373492],"about_ca_topic_score_codex":0.0020276052,"about_ca_topic_score_gemma":0.0002626862,"teacher_disagreement_score":0.694343,"about_ca_system_score_codex":0.00015907855,"about_ca_system_score_gemma":0.00023960882,"threshold_uncertainty_score":0.56318915},"labels":[],"label_agreement":null}]}