{"meta":{"query_hash":"b3d9880e2675","filters":{"venue":"JMIR Cardio"},"cohort_total":270,"direct_labels_cover":1,"predictions_cover":270,"exported":270,"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/b3d9880e2675","api":"https://metacan.xera.ac/api/v1/cohort?venue=JMIR+Cardio"},"results":[{"id":"W2610325178","doi":"10.2196/cardio.6057","title":"Bioimpedance-Based Heart Failure Deterioration Prediction Using a Prototype Fluid Accumulation Vest-Mobile Phone Dyad: An Observational Study","year":2017,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Decompensation; Heart failure; Acute decompensated heart failure; VEST; Medicine; Cardiology; Internal medicine; Dyad; Observational study; Computer science; Acoustics","score_opus":0.25247774188613026,"score_gpt":0.42887003572728166,"score_spread":0.1763922938411514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610325178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996865,0.000020189933,0.00009391067,0.0000048531497,0.0000019851218,0.000031929045,0.0000862869,0.0000015040322,0.00007285229],"genre_scores_gemma":[0.9992211,0.000030910465,0.0002624647,0.00002346752,0.000009024277,0.00006646123,0.00028949612,0.0000018038126,0.000095120085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906427,0.0003716415,0.00009097137,0.00021104891,0.0001644491,0.00009763164],"domain_scores_gemma":[0.99750227,0.0006175421,0.00073399517,0.00027112072,0.00034461607,0.00053043937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016648434,0.0004839789,0.00054148876,0.00049582653,0.00061613624,0.00067369465,0.00047972574,0.0006340596,0.000778066],"category_scores_gemma":[0.0036325678,0.00038300798,0.00066030177,0.00038499793,0.00045578406,0.0006109646,0.00061200926,0.0008735367,0.00034486913],"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":[0.0007929854,0.001449369,0.9949905,0.000018300052,0.00010117633,0.0000942818,0.0003827444,0.00006259994,0.0003464034,0.000009300853,0.00009548246,0.0016568518],"study_design_scores_gemma":[0.0001401848,0.0066509396,0.9907657,0.000011754781,0.00008961309,0.00030055625,0.000590168,0.0010391043,0.00018392463,0.000016797447,0.00019402464,0.000017181821],"about_ca_topic_score_codex":0.00431569,"about_ca_topic_score_gemma":0.0041715833,"teacher_disagreement_score":0.00431569,"about_ca_system_score_codex":0.0004242696,"about_ca_system_score_gemma":0.00043456277,"threshold_uncertainty_score":0.008804679},"labels":[],"label_agreement":null},{"id":"W2742436849","doi":"10.2196/cardio.7915","title":"Assessing the Utility of a Novel SMS- and Phone-Based System for Blood Pressure Control in Hypertensive Patients: Feasibility Study","year":2017,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Blood pressure; Bluetooth; Intensive care medicine; Intervention (counseling); Telemedicine; Population; Phone; Risk factor; Medical emergency; Cardiology; Internal medicine; Computer science; Health care; Environmental health; Nursing; Wireless; Telecommunications","score_opus":0.1000228213420749,"score_gpt":0.4524855530157659,"score_spread":0.35246273167369097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742436849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99863607,0.000036032994,0.00033164505,0.000066399894,0.000008422989,0.0005759292,0.0000617936,0.000012336287,0.00027125032],"genre_scores_gemma":[0.9967528,0.000063483196,0.0020908378,0.00010908938,0.000035438774,0.0007105334,0.00009313244,0.0000029981545,0.00014179335],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99427384,0.004171924,0.0003585451,0.00027611732,0.0006133337,0.00030621287],"domain_scores_gemma":[0.9903544,0.0055288463,0.001435509,0.00052437553,0.0009302634,0.0012265259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007524239,0.0005296047,0.00052454835,0.0005820334,0.0004767099,0.0005953767,0.00048779853,0.00079914334,0.0018379592],"category_scores_gemma":[0.013815763,0.00035906886,0.0008384654,0.00035109618,0.00059719675,0.00080967724,0.000613702,0.00074380706,0.00028370507],"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":[0.096001044,0.11880224,0.654776,0.0008085306,0.00094273384,0.00042008868,0.0024122687,0.0013514191,0.007875514,0.00019173633,0.00069401215,0.11572443],"study_design_scores_gemma":[0.014919609,0.52174896,0.4551142,0.000054268818,0.00048962916,0.00020320214,0.0006316425,0.0046197,0.001529412,0.00005834901,0.0005775479,0.00005349619],"about_ca_topic_score_codex":0.0025975036,"about_ca_topic_score_gemma":0.0024111175,"teacher_disagreement_score":0.007524239,"about_ca_system_score_codex":0.0007555204,"about_ca_system_score_gemma":0.0015444747,"threshold_uncertainty_score":0.03979242},"labels":[],"label_agreement":null},{"id":"W2745032379","doi":"10.2196/cardio.7848","title":"A Mobile Health Intervention to Improve Self-Care in Patients With Heart Failure: Pilot Randomized Control Trial","year":2017,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Randomized controlled trial; Medicine; Intervention (counseling); Mobile phone; Quality of life (healthcare); mHealth; Heart failure; Physical therapy; Health care; Self-management; Disease management; Phone; Gerontology; Disease; Psychological intervention; Nursing; Internal medicine","score_opus":0.007326885274240353,"score_gpt":0.28723629372774584,"score_spread":0.2799094084535055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2745032379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9420712,0.0032754582,0.00095492596,0.0014483596,0.0013961965,0.046683002,0.0014205163,0.00020700287,0.002543337],"genre_scores_gemma":[0.8932583,0.0022367623,0.0053484715,0.00170681,0.0011068406,0.092780754,0.0008507672,0.00001853252,0.0026928964],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99880457,0.0005509245,0.0001282566,0.0002184481,0.00009925989,0.00019854505],"domain_scores_gemma":[0.99832064,0.0005978412,0.00035593938,0.000110325724,0.00016278206,0.00045241657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002255716,0.0017217573,0.0029605085,0.00076296146,0.0009809391,0.0011535045,0.0010535452,0.0026937285,0.010816759],"category_scores_gemma":[0.004080852,0.000773616,0.0024635238,0.0005018698,0.0012206422,0.0012784804,0.0010260708,0.002467869,0.00089789915],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9237393,0.048321832,0.001383006,0.0021302353,0.0015870137,0.00009470384,0.00016007609,0.00019170718,0.0008846816,0.00014465311,0.001157757,0.020204937],"study_design_scores_gemma":[0.93515223,0.061703473,0.0019886843,0.000091378024,0.0004278405,0.000013682196,0.000034919594,0.00016772967,0.00008070052,0.000056182078,0.00027653656,0.0000066858534],"about_ca_topic_score_codex":0.0018577176,"about_ca_topic_score_gemma":0.002783424,"teacher_disagreement_score":0.010816759,"about_ca_system_score_codex":0.00080908876,"about_ca_system_score_gemma":0.0017532127,"threshold_uncertainty_score":0.036185622},"labels":[],"label_agreement":null},{"id":"W2753314289","doi":"10.2196/cardio.7342","title":"A Web-Based Tailored Intervention to Support Illness Management in Patients With an Acute Coronary Syndrome: Pilot Study","year":2017,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal; Université Laval; Montreal Heart Institute","funders":"","keywords":"Acute coronary syndrome; Medicine; Rehabilitation; Psychological intervention; Intervention (counseling); Physical therapy; Intensive care medicine; Acute care; Medical emergency; Nursing; Internal medicine; Myocardial infarction; Health care","score_opus":0.023260708096891857,"score_gpt":0.34836100408223014,"score_spread":0.3251002959853383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753314289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995732,0.000036542304,0.00017176651,0.00007124703,0.000021244274,0.0035119625,0.00009016335,0.000014483273,0.00035046853],"genre_scores_gemma":[0.98337954,0.0002665587,0.0040866,0.00037960027,0.00009737392,0.010810491,0.00029735413,0.00000795833,0.00067437335],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99872893,0.0006782914,0.00010396234,0.00012474386,0.00011294652,0.00025111678],"domain_scores_gemma":[0.9972933,0.001155919,0.00023566664,0.000221371,0.00026493327,0.0008288447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026136567,0.00086013484,0.00086692016,0.0006358769,0.00080119935,0.0006055153,0.000675016,0.0010718242,0.0037868242],"category_scores_gemma":[0.004544602,0.00038839734,0.0010281359,0.00042247106,0.00061326346,0.0007863337,0.0008189513,0.0012692116,0.0004508256],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.044278905,0.7879673,0.02488393,0.0011688767,0.00043684646,0.0005236798,0.0037817303,0.0009396165,0.0052605616,0.00011865213,0.0011813727,0.12945849],"study_design_scores_gemma":[0.083038084,0.7983062,0.11139952,0.00010698522,0.00031930627,0.0001440539,0.0018072414,0.001862697,0.0013413964,0.00010730709,0.0015121459,0.000054938246],"about_ca_topic_score_codex":0.0027328948,"about_ca_topic_score_gemma":0.0042525167,"teacher_disagreement_score":0.0037868242,"about_ca_system_score_codex":0.0006828194,"about_ca_system_score_gemma":0.002155053,"threshold_uncertainty_score":0.013822556},"labels":[],"label_agreement":null},{"id":"W2757972654","doi":"10.2196/cardio.8025","title":"My Hypertension Education and Reaching Target (MyHEART): Development and Dissemination of a Patient-Centered Website for Young Adults with Hypertension","year":2017,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Center for Research Resources; National Heart, Lung, and Blood Institute","keywords":"Medicine; Medical education","score_opus":0.017653360414877854,"score_gpt":0.2658885817061615,"score_spread":0.24823522129128361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757972654","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74015504,0.0031375284,0.057450652,0.033891197,0.0017382598,0.033471838,0.01143434,0.015548885,0.10317216],"genre_scores_gemma":[0.58203983,0.004180314,0.34741694,0.00897697,0.0009053164,0.023542278,0.0076241717,0.00083186146,0.024482304],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968342,0.0019868254,0.0002929559,0.00015493222,0.0004750276,0.00025617608],"domain_scores_gemma":[0.9874866,0.0058478517,0.0008491385,0.0006540096,0.0011964773,0.0039659026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009493229,0.00031323067,0.0003473253,0.0010935778,0.00094988523,0.0016395007,0.00094189285,0.00087803823,0.01189446],"category_scores_gemma":[0.01759575,0.00026358716,0.0008394375,0.00063668436,0.00040770718,0.002566719,0.004010861,0.0014483719,0.0026707887],"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":[0.00048112223,0.0037217485,0.03798452,0.0028842653,0.00011230236,0.0008771373,0.015114567,0.00043639558,0.0034571004,0.0014177827,0.1594527,0.77406037],"study_design_scores_gemma":[0.0028752442,0.010521044,0.22231635,0.0057921503,0.0006350204,0.002579542,0.0243475,0.007288736,0.0059266076,0.0052992282,0.7119795,0.00043910445],"about_ca_topic_score_codex":0.001553758,"about_ca_topic_score_gemma":0.0043698424,"teacher_disagreement_score":0.01189446,"about_ca_system_score_codex":0.0006186288,"about_ca_system_score_gemma":0.004558318,"threshold_uncertainty_score":0.05020559},"labels":[],"label_agreement":null},{"id":"W2760227528","doi":"10.2196/cardio.8152","title":"Patients With Implantable Cardioverter Defibrillators on Social Media Report More Shock Anxiety Than Clinic Patients: Results From an Online Survey","year":2017,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"East Carolina University","keywords":"Anxiety; Implantable cardioverter-defibrillator; Coping (psychology); Medicine; Shock (circulatory); Social support; Defibrillation; Medical emergency; Clinical psychology; Intensive care medicine; Psychology; Internal medicine; Psychiatry; Psychotherapist","score_opus":0.13790644360500504,"score_gpt":0.4075548100418499,"score_spread":0.26964836643684487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760227528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990151,0.000054517215,0.000040517425,0.00006070147,0.000004292141,0.000021303751,0.00025213097,0.0000028582742,0.00054869713],"genre_scores_gemma":[0.99935716,0.00008341464,0.000060758633,0.00006444222,0.00001209189,0.000026900687,0.00022283074,0.0000015030207,0.00017095359],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994702,0.00018840774,0.00008359601,0.000059234826,0.00011520582,0.000083324594],"domain_scores_gemma":[0.99692374,0.00090277207,0.0014250607,0.000098611185,0.00024259355,0.0004072643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059989054,0.0001908805,0.00021486908,0.0010466998,0.00033291706,0.0007411901,0.00021950273,0.00038547776,0.0031115648],"category_scores_gemma":[0.003819275,0.00014942577,0.00031469797,0.0008354122,0.00021690651,0.000582453,0.0007225244,0.000424212,0.00040340883],"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":[0.00007480702,0.00020038325,0.9945799,0.000029488116,0.00003168873,0.000051398132,0.0007958269,0.000009926707,0.00021618113,0.0000061623514,0.00017865868,0.0038255854],"study_design_scores_gemma":[0.000008690669,0.0001297797,0.99775535,0.000008770131,0.00001519315,0.00014361605,0.00168467,0.000053528922,0.000047655718,0.0000070210717,0.00014216626,0.0000036879237],"about_ca_topic_score_codex":0.0014180669,"about_ca_topic_score_gemma":0.0023891758,"teacher_disagreement_score":0.0031115648,"about_ca_system_score_codex":0.00016230266,"about_ca_system_score_gemma":0.00013976662,"threshold_uncertainty_score":0.010409236},"labels":[],"label_agreement":null},{"id":"W2773581467","doi":"10.2196/cardio.8543","title":"The Atrial Fibrillation Health Literacy Information Technology System: Pilot Assessment","year":2017,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Doris Duke Charitable Foundation","keywords":"mHealth; Atrial fibrillation; Health literacy; Medicine; Randomized controlled trial; Conversation; Literacy; Clinical trial; Health care; Physical therapy; Psychology; Nursing; Internal medicine; Psychological intervention","score_opus":0.041599789411267754,"score_gpt":0.3900412875123908,"score_spread":0.34844149810112307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773581467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98306906,0.000047288733,0.00081206084,0.0003338221,0.000034208493,0.0135547435,0.00047547242,0.00006151642,0.0016117508],"genre_scores_gemma":[0.9484657,0.00025038474,0.010206578,0.00077395147,0.00010177491,0.03703823,0.0013011798,0.00003365911,0.0018285647],"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.9945956,0.0029245124,0.0005162248,0.0003596678,0.00080962275,0.0007943915],"domain_scores_gemma":[0.99061793,0.004323252,0.0005666313,0.0008448105,0.0019572487,0.0016901263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015910564,0.00068771874,0.0008357044,0.0006046705,0.0013456374,0.001444795,0.0009274251,0.0012401692,0.003840015],"category_scores_gemma":[0.022812625,0.00060937955,0.00095791207,0.00035182227,0.0012344669,0.0022298235,0.002007029,0.002162148,0.0012515873],"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":[0.031701446,0.43560648,0.18084715,0.003550349,0.00076253427,0.0014954819,0.032769892,0.0029466664,0.008166707,0.0014451202,0.013568119,0.28714013],"study_design_scores_gemma":[0.030308308,0.4887867,0.4230555,0.00060888194,0.0010703735,0.0007699522,0.0147831,0.008292941,0.0081154,0.0014194215,0.022487931,0.00030151132],"about_ca_topic_score_codex":0.0031391585,"about_ca_topic_score_gemma":0.0044090627,"teacher_disagreement_score":0.015910564,"about_ca_system_score_codex":0.0010757487,"about_ca_system_score_gemma":0.004393736,"threshold_uncertainty_score":0.084144115},"labels":[],"label_agreement":null},{"id":"W2776648994","doi":"10.2196/cardio.8301","title":"Assessing the Use of Wrist-Worn Devices in Patients With Heart Failure: Feasibility Study","year":2017,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiovascular and exercise physiology","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; Ted Rogers Centre for Heart Research; University Health Network","funders":"","keywords":"Wrist; Heart failure; Heart rate; Medicine; Cardiology; Physical therapy; Internal medicine; Surgery; Blood pressure","score_opus":0.05944825325047295,"score_gpt":0.3455694881833263,"score_spread":0.28612123493285335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2776648994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988487,0.00013019504,0.00033177133,0.000038464113,0.0000073778374,0.0001439132,0.000104506056,0.000005278287,0.00038979753],"genre_scores_gemma":[0.9982886,0.000092031994,0.001071708,0.00006423686,0.000021167923,0.00014966115,0.00016023166,0.0000031003651,0.00014923757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982875,0.00076996395,0.00020238863,0.00024775427,0.00034403766,0.0001482678],"domain_scores_gemma":[0.9939126,0.0024813404,0.0014543986,0.00035416923,0.0011852018,0.000612343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027393287,0.0007059096,0.00059619354,0.000715617,0.00041904746,0.0006994538,0.00046358246,0.0010969223,0.00117213],"category_scores_gemma":[0.009825299,0.00046785732,0.00072718057,0.00049277925,0.00035528146,0.0010159203,0.00071508146,0.0007641162,0.00046632302],"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":[0.0012608392,0.0011158235,0.99041325,0.00005353517,0.000070883834,0.00008607468,0.00032738736,0.00006673167,0.0009019379,0.000008619242,0.00007324554,0.0056216456],"study_design_scores_gemma":[0.00021021655,0.011772186,0.98554635,0.000021496855,0.0000976896,0.0004097406,0.0005720977,0.00079253037,0.00030304602,0.00001819735,0.00023525047,0.000021317834],"about_ca_topic_score_codex":0.0011390428,"about_ca_topic_score_gemma":0.0016172649,"teacher_disagreement_score":0.0027393287,"about_ca_system_score_codex":0.00019037993,"about_ca_system_score_gemma":0.00039396712,"threshold_uncertainty_score":0.014487088},"labels":[],"label_agreement":null},{"id":"W2782069824","doi":"10.2196/cardio.8199","title":"Consumer Wearable Devices for Activity Monitoring Among Individuals After a Stroke: A Prospective Comparison","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto; Toronto Rehabilitation Institute","funders":"","keywords":"Wearable computer; Stroke (engine); Wearable technology; Physical medicine and rehabilitation; Medicine; Psychology; Computer science; Engineering; Embedded system","score_opus":0.02174993517004917,"score_gpt":0.3346416194887519,"score_spread":0.3128916843187027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782069824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99828845,0.00055092166,0.00024010554,0.000019099565,0.000014418483,0.00019817769,0.00023395842,0.0000027831832,0.0004520138],"genre_scores_gemma":[0.99863017,0.00026623427,0.00025277762,0.000034585002,0.00001980606,0.00020818079,0.00034466598,0.0000024429469,0.00024114735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983077,0.00042760876,0.00032465102,0.0003171205,0.00044761138,0.00017534499],"domain_scores_gemma":[0.9970891,0.0006395503,0.0010341771,0.00021607953,0.0007430125,0.00027808445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024781746,0.0005472035,0.0005558398,0.0011906186,0.00065866386,0.0007801277,0.00030953978,0.000922163,0.0021083953],"category_scores_gemma":[0.0038329822,0.00040423303,0.0010930346,0.0011005743,0.00033744916,0.0010233822,0.00075118255,0.00068205484,0.0007137746],"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":[0.0038142663,0.00089406077,0.9899132,0.000084649866,0.00039613215,0.000058434787,0.00025960282,0.000028230983,0.00032256587,0.000029885188,0.00009137937,0.0041075326],"study_design_scores_gemma":[0.0002576064,0.0071043246,0.9904997,0.000046774763,0.0003386056,0.00022921276,0.0007556368,0.00017744939,0.0001288836,0.00003101099,0.00041645268,0.000014267403],"about_ca_topic_score_codex":0.0014588194,"about_ca_topic_score_gemma":0.0020829758,"teacher_disagreement_score":0.0024781746,"about_ca_system_score_codex":0.0002787258,"about_ca_system_score_gemma":0.0003674319,"threshold_uncertainty_score":0.013105929},"labels":[],"label_agreement":null},{"id":"W2784452976","doi":"10.2196/cardio.7586","title":"Digital Health Innovation: A Toolkit to Navigate From Concept to Clinical Testing","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Digital health; Multidisciplinary approach; Psychological intervention; Wearable computer; Computer science; eHealth; Wearable technology; Knowledge management; Smartwatch; Data science; Health care; Medicine","score_opus":0.1543190698428524,"score_gpt":0.5282561955883242,"score_spread":0.3739371257454718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784452976","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010256058,0.0059771105,0.77690303,0.064922385,0.0022933374,0.004984192,0.0015919658,0.034756824,0.09831521],"genre_scores_gemma":[0.032313354,0.0038324082,0.92845136,0.0057811947,0.0005142196,0.0063796793,0.0011055734,0.0023647083,0.019257601],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.96520984,0.021840442,0.0035060511,0.001476444,0.006702177,0.0012650603],"domain_scores_gemma":[0.9164424,0.05757344,0.0025567296,0.009832557,0.0047421115,0.008852758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.038663074,0.0018780832,0.0011329504,0.0057449,0.002535362,0.011024322,0.0056316108,0.0054392004,0.020124683],"category_scores_gemma":[0.06929668,0.001579767,0.001847739,0.0020381361,0.0077030207,0.014403007,0.031107668,0.008696811,0.015349672],"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":[0.00028371727,0.0010877551,0.0024761192,0.004605333,0.00010872837,0.0018233823,0.0389559,0.0032973464,0.0058952505,0.11149739,0.17676109,0.65320796],"study_design_scores_gemma":[0.00020735624,0.00038205084,0.0010595818,0.003109939,0.000038946408,0.0014044073,0.007960384,0.002762059,0.0023854396,0.12374863,0.85672355,0.00021757394],"about_ca_topic_score_codex":0.0007538616,"about_ca_topic_score_gemma":0.001766886,"teacher_disagreement_score":0.038663074,"about_ca_system_score_codex":0.0026158278,"about_ca_system_score_gemma":0.013414232,"threshold_uncertainty_score":0.2044723},"labels":[],"label_agreement":null},{"id":"W2787956891","doi":"10.2196/cardio.8802","title":"Smartphone Apps Using Photoplethysmography for Heart Rate Monitoring: Meta-Analysis","year":2018,"lang":"en","type":"review","venue":"JMIR Cardio","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Photoplethysmogram; Software portability; Computer science; Vital signs; Mobile phone; Real-time computing; Embedded system; Smart phone; Smartphone application; Wireless; Multimedia; Telecommunications; Medicine; Operating system","score_opus":0.1495121303926708,"score_gpt":0.3569454647860992,"score_spread":0.20743333439342837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787956891","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009022854,0.98834586,0.0007972409,0.00018648725,0.00019362,0.00036053092,0.0006833247,0.00004333835,0.00036671697],"genre_scores_gemma":[0.2963508,0.69336647,0.0036011736,0.0013247043,0.00050544116,0.0024505865,0.0016141657,0.000074038566,0.00071267853],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99046785,0.004207545,0.0028409082,0.0011027175,0.001056264,0.00032467884],"domain_scores_gemma":[0.9779139,0.016293226,0.0033575802,0.00080967974,0.0014172597,0.00020838257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012923793,0.002876207,0.01528737,0.0047280793,0.00062763656,0.0034283593,0.0021607885,0.0024418193,0.004657718],"category_scores_gemma":[0.032169916,0.0012385596,0.04714615,0.0062279645,0.0007162522,0.0017998796,0.0014178265,0.0020478084,0.00038462196],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033943178,0.00003949418,0.0051961,0.24604861,0.7362719,0.0001268038,0.00006165001,0.00034673372,0.00020068242,0.000079361555,0.00048547063,0.007748885],"study_design_scores_gemma":[0.00063789636,0.00019597885,0.0035837009,0.011593322,0.9829199,0.00006751058,0.000022376245,0.000120455785,0.000078677076,0.00008560368,0.0006799768,0.000014566238],"about_ca_topic_score_codex":0.0048783543,"about_ca_topic_score_gemma":0.008097839,"teacher_disagreement_score":0.01528737,"about_ca_system_score_codex":0.0017440079,"about_ca_system_score_gemma":0.0020381904,"threshold_uncertainty_score":0.06834835},"labels":[],"label_agreement":null},{"id":"W2789253153","doi":"10.2196/cardio.9075","title":"Remote Monitoring of Patients Undergoing Transcatheter Aortic Valve Replacement: A Framework for Postprocedural Telemonitoring","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Medicine; Medical emergency; Valve replacement; Telemedicine; Health care; Wearable computer; Computer science; Stenosis; Cardiology; Embedded system","score_opus":0.01803240011492679,"score_gpt":0.3464078649647341,"score_spread":0.3283754648498073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789253153","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.084604286,0.0031447976,0.8672585,0.008390339,0.0002063408,0.0009993574,0.00030247474,0.0007936324,0.034300275],"genre_scores_gemma":[0.6503899,0.0014512409,0.34443095,0.00034206893,0.00008581257,0.0005340507,0.0003722356,0.000045754176,0.0023479986],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9968348,0.001805996,0.00020828469,0.00048715132,0.00041912586,0.00024462485],"domain_scores_gemma":[0.9974179,0.0011606956,0.00030437065,0.00027682516,0.00049879757,0.00034130603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043192403,0.0006459321,0.00027245708,0.0014194133,0.0010654138,0.0032794182,0.0015527228,0.0013600334,0.0015344517],"category_scores_gemma":[0.0035263412,0.00023807204,0.00078380166,0.0006704243,0.0019605379,0.002752801,0.0033565273,0.0013012604,0.00037166083],"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":[0.00039535103,0.0006933117,0.04492537,0.0016826511,0.00015596427,0.005894391,0.033144634,0.031985268,0.028333342,0.45273808,0.009406966,0.39064467],"study_design_scores_gemma":[0.000090465444,0.0014389702,0.05206799,0.0038311402,0.0003755583,0.005695701,0.04003244,0.39894247,0.01433834,0.21630065,0.26661888,0.0002673548],"about_ca_topic_score_codex":0.002513659,"about_ca_topic_score_gemma":0.002121085,"teacher_disagreement_score":0.0043192403,"about_ca_system_score_codex":0.001321836,"about_ca_system_score_gemma":0.0025739204,"threshold_uncertainty_score":0.022842586},"labels":[],"label_agreement":null},{"id":"W2789999811","doi":"10.2196/cardio.8574","title":"Measuring Moderate-Intensity Exercise with the Apple Watch: Validation Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Physical Activity and Health","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"British Heart Foundation","keywords":"Intensity (physics); Environmental science; Optics; Physics","score_opus":0.08260748343274867,"score_gpt":0.3131234625609666,"score_spread":0.23051597912821797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789999811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972796,0.000052487314,0.0016572723,0.000014314872,0.000012598421,0.00035227212,0.00011842059,0.000012847785,0.0005002539],"genre_scores_gemma":[0.9933711,0.000084990206,0.004592777,0.000085046646,0.000022374401,0.0005373642,0.0006611741,0.000015808568,0.00062938186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99756515,0.0010919458,0.00019453892,0.0004229698,0.00059236295,0.00013301177],"domain_scores_gemma":[0.99175054,0.003700003,0.0009009358,0.001009545,0.002174933,0.00046413613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007125007,0.00081138907,0.00044360373,0.00047410777,0.00040394318,0.00057408016,0.0006707627,0.00086989155,0.0010097933],"category_scores_gemma":[0.011062594,0.00041316505,0.00070453656,0.0002778473,0.00068088004,0.00049666996,0.0006387645,0.0005872569,0.000591409],"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":[0.0071092644,0.011730662,0.92238283,0.00022931701,0.0006224851,0.00017961815,0.0032798063,0.0008670794,0.015600548,0.00022803101,0.00064285833,0.037127484],"study_design_scores_gemma":[0.0008883259,0.02580836,0.96390426,0.00006350974,0.00028966626,0.00040698829,0.00064468203,0.0029869245,0.0030168951,0.00011790204,0.0018358208,0.000036628262],"about_ca_topic_score_codex":0.0015440256,"about_ca_topic_score_gemma":0.0022419218,"teacher_disagreement_score":0.007125007,"about_ca_system_score_codex":0.00025767946,"about_ca_system_score_gemma":0.00050403725,"threshold_uncertainty_score":0.037681103},"labels":[],"label_agreement":null},{"id":"W2790815684","doi":"10.2196/cardio.9534","title":"Handheld Ultrasound as a Novel Predictive Tool in Atrial Fibrillation: Prediction of Outcomes Following Electrical Cardioversion","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Atrial fibrillation; Electrical cardioversion; Cardioversion; Cardiology; Internal medicine; Medicine; Ultrasound; Radiology","score_opus":0.0312766725518684,"score_gpt":0.3174038287609131,"score_spread":0.2861271562090447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790815684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993476,0.0002937063,0.00009173763,0.000035904835,0.000004344384,0.0000051858788,0.00005320498,0.0000029568487,0.00016530405],"genre_scores_gemma":[0.99968946,0.00008143787,0.00011244815,0.000008492772,0.00001667433,0.0000035404055,0.000059903698,6.331793e-7,0.000027439331],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997546,0.000083771774,0.00002735252,0.00004887334,0.0000563139,0.00002893949],"domain_scores_gemma":[0.9969591,0.0011753989,0.0012952269,0.00009600716,0.00016239581,0.00031195622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003960659,0.00024955187,0.0002520413,0.00044799777,0.00012107491,0.00045182678,0.0002460695,0.00036764215,0.0008102283],"category_scores_gemma":[0.00427413,0.00011377132,0.00018990654,0.0003795566,0.00021452906,0.00023149364,0.00026989853,0.0005034169,0.00012319096],"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":[0.00015071119,0.000025235728,0.9970214,0.0000067777905,0.000015048807,0.00004282956,0.000018545226,0.000063732106,0.0001829392,0.000004452854,0.000027018863,0.00244137],"study_design_scores_gemma":[0.00001847048,0.00031271094,0.99783957,0.000011356902,0.000027560018,0.00042458554,0.00004506717,0.0010728133,0.00016242595,0.000022893208,0.00005868524,0.000003910076],"about_ca_topic_score_codex":0.0009000169,"about_ca_topic_score_gemma":0.0010815746,"teacher_disagreement_score":0.0009000169,"about_ca_system_score_codex":0.00016860098,"about_ca_system_score_gemma":0.0001736413,"threshold_uncertainty_score":0.0027105212},"labels":[],"label_agreement":null},{"id":"W2790993668","doi":"10.2196/cardio.8710","title":"Monitoring Patients With Implantable Cardioverter Defibrillators Using Mobile Phone Electrocardiogram: Case Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac pacing and defibrillation studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Implantable cardioverter-defibrillator; Atrial fibrillation; Medical emergency; Cardiology; Internal medicine; Mobile phone; Defibrillation; Ventricular fibrillation; Emergency medicine; Intensive care medicine; Computer science; Telecommunications","score_opus":0.019151587099659324,"score_gpt":0.30908515628085786,"score_spread":0.28993356918119856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790993668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99451363,0.00091463083,0.00093740487,0.00074219814,0.00004041086,0.000088765504,0.000048561247,0.000016167049,0.0026982178],"genre_scores_gemma":[0.99823666,0.0005577503,0.00045915155,0.0003161356,0.00010416758,0.00001774034,0.000034916,0.000005849508,0.00026759427],"study_design_codex":"case_report","study_design_gemma":"case_report","domain_scores_codex":[0.9992342,0.00019083204,0.00010528218,0.00014060154,0.0001303012,0.00019873542],"domain_scores_gemma":[0.9977496,0.0007177811,0.0006455943,0.00013554996,0.0001557753,0.0005956468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005347135,0.0008574933,0.00050194305,0.0012247039,0.0019389727,0.0011118021,0.00089342386,0.0026281169,0.0013930771],"category_scores_gemma":[0.0038406933,0.0005539078,0.00075041695,0.0012203889,0.0010047805,0.0010137303,0.0009863696,0.001790345,0.00040745892],"study_design_candidate":"case_report","study_design_consensus":"case_report","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012431531,0.00046562724,0.21851076,0.00008083984,0.000038254853,0.7693824,0.0040798252,0.00013805102,0.00095499563,0.00021659565,0.00090138474,0.0051069967],"study_design_scores_gemma":[0.000021526968,0.00045046015,0.052704554,0.00005438815,0.000034168806,0.94168097,0.002973213,0.00044219932,0.0004043658,0.00011786591,0.0010910258,0.000025174153],"about_ca_topic_score_codex":0.0034200135,"about_ca_topic_score_gemma":0.005119222,"teacher_disagreement_score":0.0034200135,"about_ca_system_score_codex":0.000785197,"about_ca_system_score_gemma":0.00062910264,"threshold_uncertainty_score":0.0068002343},"labels":[],"label_agreement":null},{"id":"W2793487170","doi":"10.2196/cardio.9000","title":"Enhancing User Experience Through User Study: Design of an mHealth Tool for Self-Management and Care Engagement of Cardiovascular Disease Patients","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Seoul National University; Seoul National University Bundang Hospital","keywords":"mHealth; Usability; Medicine; Likert scale; User experience design; Self-management; Disease management; Focus group; Health care; Medical education; Applied psychology; Psychology; Disease; Nursing; Computer science; Psychological intervention; Human–computer interaction","score_opus":0.05675034689440523,"score_gpt":0.4080586784213296,"score_spread":0.35130833152692437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793487170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97305775,0.00008431421,0.022004617,0.0001609419,0.00003188207,0.003210957,0.00009199537,0.00018491539,0.0011726088],"genre_scores_gemma":[0.908061,0.00015134846,0.083352074,0.00026384692,0.000022678043,0.006334585,0.00013983701,0.00006165789,0.0016128807],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9961081,0.0027654944,0.00026627377,0.00031209356,0.00027439545,0.00027363922],"domain_scores_gemma":[0.9916266,0.005671101,0.00027691963,0.00044703248,0.0012431241,0.0007351895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008127941,0.00072730146,0.0005892071,0.00074324734,0.00094547676,0.0013865214,0.0011218421,0.0012033043,0.0025009196],"category_scores_gemma":[0.012115364,0.00048154182,0.000786669,0.00029980863,0.0007718244,0.0012286151,0.0013255507,0.00064364815,0.0004699254],"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":[0.006249759,0.027957276,0.12870967,0.005533187,0.00038900066,0.0052033667,0.320884,0.00392855,0.11331297,0.00223864,0.005435778,0.3801579],"study_design_scores_gemma":[0.006782128,0.21238971,0.31783515,0.0021803202,0.0022347143,0.008490196,0.18419509,0.06093297,0.126371,0.0031943927,0.07403844,0.0013558714],"about_ca_topic_score_codex":0.0005674187,"about_ca_topic_score_gemma":0.00076873816,"teacher_disagreement_score":0.008127941,"about_ca_system_score_codex":0.0005785594,"about_ca_system_score_gemma":0.0010022159,"threshold_uncertainty_score":0.0429852},"labels":[],"label_agreement":null},{"id":"W2796381084","doi":"10.2196/cardio.9153","title":"A Novel Intelligent Two-Way Communication System for Remote Heart Failure Medication Uptitration (the CardioCoach Study): Randomized Controlled Feasibility Trial","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Randomized controlled trial; Heart failure; Medicine; Intensive care medicine; Cardiology; Internal medicine","score_opus":0.040257157928353424,"score_gpt":0.34858827056629044,"score_spread":0.308331112637937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796381084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97823024,0.004488774,0.0011678068,0.0008011768,0.0009348068,0.011770014,0.00074294483,0.000116599665,0.0017476871],"genre_scores_gemma":[0.9569136,0.0025963895,0.004491512,0.0016095748,0.00128323,0.029965203,0.00087696617,0.00002605638,0.002237468],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99800116,0.0011219612,0.0001519519,0.00036259514,0.00013764075,0.00022472588],"domain_scores_gemma":[0.9982387,0.00059196434,0.00047419855,0.00017518479,0.00013778437,0.00038212966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003289818,0.0017600843,0.0039589126,0.00050975016,0.0006558567,0.0016231339,0.0010674502,0.0029406042,0.008255049],"category_scores_gemma":[0.003666383,0.00074000156,0.0020830967,0.0005786038,0.0014338004,0.0016112084,0.00092863565,0.002634489,0.0010143544],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.97571087,0.013770137,0.00071905775,0.0006743256,0.00086065853,0.000025489418,0.000041577194,0.00012773232,0.0004125521,0.000076796074,0.00029722226,0.007283599],"study_design_scores_gemma":[0.9295147,0.06768295,0.0015065348,0.000040839335,0.0005811663,0.000011718109,0.000023145456,0.0002590017,0.00008307882,0.00007534635,0.00021049523,0.000010979752],"about_ca_topic_score_codex":0.0010654051,"about_ca_topic_score_gemma":0.0013550557,"teacher_disagreement_score":0.008255049,"about_ca_system_score_codex":0.0006951768,"about_ca_system_score_gemma":0.0013825913,"threshold_uncertainty_score":0.027615845},"labels":[],"label_agreement":null},{"id":"W2799649211","doi":"10.2196/10057","title":"Mobile Phone Apps to Support Heart Failure Self-Care Management: Integrative Review","year":2018,"lang":"en","type":"review","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":126,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"mHealth; Mobile apps; Mobile phone; Heart failure; Telemedicine; Self-management; Medicine; Health care; Internet privacy; Medical emergency; Psychology; Nursing; World Wide Web; Computer science; Psychological intervention; Internal medicine","score_opus":0.04675040426041069,"score_gpt":0.4693805116904115,"score_spread":0.42263010743000085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799649211","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00029999076,0.9991215,0.000054149663,0.00010519184,0.00006716565,0.00006797663,0.000024325533,0.000003778625,0.0002559258],"genre_scores_gemma":[0.002530599,0.99675554,0.00028650608,0.00015962654,0.00006416098,0.000110778004,0.000029125347,0.0000015001433,0.00006219662],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99827325,0.00055612065,0.0005002402,0.00013765648,0.00044693178,0.000085648615],"domain_scores_gemma":[0.9903831,0.0075765955,0.0010126657,0.000098645585,0.0008035995,0.00012541935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002982721,0.0012061627,0.003329492,0.00935069,0.00056449015,0.0023762656,0.0015877292,0.0017624451,0.0043378407],"category_scores_gemma":[0.01186883,0.0005895919,0.003753621,0.0054749134,0.000566537,0.0018919538,0.0013645646,0.0011910894,0.00046931257],"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":[0.00011854041,0.00009611696,0.00034254842,0.74197125,0.0017318346,0.000104205,0.00035626942,0.00011966512,0.00032011286,0.0006527867,0.00305888,0.25112784],"study_design_scores_gemma":[0.00017856681,0.0004939758,0.003999735,0.88412935,0.019132903,0.0007900233,0.0005254368,0.00018403688,0.0003373792,0.00067763875,0.08950337,0.000047561196],"about_ca_topic_score_codex":0.0029044044,"about_ca_topic_score_gemma":0.006275892,"teacher_disagreement_score":0.00935069,"about_ca_system_score_codex":0.0012885671,"about_ca_system_score_gemma":0.005597922,"threshold_uncertainty_score":0.01577431},"labels":[],"label_agreement":null},{"id":"W2800462421","doi":"10.2196/cardio.9424","title":"Mobile Technology Utilization Among Patients From Diverse Cultural and Linguistic Backgrounds Attending Cardiac Rehabilitation in Australia: Descriptive, Case-Matched Comparative Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Rehabilitation; Descriptive research; Cultural diversity; Medicine; Linguistics; Psychology; Sociology; Physical therapy; Social science; Anthropology","score_opus":0.08876650932254476,"score_gpt":0.4094278377324062,"score_spread":0.32066132840986145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800462421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99962795,0.00006664064,0.00002232235,0.000012926469,0.000001274707,0.000031347536,0.000029144587,6.278221e-7,0.00020774014],"genre_scores_gemma":[0.99958616,0.00012562882,0.00006023519,0.000047721216,0.000004818013,0.000045597222,0.000052626074,5.4352034e-7,0.00007671433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911445,0.00021369614,0.00014328789,0.00015705552,0.00018639762,0.00018507373],"domain_scores_gemma":[0.9988512,0.00023104226,0.00048007714,0.00005197061,0.00014028185,0.0002454427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076802063,0.00029426755,0.0005827936,0.0019105177,0.001433167,0.0008708017,0.00037787596,0.000793849,0.0016329614],"category_scores_gemma":[0.0020600941,0.000557469,0.0004932379,0.0015862806,0.0005746679,0.0009998698,0.0010507957,0.00060406455,0.00033358138],"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":[0.00015629047,0.0006625228,0.9925829,0.00006256607,0.000031870466,0.000966067,0.0030346771,0.000014506007,0.00030770883,0.00002459684,0.000066746215,0.0020894944],"study_design_scores_gemma":[0.000024871793,0.0017876057,0.9831013,0.0000305853,0.00004592646,0.002776285,0.011772555,0.00013195127,0.00007939695,0.000030836447,0.00020404607,0.000014581395],"about_ca_topic_score_codex":0.011859864,"about_ca_topic_score_gemma":0.01557882,"teacher_disagreement_score":0.011859864,"about_ca_system_score_codex":0.0009410613,"about_ca_system_score_gemma":0.00063783344,"threshold_uncertainty_score":0.023581684},"labels":[],"label_agreement":null},{"id":"W2800564393","doi":"10.2196/10149","title":"Correction: Assessing the Use of Wrist-Worn Devices in Patients with Heart Failure: Feasibility Study","year":2018,"lang":"en","type":"erratum","venue":"JMIR Cardio","topic":"Cardiac pacing and defibrillation studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Ted Rogers Centre for Heart Research; University Health Network","funders":"","keywords":"Wrist; Heart failure; Medicine; Reliability engineering; Physical medicine and rehabilitation; Computer science; Medical physics; Engineering; Cardiology; Surgery","score_opus":0.04887618333020185,"score_gpt":0.3364162893899078,"score_spread":0.287540106059706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800564393","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000121646386,0.0011080304,0.00040624643,0.06084824,0.9352794,0.000030952142,0.00094193046,0.00017779364,0.0010856731],"genre_scores_gemma":[0.012063302,0.009607234,0.00483436,0.19822933,0.70903146,0.00038831617,0.0020717375,0.00097303255,0.06280115],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9892888,0.002412362,0.0026741123,0.0010258264,0.0038692432,0.0007296209],"domain_scores_gemma":[0.9273949,0.026082482,0.0043190834,0.0027812636,0.037231073,0.0021911757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007998645,0.003128457,0.0026783873,0.004160191,0.002957222,0.0042925365,0.0039658323,0.009355343,0.02449817],"category_scores_gemma":[0.1340858,0.0016491973,0.0026742064,0.002643939,0.0024867875,0.002329915,0.0017649092,0.015893014,0.0149997845],"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":[0.000032071315,0.000008749359,0.00012507,0.00014105526,0.00001720996,0.00022249809,0.000023016979,0.000027972406,0.000016944003,0.0002709001,0.9953057,0.0038087866],"study_design_scores_gemma":[0.0002181312,0.00006705788,0.002786739,0.0021332086,0.00014099036,0.0021938263,0.00020759135,0.00062391575,0.0004006243,0.0018957398,0.98920447,0.00012769211],"about_ca_topic_score_codex":0.025782378,"about_ca_topic_score_gemma":0.026275577,"teacher_disagreement_score":0.025782378,"about_ca_system_score_codex":0.0046196342,"about_ca_system_score_gemma":0.0066504558,"threshold_uncertainty_score":0.08195454},"labels":[],"label_agreement":null},{"id":"W2800915472","doi":"10.2196/cardio.9936","title":"HerzMobil, an Integrated and Collaborative Telemonitoring-Based Disease Management Program for Patients With Heart Failure: A Feasibility Study Paving the Way to Routine Care","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Heart failure; Medicine; Disease management; Medical emergency; Intensive care medicine; Engineering; Disease; Medical physics; Computer science; Internal medicine","score_opus":0.01211124113746278,"score_gpt":0.31354690118312634,"score_spread":0.3014356600456636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800915472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99706656,0.000052811625,0.00033400647,0.00008843051,0.000015263626,0.0021003336,0.00008743303,0.000015622836,0.00023962854],"genre_scores_gemma":[0.9870552,0.00019970136,0.0054500066,0.00040040305,0.000094133095,0.006116753,0.0004351477,0.0000064434757,0.0002422069],"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.9972204,0.0017368913,0.00015126691,0.00023539156,0.0002693902,0.00038668455],"domain_scores_gemma":[0.9968541,0.0007792628,0.00032178717,0.00023512833,0.00023342675,0.0015763091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005155875,0.000717461,0.00056242116,0.0007361307,0.0008209297,0.00064131676,0.00075557554,0.0007787777,0.0017617188],"category_scores_gemma":[0.004033221,0.00039665043,0.000914479,0.00035108716,0.00073776353,0.0012749941,0.0014366747,0.0010367291,0.0001887575],"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":[0.11145911,0.4876049,0.2201123,0.0009809695,0.00079470273,0.00087190385,0.003073731,0.0015680318,0.01103223,0.00029378568,0.0016305052,0.16057791],"study_design_scores_gemma":[0.0669109,0.67766994,0.24910563,0.00008701884,0.00038337288,0.00025159068,0.0012716207,0.0019205781,0.00089467684,0.00007989053,0.0013551265,0.00006961009],"about_ca_topic_score_codex":0.0025420056,"about_ca_topic_score_gemma":0.0039311294,"teacher_disagreement_score":0.005155875,"about_ca_system_score_codex":0.0007814472,"about_ca_system_score_gemma":0.0033171992,"threshold_uncertainty_score":0.027267218},"labels":[],"label_agreement":null},{"id":"W2802423628","doi":"10.2196/cardio.8903","title":"Exploring Health Information-Seeking Preferences of Older Adults With Hypertension: Quasi-Experimental Design","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Information seeking; Psychology; Medical decision making; Health information; Patient participation; Gerontology; Social psychology; Clinical decision making; Health care; Applied psychology; Medicine; Family medicine; Computer science","score_opus":0.15839665267722086,"score_gpt":0.4046463099011425,"score_spread":0.24624965722392161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802423628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93768114,0.00013335067,0.0013238355,0.00016846882,0.00014072245,0.059056036,0.00039387812,0.000031450698,0.0010711078],"genre_scores_gemma":[0.71406764,0.00029526695,0.01439442,0.000813785,0.00023590478,0.265149,0.00035425293,0.000009996876,0.0046798643],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99387133,0.0031478212,0.0005693766,0.0007462167,0.000671941,0.0009933666],"domain_scores_gemma":[0.9932579,0.0035643426,0.001024597,0.00080222834,0.0006412847,0.0007097474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010635117,0.0011905126,0.0018422559,0.0012790577,0.0026991116,0.00110817,0.0013368502,0.002598507,0.01276132],"category_scores_gemma":[0.008513058,0.0015856344,0.0012654394,0.0007411922,0.0025665981,0.0010613606,0.0011843455,0.002201975,0.0013174114],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.11298712,0.7691069,0.02726554,0.0024907347,0.00048102188,0.00029701562,0.015224878,0.0010071379,0.011851575,0.0014335689,0.0013423448,0.056512043],"study_design_scores_gemma":[0.12838455,0.7678752,0.07980827,0.00029070093,0.0004770899,0.000089274574,0.006556393,0.002053096,0.0039464766,0.0018794703,0.008515688,0.00012379733],"about_ca_topic_score_codex":0.0023102697,"about_ca_topic_score_gemma":0.003573197,"teacher_disagreement_score":0.01276132,"about_ca_system_score_codex":0.0015112077,"about_ca_system_score_gemma":0.004088291,"threshold_uncertainty_score":0.056244552},"labels":[],"label_agreement":null},{"id":"W2802698078","doi":"10.2196/cardio.8718","title":"Food Addiction Support: Website Content Analysis","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Eating Disorders and Behaviors","field":"Psychology","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Food addiction; Addiction; Overweight; Focus (optics); Obesity; Disease; Psychology; Medicine; Environmental health; Psychiatry","score_opus":0.04757022133929137,"score_gpt":0.32865382874394156,"score_spread":0.2810836074046502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802698078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8600443,0.004608879,0.0066744634,0.0010761676,0.00012892851,0.022004876,0.08414056,0.0005693032,0.020752432],"genre_scores_gemma":[0.84478486,0.004080422,0.05931022,0.00041657928,0.00014689757,0.04434158,0.04288273,0.0002543903,0.0037822768],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99053615,0.0030641481,0.0031640234,0.0006468882,0.0022120907,0.00037671137],"domain_scores_gemma":[0.9189696,0.051732916,0.012306626,0.0017894024,0.014382565,0.00081888185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014175132,0.00050495187,0.0013924424,0.033488166,0.0007878255,0.0030362513,0.0012373958,0.00047938773,0.007888935],"category_scores_gemma":[0.06206344,0.00040542518,0.0024014977,0.03092034,0.00079596654,0.0026680415,0.0025161805,0.00062268047,0.0010897238],"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":[0.002148116,0.0012103451,0.37960023,0.06430369,0.0018182416,0.0009800631,0.035737753,0.000913707,0.0026133233,0.002440489,0.026326409,0.48190767],"study_design_scores_gemma":[0.00055505894,0.0011485426,0.8506069,0.012705014,0.0031393734,0.00096763385,0.041241262,0.0046539516,0.0033711311,0.0024676817,0.07886497,0.0002783991],"about_ca_topic_score_codex":0.002964662,"about_ca_topic_score_gemma":0.0048092734,"teacher_disagreement_score":0.033488166,"about_ca_system_score_codex":0.0022107079,"about_ca_system_score_gemma":0.0044679046,"threshold_uncertainty_score":0.07496613},"labels":[],"label_agreement":null},{"id":"W2883526374","doi":"10.2196/10228","title":"A Mobile Phone–Based Healthy Lifestyle Monitoring Tool for People With Mental Health Problems (MyHealthPA): Development and Pilot Testing","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of New South Wales","keywords":"Mental health; Psychological intervention; Mood; Medicine; Mental illness; Gerontology; Psychology; Psychiatry","score_opus":0.03557245097815456,"score_gpt":0.33720523360359383,"score_spread":0.30163278262543924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883526374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95634776,0.00060916564,0.009180508,0.0008275958,0.000092418755,0.02440647,0.004589862,0.0006167455,0.0033294128],"genre_scores_gemma":[0.82191604,0.0015827976,0.107209265,0.0008440951,0.0001303868,0.05870636,0.006662451,0.00010290314,0.0028457008],"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9981987,0.0010097594,0.00021549019,0.00018928933,0.00028291313,0.00010382572],"domain_scores_gemma":[0.9965365,0.002012315,0.00046109702,0.0001685445,0.0005412917,0.00028041087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005853819,0.0006417753,0.0005288379,0.0011738316,0.000324447,0.00051757006,0.00087478023,0.0007057135,0.003908284],"category_scores_gemma":[0.007879733,0.000604442,0.0011846455,0.00050001906,0.0002633342,0.0008844563,0.0010244733,0.0006921234,0.0008041959],"study_design_candidate":"nonrandomized_trial","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":[0.009048678,0.019539922,0.33160836,0.0038807914,0.00077987975,0.00037578944,0.005017254,0.0014184606,0.010420881,0.0003039529,0.0099835545,0.60762244],"study_design_scores_gemma":[0.00678712,0.044071298,0.91445214,0.0011950013,0.00091613666,0.0009968606,0.0023677358,0.0068628034,0.0049435208,0.000536942,0.016713295,0.00015707973],"about_ca_topic_score_codex":0.0009897825,"about_ca_topic_score_gemma":0.0022758555,"teacher_disagreement_score":0.005853819,"about_ca_system_score_codex":0.0002829773,"about_ca_system_score_gemma":0.0009856006,"threshold_uncertainty_score":0.030958295},"labels":[],"label_agreement":null},{"id":"W2888090456","doi":"10.2196/11358","title":"Quality of Medical Advice Provided Between Members of a Web-Based Message Board for Patients With Implantable Defibrillators: Mixed-Methods Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Aging; American Heart Association","keywords":"Advice (programming); Medical advice; Context (archaeology); Quality (philosophy); Medicine; The Internet; Against medical advice; Medical emergency; Medical education; World Wide Web; Computer science; Nursing; Pediatrics","score_opus":0.046032344811542565,"score_gpt":0.4959039948680518,"score_spread":0.44987165005650925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888090456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937895,0.00043295574,0.0032779088,0.00021190022,0.0000187185,0.00094636873,0.0003432625,0.000010672194,0.00096872664],"genre_scores_gemma":[0.9864786,0.00037407395,0.008502083,0.00039826194,0.000053260843,0.003232025,0.00046526294,0.000016272073,0.0004800448],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9350809,0.04842556,0.0058226,0.0031222985,0.00611661,0.0014319544],"domain_scores_gemma":[0.73089415,0.2074001,0.036968444,0.0074543976,0.014881946,0.0024009175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.047996193,0.0004758216,0.0007797015,0.005165285,0.0020288068,0.0028353676,0.0017440536,0.0012204604,0.0023614068],"category_scores_gemma":[0.14707346,0.0006806893,0.0012867827,0.0032945103,0.0015653638,0.0033780027,0.0033822302,0.0011776844,0.00033769262],"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":[0.0014846395,0.0027370316,0.74377644,0.0021244169,0.0008203443,0.00038905346,0.19136465,0.00033144339,0.00085668033,0.0011824952,0.0009539085,0.053978834],"study_design_scores_gemma":[0.0004649511,0.005152477,0.6886675,0.0027634536,0.001020883,0.0009878911,0.2747826,0.009030611,0.0036230898,0.0024975035,0.010702267,0.0003068294],"about_ca_topic_score_codex":0.0026867585,"about_ca_topic_score_gemma":0.003657133,"teacher_disagreement_score":0.047996193,"about_ca_system_score_codex":0.0032543421,"about_ca_system_score_gemma":0.0024525658,"threshold_uncertainty_score":0.25383115},"labels":[],"label_agreement":null},{"id":"W2888697609","doi":"10.2196/10183","title":"Multidisciplinary Smartphone-Based Interventions to Empower Patients With Acute Coronary Syndromes: Qualitative Study on Health Care Providers’ Perspectives","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Focus group; Psychological intervention; Medicine; Multidisciplinary approach; Qualitative research; Health care; Nursing; Descriptive statistics; Family medicine; Intervention (counseling)","score_opus":0.03850874791861456,"score_gpt":0.44119928262535757,"score_spread":0.402690534706743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888697609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857393,0.0012889812,0.0033955064,0.005070834,0.00013378388,0.00051761017,0.00021483612,0.000015003937,0.0036242523],"genre_scores_gemma":[0.99239737,0.0013105235,0.0020735327,0.0018986919,0.000038350547,0.00066978607,0.00007578397,0.000020614518,0.0015153803],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.98683923,0.010322223,0.0003381162,0.000551679,0.000637453,0.0013112627],"domain_scores_gemma":[0.9762381,0.018890766,0.0011138737,0.00029886668,0.0020428235,0.0014156069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017007673,0.00061432,0.0007889836,0.0013639878,0.0066805906,0.0030249502,0.0013788299,0.001717925,0.0026880533],"category_scores_gemma":[0.020566048,0.000669517,0.00063222006,0.0012041803,0.0051556574,0.0035385303,0.00484929,0.002521741,0.00024791624],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000314118,0.00005022877,0.0021129684,0.00023146828,0.0000057482407,0.00040000008,0.9925051,0.000023318462,0.0005117914,0.0005214944,0.00039386906,0.0032125756],"study_design_scores_gemma":[0.0000063992106,0.0000557309,0.0009262477,0.00024513036,0.0000052187315,0.000109084795,0.9951381,0.00007596349,0.00017861342,0.00016311958,0.0030880193,0.000008328914],"about_ca_topic_score_codex":0.0072634374,"about_ca_topic_score_gemma":0.011295394,"teacher_disagreement_score":0.017007673,"about_ca_system_score_codex":0.00443443,"about_ca_system_score_gemma":0.0061896658,"threshold_uncertainty_score":0.08994627},"labels":[],"label_agreement":null},{"id":"W2895879059","doi":"10.2196/10319","title":"A Remote Patient Monitoring Intervention for Patients With Chronic Obstructive Pulmonary Disease and Chronic Heart Failure: Pre-Post Economic Analysis of the Smart Program","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Southlake Regional Health Center; University of Toronto; St. Michael's Hospital","funders":"Government of Ontario; Ontario Centres of Excellence","keywords":"Medicine; Exacerbation; Psychological intervention; COPD; Population; Emergency department; Health care; Emergency medicine; Intervention (counseling); Physical therapy; Public health; Telemedicine; Environmental health; Internal medicine; Nursing","score_opus":0.007711159631097978,"score_gpt":0.28183955872972427,"score_spread":0.2741283990986263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895879059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969669,0.00022198299,0.00019166613,0.00020946252,0.00002201025,0.0011841215,0.0005052189,0.0000074633863,0.0006912178],"genre_scores_gemma":[0.99748343,0.00016029234,0.0004699174,0.000110716064,0.000038563092,0.0011049327,0.00042421487,0.0000025746915,0.00020551561],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99596786,0.00255904,0.00021825856,0.00021540103,0.00035733738,0.0006821644],"domain_scores_gemma":[0.9943666,0.0025505763,0.001339175,0.000236874,0.00028910142,0.0012176455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035289642,0.00083928916,0.0008866269,0.0012518383,0.0007244356,0.00073240564,0.00076303195,0.00096046174,0.0047535435],"category_scores_gemma":[0.009613424,0.00034328512,0.0025323336,0.0008749745,0.0007167759,0.0011528252,0.0019314546,0.0012650422,0.0002109985],"study_design_candidate":"nonrandomized_trial","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":[0.36160034,0.11032642,0.30763635,0.0021880595,0.003202758,0.0004857127,0.0007941358,0.010152549,0.0013665105,0.0015167119,0.0022963153,0.19843419],"study_design_scores_gemma":[0.042164385,0.36114877,0.5772599,0.00027608185,0.0018504942,0.00020914132,0.0013262497,0.012981352,0.0007016192,0.0005766768,0.0014231787,0.00008213237],"about_ca_topic_score_codex":0.006057921,"about_ca_topic_score_gemma":0.0058096116,"teacher_disagreement_score":0.006057921,"about_ca_system_score_codex":0.0027213658,"about_ca_system_score_gemma":0.002864082,"threshold_uncertainty_score":0.019744992},"labels":[],"label_agreement":null},{"id":"W2897681595","doi":"10.2196/11466","title":"User-Centered Adaptation of an Existing Heart Failure Telemonitoring Program to Ensure Sustainability and Scalability: Qualitative Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Public Health Ontario; University of Toronto; Ted Rogers Centre for Heart Research; University Health Network","funders":"","keywords":"Scalability; Sustainability; Modalities; Scale (ratio); Computer science; Process management; Knowledge management; Business","score_opus":0.04859349920126982,"score_gpt":0.40926106513793525,"score_spread":0.36066756593666544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897681595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99018914,0.00039370658,0.003246014,0.0014329641,0.000053759602,0.0006158237,0.00015532701,0.000024841564,0.0038884785],"genre_scores_gemma":[0.9931524,0.0004977966,0.0024181684,0.0010005451,0.000017415432,0.00074256933,0.00007252543,0.000029388897,0.0020691894],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9779969,0.017281232,0.00046906428,0.0009554308,0.0012913522,0.0020060656],"domain_scores_gemma":[0.9542658,0.0359116,0.0022083607,0.0010236375,0.0037542714,0.0028363254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02853906,0.000553621,0.00075960794,0.0013151617,0.009647738,0.003696172,0.0025526187,0.0016773727,0.0030017663],"category_scores_gemma":[0.033756208,0.0007558503,0.00057122175,0.001465777,0.007399882,0.0038592513,0.0051263035,0.0029489892,0.0003509553],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026491136,0.00009166602,0.0022154455,0.00017194267,0.0000038105363,0.0004774443,0.99166054,0.000026270018,0.0003860949,0.0005078393,0.00037546828,0.0040571056],"study_design_scores_gemma":[0.000007758095,0.00010520951,0.0015296293,0.00022079807,0.0000047567332,0.00017015317,0.99283665,0.00012259588,0.00027798352,0.00013589219,0.0045741154,0.00001451741],"about_ca_topic_score_codex":0.016408319,"about_ca_topic_score_gemma":0.027018534,"teacher_disagreement_score":0.02853906,"about_ca_system_score_codex":0.008457087,"about_ca_system_score_gemma":0.010799151,"threshold_uncertainty_score":0.15093076},"labels":[],"label_agreement":null},{"id":"W2897848906","doi":"10.2196/cardio.9815","title":"Outsourcing the Remote Management of Cardiac Implantable Electronic Devices: Medical Care Quality Improvement Project","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac pacing and defibrillation studies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Medtronic","keywords":"Triage; Medical emergency; Medicine; Benchmarking; Protocol (science); Telemedicine; Quality management; Health care; Emergency medicine; Operations management; Business; Management system; Engineering; Pathology","score_opus":0.028961943581418702,"score_gpt":0.3640630394215961,"score_spread":0.33510109584017744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897848906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875693,0.00037188307,0.005025392,0.0014187191,0.000046315618,0.0027801525,0.00029398123,0.00010878905,0.0023855648],"genre_scores_gemma":[0.9770433,0.00051891926,0.018873917,0.000366739,0.00006691996,0.0014333287,0.00080565753,0.000020096635,0.00087113754],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.989202,0.006894812,0.00053055084,0.00060022844,0.001326455,0.0014458956],"domain_scores_gemma":[0.97964245,0.002864114,0.003690039,0.0023738125,0.0035464563,0.007883025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019953059,0.0008526735,0.00029611404,0.00080871064,0.001364993,0.0012635895,0.0013677562,0.00048959174,0.00180059],"category_scores_gemma":[0.017078737,0.00028764116,0.00059410353,0.00097288546,0.0009240456,0.00081064604,0.004613685,0.0009086698,0.00037565682],"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":[0.0059266314,0.016195117,0.40119827,0.0014232993,0.0003041446,0.0007445364,0.007169727,0.009126893,0.007945759,0.0013593761,0.0060884007,0.5425177],"study_design_scores_gemma":[0.0037733358,0.051663306,0.89322233,0.0005911988,0.00031242488,0.0010251822,0.009337968,0.014163268,0.009981957,0.00062708237,0.015222215,0.000079658916],"about_ca_topic_score_codex":0.0063067456,"about_ca_topic_score_gemma":0.0035458093,"teacher_disagreement_score":0.019953059,"about_ca_system_score_codex":0.0032657322,"about_ca_system_score_gemma":0.022322195,"threshold_uncertainty_score":0.10552311},"labels":[],"label_agreement":null},{"id":"W2898163116","doi":"10.2196/11332","title":"Feasibility of Telemonitoring Blood Pressure in Patients With Kidney Disease (Oxford Heart and Renal Protection Study-1): Observational Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Medical Research Council; Kidney Research UK; British Heart Foundation","keywords":"Medicine; Blood pressure; Observational study; Usability; Physical therapy; Kidney disease; Internal medicine; Emergency medicine","score_opus":0.06624251179829556,"score_gpt":0.3112743097323687,"score_spread":0.24503179793407315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898163116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982565,0.00027586566,0.00012914627,0.00008973881,0.000012629658,0.00009025653,0.0006668755,0.000005578153,0.0004733977],"genre_scores_gemma":[0.9990025,0.00009359303,0.00014161848,0.00007187628,0.00002374473,0.00007938412,0.00048387694,0.0000021955416,0.00010131147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973116,0.0012560986,0.00036206152,0.0004662075,0.00037667368,0.00022752743],"domain_scores_gemma":[0.99148387,0.0019227195,0.003962341,0.00068978075,0.00064592826,0.0012954066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00355991,0.00041737442,0.0008531969,0.0007817958,0.0008118589,0.0012941142,0.0006798889,0.0011650076,0.0021947445],"category_scores_gemma":[0.009345064,0.0006352694,0.0012177867,0.0013144686,0.0004038448,0.00093653926,0.0009439344,0.0014284335,0.0005063306],"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":[0.00074926676,0.00028278376,0.9977233,0.000033139928,0.00013534939,0.00003293381,0.00013656676,0.00002145858,0.00006240775,0.0000073800607,0.000106692634,0.0007087868],"study_design_scores_gemma":[0.00014424142,0.000532025,0.9987808,0.000012883332,0.00007560921,0.00007616626,0.00012144342,0.00012449018,0.000015357855,0.000009317594,0.0001018372,0.0000059270988],"about_ca_topic_score_codex":0.005056447,"about_ca_topic_score_gemma":0.0050131734,"teacher_disagreement_score":0.005056447,"about_ca_system_score_codex":0.000408473,"about_ca_system_score_gemma":0.00048459356,"threshold_uncertainty_score":0.018826842},"labels":[],"label_agreement":null},{"id":"W2900384816","doi":"10.2196/10499","title":"Implantable Cardioverter Defibrillator mHealth App for Physician Referrals and eHealth Education: ICD-TEACH Pilot Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Calgary; Libin Cardiovascular Institute of Alberta; Hamilton Health Sciences; McMaster University; Population Health Research Institute","funders":"McMaster University; Boston Scientific Corporation","keywords":"eHealth; mHealth; Implantable cardioverter-defibrillator; Medicine; Medical emergency; Internal medicine; Nursing; Health care; Psychological intervention","score_opus":0.07736580226748373,"score_gpt":0.4555352401368981,"score_spread":0.37816943786941437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900384816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934315,0.00004275654,0.00056195364,0.00015228626,0.000024187299,0.0048327567,0.00021462578,0.00004311515,0.0006969172],"genre_scores_gemma":[0.9690735,0.00042004194,0.010115904,0.001136097,0.00009992326,0.0159962,0.0007086539,0.000026907268,0.0024226904],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9983637,0.00066568196,0.00016069027,0.0001505919,0.00029104186,0.00036839242],"domain_scores_gemma":[0.99302495,0.003300719,0.0004693238,0.00042885393,0.0013127612,0.0014633168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053821728,0.000776168,0.00060587877,0.0006674338,0.0009384593,0.0009023431,0.00090461393,0.0012790803,0.004752292],"category_scores_gemma":[0.008044865,0.0006289305,0.00075085723,0.0002897915,0.0006365882,0.0011307553,0.0010193882,0.0012571842,0.0011689634],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012653769,0.65500844,0.1174821,0.002895264,0.00030003427,0.0031798314,0.026140993,0.0011064113,0.018025769,0.00043930978,0.0071715727,0.15559652],"study_design_scores_gemma":[0.02420111,0.6549222,0.26927698,0.0004137313,0.00054790213,0.0016340147,0.017560435,0.0043015545,0.011179415,0.00037922635,0.015413489,0.00017007095],"about_ca_topic_score_codex":0.0023933346,"about_ca_topic_score_gemma":0.00569994,"teacher_disagreement_score":0.0053821728,"about_ca_system_score_codex":0.00082346925,"about_ca_system_score_gemma":0.0031783595,"threshold_uncertainty_score":0.02846396},"labels":[],"label_agreement":null},{"id":"W2908398233","doi":"10.2196/cardio.9894","title":"Mobile Health for Central Sleep Apnea Screening Among Patients With Stable Heart Failure: Single-Cohort, Open, Prospective Trial","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Interquartile range; Central sleep apnea; Polysomnography; Sleep apnea; Heart failure; Pulse oximetry; Body mass index; Apnea; Population; Cardiology; Obstructive sleep apnea; Internal medicine; Physical therapy; Anesthesia","score_opus":0.02122577032991807,"score_gpt":0.3095569815648981,"score_spread":0.28833121123498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908398233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988991,0.0064770873,0.00028356863,0.00051990815,0.00041775586,0.0018786524,0.0006055594,0.000035376866,0.0007910353],"genre_scores_gemma":[0.9929408,0.0018687466,0.00057542813,0.00069927325,0.00074868475,0.0019873476,0.0005334151,0.0000075520165,0.00063874805],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9989569,0.00046688376,0.000100157034,0.00022494904,0.000081227074,0.00016981649],"domain_scores_gemma":[0.9977099,0.0007132326,0.0006231346,0.00021567635,0.00018889413,0.00054926076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024815588,0.0014462095,0.0023490642,0.00048223772,0.00072087237,0.001779179,0.00071792374,0.0029279287,0.0054043727],"category_scores_gemma":[0.0039019256,0.00061555894,0.0029936743,0.0004938773,0.0009248256,0.0014631392,0.0006732486,0.002008032,0.00069407723],"study_design_candidate":"nonrandomized_trial","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":[0.9421531,0.010751995,0.026090039,0.0013131662,0.003936697,0.00009960432,0.00012113898,0.0001616158,0.000744759,0.000104571154,0.00082765956,0.013695674],"study_design_scores_gemma":[0.74825734,0.178378,0.06268008,0.0004958375,0.0067977435,0.0001466645,0.00017664563,0.0011874643,0.00038616933,0.00032463623,0.0011092197,0.000060261635],"about_ca_topic_score_codex":0.0010034298,"about_ca_topic_score_gemma":0.0014245001,"teacher_disagreement_score":0.0054043727,"about_ca_system_score_codex":0.00052218675,"about_ca_system_score_gemma":0.0010055628,"threshold_uncertainty_score":0.01807946},"labels":[],"label_agreement":null},{"id":"W2908971590","doi":"10.2196/11951","title":"Provider- and Patient-Related Barriers to and Facilitators of Digital Health Technology Adoption for Hypertension Management: Scoping Review","year":2019,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":143,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Disease management; Digital health; Business; Medicine; Health information technology; Knowledge management; Health management system; Health care; Alternative medicine; Computer science; Political science; Pathology","score_opus":0.02387843331757072,"score_gpt":0.37391935983204466,"score_spread":0.35004092651447394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908971590","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024127362,0.9933749,0.0004753805,0.0010327168,0.00024541444,0.00089756085,0.00025214427,0.000010858284,0.0012981563],"genre_scores_gemma":[0.011707425,0.98500663,0.0009771788,0.00052496616,0.00009817765,0.0012935471,0.00019282252,0.000006218139,0.00019301497],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.97976524,0.007443282,0.007164297,0.00103141,0.0038576454,0.00073800236],"domain_scores_gemma":[0.8918516,0.0838175,0.011953986,0.0011901445,0.010502757,0.0006840583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026623921,0.0017962637,0.0053234445,0.019393323,0.001807325,0.0058320425,0.00214545,0.0035289642,0.004137786],"category_scores_gemma":[0.12296873,0.001763108,0.0073999767,0.018676903,0.0014391539,0.004781556,0.003426317,0.002192083,0.0005877309],"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":[0.00014664096,0.000068287896,0.0025131456,0.8558005,0.0036054929,0.00024041398,0.0020457183,0.00020217335,0.00017639206,0.000913155,0.003298352,0.13098963],"study_design_scores_gemma":[0.00004100431,0.000085971806,0.0035930867,0.9664099,0.010691016,0.00021030106,0.0014865444,0.00009341375,0.00015719054,0.0002837964,0.016919032,0.000028707613],"about_ca_topic_score_codex":0.013732496,"about_ca_topic_score_gemma":0.02895801,"teacher_disagreement_score":0.026623921,"about_ca_system_score_codex":0.005827864,"about_ca_system_score_gemma":0.033453673,"threshold_uncertainty_score":0.14080244},"labels":[],"label_agreement":null},{"id":"W2911397186","doi":"10.2196/13048","title":"Design of a Care Pathway for Preventive Blood Pressure Monitoring: Qualitative Study","year":2019,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"eHealth; Blood pressure; Context (archaeology); Medicine; Qualitative research; Health care; Care pathway; Telemedicine; Medical emergency; Nursing; Intensive care medicine; Internal medicine","score_opus":0.08543809127310965,"score_gpt":0.48487455742215757,"score_spread":0.39943646614904793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911397186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9634866,0.0009620839,0.017836923,0.00669527,0.00017257738,0.0031193334,0.00048622218,0.000075815704,0.00716515],"genre_scores_gemma":[0.9808396,0.00090414117,0.011505345,0.0014914068,0.000020705114,0.0021420387,0.0001305623,0.00004850379,0.0029177878],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9777771,0.018271081,0.0005253974,0.00084803696,0.0009564042,0.001621921],"domain_scores_gemma":[0.9733902,0.019386977,0.001706001,0.0004893203,0.0022406427,0.0027867942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022361869,0.00050454197,0.000745912,0.0012459619,0.008746208,0.004435519,0.0020135276,0.00202802,0.003624405],"category_scores_gemma":[0.027423222,0.00082430773,0.0005263662,0.0012877102,0.0052158684,0.004179024,0.004341704,0.0026917167,0.00046549542],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062032304,0.00021652433,0.00311873,0.00048115558,0.000006991244,0.0009775166,0.982131,0.00009849278,0.00080172525,0.002029608,0.0008808773,0.009195303],"study_design_scores_gemma":[0.000025374124,0.00016407853,0.0011205212,0.00045466342,0.000006155031,0.00029758224,0.98523825,0.00025090764,0.00045061417,0.0006370509,0.011333172,0.000021679494],"about_ca_topic_score_codex":0.006842456,"about_ca_topic_score_gemma":0.008358224,"teacher_disagreement_score":0.022361869,"about_ca_system_score_codex":0.0088353455,"about_ca_system_score_gemma":0.012357352,"threshold_uncertainty_score":0.11826229},"labels":[],"label_agreement":null},{"id":"W2914462514","doi":"10.2196/13030","title":"Achieving Rapid Blood Pressure Control With Digital Therapeutics: Retrospective Cohort and Machine Learning Study","year":2019,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Retrospective cohort study; Control (management); Medicine; Cohort; Blood pressure; Computer science; Artificial intelligence; Internal medicine","score_opus":0.01618817886135154,"score_gpt":0.3328059048448794,"score_spread":0.31661772598352783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914462514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972498,0.00015476625,0.0008815098,0.00008679886,0.000024399596,0.00034997024,0.0007937766,0.000011544057,0.0004474237],"genre_scores_gemma":[0.9962703,0.00016702627,0.0010851375,0.00021071134,0.000048948492,0.00044419535,0.0013332751,0.000013411515,0.00042696932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980982,0.000508625,0.00021002324,0.0005039171,0.0004318205,0.0002474657],"domain_scores_gemma":[0.99563,0.000922014,0.00089680165,0.001154801,0.0008131613,0.0005832175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038094441,0.0005043477,0.00060732063,0.0006768926,0.0013907903,0.0010682523,0.00079034595,0.00087232766,0.0018959055],"category_scores_gemma":[0.007863429,0.00070819724,0.0010106408,0.0008029833,0.0006712436,0.0012233119,0.000984754,0.0019850489,0.0007956966],"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":[0.0012368647,0.001875948,0.9904479,0.000052858948,0.00019597758,0.00026407556,0.00067608204,0.00010408708,0.00028840624,0.0001367964,0.0011312929,0.003589847],"study_design_scores_gemma":[0.00040326852,0.0069333604,0.983071,0.00007751969,0.000309777,0.001731887,0.0023622632,0.0016277572,0.00033631697,0.00025670297,0.0028250606,0.00006521577],"about_ca_topic_score_codex":0.004536248,"about_ca_topic_score_gemma":0.004871731,"teacher_disagreement_score":0.004536248,"about_ca_system_score_codex":0.00063821836,"about_ca_system_score_gemma":0.0015317765,"threshold_uncertainty_score":0.02014649},"labels":[],"label_agreement":null},{"id":"W2924863388","doi":"10.2196/12122","title":"Use of Free-Living Step Count Monitoring for Heart Failure Functional Classification: Validation Study","year":2019,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Public Health Ontario; Toronto Rehabilitation Institute; University of Toronto; Ted Rogers Centre for Heart Research; University Health Network","funders":"University of Toronto; Government of Ontario","keywords":"Heart failure; Medicine; Ejection fraction; Generalizability theory; Internal medicine; Sample size determination; Confidence interval; Reproducibility; Population; Cardiology; Mathematics; Statistics","score_opus":0.06568997992618934,"score_gpt":0.30759930160577204,"score_spread":0.24190932167958268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924863388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959266,0.0001481426,0.0016000844,0.000030202145,0.00002912756,0.0005700844,0.000951421,0.000022879278,0.00072142883],"genre_scores_gemma":[0.99362445,0.000076760974,0.0018161916,0.00007973616,0.000030429019,0.0007961842,0.0032259151,0.000023909352,0.00032633633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954977,0.0022549443,0.0004254788,0.000637335,0.00096012687,0.00022442528],"domain_scores_gemma":[0.98494554,0.004880376,0.0026345488,0.002753286,0.0039430945,0.0008431355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011102144,0.0010289939,0.0005865471,0.0008091812,0.0006574525,0.00090731145,0.0015375671,0.0011120712,0.0012371948],"category_scores_gemma":[0.017076273,0.00033370324,0.001153366,0.00055693043,0.0007185247,0.0007927642,0.0009681281,0.00074046437,0.0008251065],"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":[0.0013767466,0.0011659947,0.9872383,0.000062510284,0.000321524,0.000052583946,0.0004045179,0.0002778228,0.0007369647,0.00003978901,0.0004303353,0.007892924],"study_design_scores_gemma":[0.00023806309,0.00301418,0.99235314,0.000043965523,0.00016847168,0.00021228603,0.0002231338,0.0021220397,0.0005321169,0.00004422301,0.0010280142,0.000020417441],"about_ca_topic_score_codex":0.0020508608,"about_ca_topic_score_gemma":0.0027037107,"teacher_disagreement_score":0.011102144,"about_ca_system_score_codex":0.00044142792,"about_ca_system_score_gemma":0.00093952887,"threshold_uncertainty_score":0.05871445},"labels":[],"label_agreement":null},{"id":"W2942485212","doi":"10.2196/13850","title":"Accuracy and Usability of a Novel Algorithm for Detection of Irregular Pulse Using a Smartwatch Among Older Adults: Observational Study","year":2019,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Child Health and Human Development; Office of Naval Research; National Heart, Lung, and Blood Institute; National Institute of General Medical Sciences; American Heart Association; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Samsung; National Institutes of Health; National Science Foundation","keywords":"Smartwatch; Usability; Observational study; Computer science; Atrial fibrillation; Medicine; Wearable computer; Physical medicine and rehabilitation; Algorithm; Human–computer interaction; Internal medicine; Embedded system","score_opus":0.08421620365595733,"score_gpt":0.357081548477817,"score_spread":0.27286534482185965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942485212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991002,0.00011875949,0.00032083754,0.000011554365,0.000005667746,0.000059464037,0.00016512357,0.000008278766,0.00021011662],"genre_scores_gemma":[0.99892396,0.00007928247,0.0005870553,0.000022971257,0.000009292068,0.00004316157,0.00023303836,0.00000458642,0.00009651755],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99812585,0.00050771324,0.00042962146,0.0003310109,0.000509394,0.00009643151],"domain_scores_gemma":[0.9917745,0.0029886235,0.0023498347,0.0006596741,0.001878442,0.00034896343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029888789,0.0004434513,0.00070134946,0.0008410577,0.00032061693,0.000917019,0.00046133687,0.0008479624,0.0007552469],"category_scores_gemma":[0.013657183,0.0002792349,0.0010211038,0.0005542392,0.0002902195,0.00083277473,0.0004432041,0.0004572272,0.00035552436],"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":[0.0005791531,0.00037323192,0.9914466,0.00007724036,0.0001758904,0.000058783004,0.00046117074,0.00008469307,0.00054322876,0.000007627059,0.00010572771,0.006086484],"study_design_scores_gemma":[0.00004797234,0.0027010965,0.9939268,0.000030369356,0.00016376066,0.00041531195,0.00042755593,0.0016294357,0.00037314734,0.000019775518,0.0002471571,0.000017541002],"about_ca_topic_score_codex":0.0012662659,"about_ca_topic_score_gemma":0.0014950645,"teacher_disagreement_score":0.0029888789,"about_ca_system_score_codex":0.00021698345,"about_ca_system_score_gemma":0.00018730707,"threshold_uncertainty_score":0.015806854},"labels":[],"label_agreement":null},{"id":"W2963393153","doi":"10.2196/14332","title":"Assessment of Heart Failure Patients’ Interest in Mobile Health Apps for Self-Care: Survey Study","year":2019,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Heart failure; Medicine; Quality of life (healthcare); Activity tracker; Health care; Family medicine; Physical therapy; Internal medicine; Nursing; Physical activity","score_opus":0.05546472294370065,"score_gpt":0.45450519013823365,"score_spread":0.399040467194533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963393153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984719,0.00007821773,0.00013177753,0.000068973066,0.000004970216,0.00014408563,0.0006476613,0.000005680416,0.00044672863],"genre_scores_gemma":[0.9983041,0.00010848077,0.00030907246,0.00018822255,0.000011282986,0.00023069099,0.0006037021,0.000003318973,0.00024096448],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985663,0.0005320419,0.00026295692,0.00016325484,0.00029363544,0.00018175626],"domain_scores_gemma":[0.995014,0.0010179097,0.0018165301,0.00023112226,0.0009824162,0.00093800045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026712345,0.0002731372,0.00036497242,0.0011516227,0.0005163803,0.0007628898,0.00036829372,0.0007226463,0.0014949156],"category_scores_gemma":[0.0049814377,0.0004041529,0.0008661209,0.0010583057,0.00028630462,0.0009953129,0.0008266962,0.0009999397,0.0007104164],"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":[0.000079721525,0.00042261725,0.99632734,0.00003745749,0.00007669281,0.000033706066,0.0005357145,0.00002502974,0.00012550307,0.000010125822,0.00027713337,0.0020489846],"study_design_scores_gemma":[0.000033812234,0.0007761077,0.99682885,0.000018187113,0.000044667453,0.00014100812,0.0012518537,0.00030799946,0.00006930837,0.000007940073,0.0005090113,0.000011174491],"about_ca_topic_score_codex":0.0030835029,"about_ca_topic_score_gemma":0.004562673,"teacher_disagreement_score":0.0030835029,"about_ca_system_score_codex":0.00048587084,"about_ca_system_score_gemma":0.00054947234,"threshold_uncertainty_score":0.014127016},"labels":[],"label_agreement":null},{"id":"W2966940775","doi":"","title":"TELEMONITORING BLOOD PRESSURE IN KIDNEY DISEASE: A FEASIBILITY STUDY - OXFORD HEART AND RENAL PROTECTION STUDY-1 (OX HARP-1)","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"HARP; Blood pressure; Medicine; Kidney; Kidney disease; Internal medicine; Cardiology; Intensive care medicine; History","score_opus":0.024662440173868375,"score_gpt":0.30687959583909563,"score_spread":0.28221715566522726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966940775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99620616,0.00034142076,0.00015540652,0.00023372016,0.00003818285,0.00031634793,0.0020138323,0.000007693807,0.00068714254],"genre_scores_gemma":[0.9927521,0.0003383189,0.000833853,0.00023725291,0.000116048075,0.0007028462,0.0044022882,0.000011753649,0.0006054844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970318,0.0015824529,0.00023348816,0.0005007174,0.0003408526,0.00031065545],"domain_scores_gemma":[0.9949768,0.0010778437,0.0018268196,0.00049244205,0.00040985955,0.0012161573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045671957,0.0012800224,0.0012072703,0.0005092395,0.00083981914,0.0016933221,0.0010210132,0.0012703049,0.002360148],"category_scores_gemma":[0.0066776937,0.0009094064,0.0014820124,0.0014806456,0.00057321024,0.0016529968,0.002083624,0.002290963,0.0005407425],"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":[0.011843044,0.002293056,0.97653383,0.00021488135,0.0008564656,0.00013497514,0.00035343377,0.000110677705,0.00054190384,0.00008640098,0.0012262742,0.0058051483],"study_design_scores_gemma":[0.0024149697,0.0027825704,0.99329937,0.000037334572,0.0003863325,0.00010989389,0.0002349466,0.00012995453,0.00005529866,0.00004976402,0.00047938037,0.000020224448],"about_ca_topic_score_codex":0.005195063,"about_ca_topic_score_gemma":0.009384505,"teacher_disagreement_score":0.005195063,"about_ca_system_score_codex":0.00067024195,"about_ca_system_score_gemma":0.0009240958,"threshold_uncertainty_score":0.024153888},"labels":[],"label_agreement":null},{"id":"W2975091319","doi":"10.2196/12141","title":"The Added Value of In-Hospital Tracking of the Efficacy of Decongestion Therapy and Prognostic Value of a Wearable Thoracic Impedance Sensor in Acutely Decompensated Heart Failure With Volume Overload: Prospective Cohort Study","year":2019,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiteit Hasselt; Limburg Sterk Merk","keywords":"Medicine; Volume overload; Prospective cohort study; Bioelectrical impedance analysis; Intravascular volume status; Heart failure; Internal medicine; Cohort; Cardiology; Intensive care medicine; Body mass index; Hemodynamics","score_opus":0.009597727594814458,"score_gpt":0.28054626325290566,"score_spread":0.2709485356580912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975091319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992594,0.00018323833,0.000117412514,0.000019822095,0.000017293045,0.000016444648,0.00023822076,0.0000030137282,0.00014521676],"genre_scores_gemma":[0.99935836,0.000080209145,0.00009675439,0.000017752624,0.000023488165,0.000017279657,0.00030616397,0.0000026351456,0.00009750097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879044,0.00039245025,0.00011076116,0.00036967616,0.00015037981,0.00018631868],"domain_scores_gemma":[0.9967939,0.0006527938,0.00085730536,0.000721484,0.0003881115,0.00058640214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019530691,0.0007585489,0.00078522804,0.00082134554,0.0005658708,0.0011891196,0.000675092,0.0012159437,0.0013358626],"category_scores_gemma":[0.0043209484,0.0004518888,0.0015345936,0.00095010607,0.00040531985,0.00081375113,0.0007681905,0.0010822028,0.00031783708],"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":[0.0021173132,0.0001923031,0.9956975,0.000014703899,0.00035676712,0.000091484544,0.00006916385,0.00005683916,0.0002256267,0.000009359023,0.000055549066,0.0011133658],"study_design_scores_gemma":[0.00007796741,0.0013241869,0.9971739,0.00000811061,0.0002985842,0.00018883137,0.00013628697,0.000525287,0.000102914135,0.00002462695,0.00012355197,0.000015827296],"about_ca_topic_score_codex":0.0027044024,"about_ca_topic_score_gemma":0.0022829126,"teacher_disagreement_score":0.0027044024,"about_ca_system_score_codex":0.00037203444,"about_ca_system_score_gemma":0.00043171918,"threshold_uncertainty_score":0.0103289485},"labels":[],"label_agreement":null},{"id":"W2986829474","doi":"10.2196/15320","title":"Characteristics Associated With Facebook Use and Interest in Digital Disease Support Among Older Adults With Atrial Fibrillation: Cross-Sectional Analysis of Baseline Data From the Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF) Cohort","year":2019,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute","keywords":"Atrial fibrillation; Medicine; Odds ratio; Logistic regression; Internal medicine; Stroke (engine); Cross-sectional study; Physical therapy","score_opus":0.059826370245537906,"score_gpt":0.3640317877574628,"score_spread":0.3042054175119249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986829474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99789846,0.00021987695,0.00006151133,0.000039534676,0.000006229487,0.000031278676,0.0014722854,0.000002689994,0.00026808027],"genre_scores_gemma":[0.9981365,0.00013693442,0.00011170391,0.00004675432,0.000009676137,0.00006243009,0.0013650846,0.0000017236958,0.00012917409],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910885,0.0002132843,0.00021014329,0.00019237892,0.00017073764,0.000104555416],"domain_scores_gemma":[0.9962607,0.0006280128,0.002049649,0.000263043,0.00037198098,0.0004265816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013712524,0.00023537492,0.0004942114,0.001089263,0.0004597082,0.00072559284,0.00030612922,0.00066877913,0.0010866481],"category_scores_gemma":[0.003934884,0.00036184746,0.00092176424,0.0012962933,0.00021358329,0.0007381003,0.0006915191,0.00067648117,0.00025798968],"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":[0.00005173485,0.00003610184,0.99931955,0.000013691699,0.000065227134,0.0000126238665,0.000069745634,0.000011000939,0.00004022319,0.000004410524,0.00007320295,0.00030267244],"study_design_scores_gemma":[0.0000070156566,0.00007387541,0.99953246,0.0000086852415,0.0000317983,0.000049863094,0.00014728887,0.000055100954,0.000011836026,0.0000055529595,0.00007412028,0.000002493856],"about_ca_topic_score_codex":0.0050289263,"about_ca_topic_score_gemma":0.0086060595,"teacher_disagreement_score":0.0050289263,"about_ca_system_score_codex":0.00025036524,"about_ca_system_score_gemma":0.0003042824,"threshold_uncertainty_score":0.009999335},"labels":[],"label_agreement":null},{"id":"W2987979179","doi":"10.2196/14963","title":"Using Mobile Health Tools to Assess Physical Activity Guideline Adherence and Smoking Urges: Secondary Analysis of mActive-Smoke","year":2019,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Physical Activity and Health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Johns Hopkins University; Aetna Foundation","keywords":"Guideline; Smoke; Physical activity; Environmental health; Medicine; Psychology; Physical therapy; Engineering; Waste management; Pathology","score_opus":0.16472074456769414,"score_gpt":0.44949335184798195,"score_spread":0.2847726072802878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987979179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961139,0.00012237437,0.00029880516,0.00002275909,0.000009089005,0.00064191624,0.0022275788,0.000010756919,0.0005526165],"genre_scores_gemma":[0.99356127,0.00007309185,0.0005647511,0.000111752335,0.000037779795,0.0015953275,0.0034086162,0.000010806722,0.0006365969],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984693,0.00049836305,0.00019758473,0.00028636985,0.00032026638,0.00022802781],"domain_scores_gemma":[0.9956846,0.0009779214,0.0014978366,0.00057526433,0.0008367653,0.00042762782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002503312,0.00061236514,0.00081870053,0.0015635302,0.00073301484,0.0007478031,0.00079209293,0.0008681828,0.0028220895],"category_scores_gemma":[0.00511838,0.0005570366,0.0020954919,0.0012099451,0.0003807044,0.00053939095,0.0012455306,0.0008732524,0.00069284136],"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":[0.0018963161,0.0008921406,0.9920596,0.00012902691,0.0004941109,0.00007050397,0.00032410675,0.000041862466,0.0005166301,0.000019873494,0.0003940589,0.0031617475],"study_design_scores_gemma":[0.00010763657,0.0009562929,0.9981299,0.000013515923,0.00013003683,0.00004927463,0.00016503967,0.0001454592,0.00008304075,0.0000118712005,0.00020031256,0.000007710885],"about_ca_topic_score_codex":0.0074545513,"about_ca_topic_score_gemma":0.009856472,"teacher_disagreement_score":0.0074545513,"about_ca_system_score_codex":0.00043347277,"about_ca_system_score_gemma":0.00056891906,"threshold_uncertainty_score":0.014822304},"labels":[],"label_agreement":null},{"id":"W2994053604","doi":"10.2196/14857","title":"Use of a Smart Watch for Early Detection of Paroxysmal Atrial Fibrillation: Validation Study","year":2019,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Photoplethysmogram; Atrial fibrillation; Medicine; Heart rate; Cardiology; Electrocardiography; Internal medicine; Heart Rhythm; Heart rate variability; Pulse (music); Wearable computer; Heart rate monitor; Computer science; Wireless; Blood pressure; Telecommunications; Embedded system","score_opus":0.026480569798079993,"score_gpt":0.24862672284482965,"score_spread":0.22214615304674964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994053604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980976,0.00010465079,0.001193867,0.00001264681,0.0000075316166,0.00019181616,0.000088568566,0.000010210773,0.00029316332],"genre_scores_gemma":[0.99681854,0.000118725475,0.0022533198,0.000053831067,0.000012509253,0.00019179995,0.00031763493,0.0000060192997,0.00022750474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983505,0.0007603829,0.00019058729,0.0002462465,0.00034772584,0.000104563376],"domain_scores_gemma":[0.9929449,0.003298071,0.0010619264,0.0007482356,0.0016330793,0.00031376418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004821046,0.0006050368,0.000348384,0.00061786984,0.00025804355,0.00043752103,0.00046969234,0.00062288676,0.00063964515],"category_scores_gemma":[0.009845847,0.00022377048,0.0005277507,0.00024727648,0.0004454625,0.0006458745,0.00039758833,0.00036187802,0.00035112197],"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":[0.0029200204,0.0025619029,0.9546567,0.0001632179,0.0002033982,0.0001818854,0.0010506096,0.00028620978,0.008256984,0.000064020154,0.00013883786,0.029516106],"study_design_scores_gemma":[0.000469102,0.054178186,0.92264193,0.00008618489,0.0005811123,0.001959779,0.0007566859,0.0057541453,0.011378994,0.00010378785,0.0020490768,0.00004095565],"about_ca_topic_score_codex":0.0006445794,"about_ca_topic_score_gemma":0.0006157186,"teacher_disagreement_score":0.004821046,"about_ca_system_score_codex":0.00015560562,"about_ca_system_score_gemma":0.00035839496,"threshold_uncertainty_score":0.025496423},"labels":[],"label_agreement":null},{"id":"W3004591359","doi":"10.2196/16354","title":"Assisting Home-Based Resistance Training for Normotensive and Prehypertensive Individuals Using Ambient Lighting and Sonification Feedback: Sensor-Based System Evaluation","year":2020,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perceived exertion; Physical therapy; Rating of perceived exertion; Psychology; Sonification; Competence (human resources); Concentric; Physical medicine and rehabilitation; Medicine; Blood pressure; Heart rate; Social psychology; Mathematics; Statistics; Internal medicine","score_opus":0.1535468671728287,"score_gpt":0.3231823681869903,"score_spread":0.1696355010141616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004591359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98954177,0.00014064959,0.009342993,0.000024615692,0.000014683526,0.0003112423,0.000077515346,0.00014141288,0.00040516062],"genre_scores_gemma":[0.9841636,0.00014127624,0.0143045,0.000034264183,0.000011869889,0.00039900397,0.00019707657,0.0000111376985,0.00073721714],"study_design_codex":"bench_or_experimental","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9996259,0.00017437623,0.000031265605,0.000051091927,0.00008423137,0.00003316926],"domain_scores_gemma":[0.9993445,0.00030544086,0.00004284809,0.000022546305,0.0002158594,0.00006874756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011761189,0.00041128785,0.00039769392,0.00020150038,0.00014379443,0.00026840094,0.00036401497,0.00037330738,0.0023302464],"category_scores_gemma":[0.0015664077,0.00012447852,0.00025034376,0.00008663751,0.00015901559,0.0002195785,0.0002951014,0.00016013776,0.00014008832],"study_design_candidate":"nonrandomized_trial","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":[0.031225912,0.013431929,0.047420226,0.0024159856,0.000707164,0.0005851449,0.0015918171,0.029086595,0.5062407,0.0003211166,0.0020313074,0.3649421],"study_design_scores_gemma":[0.004720165,0.16592352,0.3267847,0.00013589356,0.0013274921,0.0009112848,0.0015392641,0.29613164,0.19798346,0.00019364053,0.004174375,0.00017457166],"about_ca_topic_score_codex":0.0015683082,"about_ca_topic_score_gemma":0.0018574463,"teacher_disagreement_score":0.0023302464,"about_ca_system_score_codex":0.00026393245,"about_ca_system_score_gemma":0.00024026848,"threshold_uncertainty_score":0.007795453},"labels":[],"label_agreement":null},{"id":"W3011311220","doi":"10.2196/16975","title":"Minimal Patient Clinical Variables to Accurately Predict Stress Echocardiography Outcome: Validation Study Using Machine Learning Techniques","year":2020,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council","keywords":"Random forest; Coronary artery disease; Feature selection; Medicine; Stress Echocardiography; Machine learning; CAD; Chest pain; Outcome (game theory); Artificial intelligence; Anthropometry; Support vector machine; Internal medicine; Computer science","score_opus":0.08877411517667101,"score_gpt":0.37064112331715116,"score_spread":0.28186700814048016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011311220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907368,0.0001565703,0.008202474,0.00004447681,0.000025869025,0.00022928535,0.00028470112,0.000059248905,0.00026066534],"genre_scores_gemma":[0.99538124,0.00003454179,0.0036965136,0.00001488463,0.000010510817,0.00011569593,0.0006707506,0.0000048351717,0.00007104209],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99773264,0.0013258365,0.00019330245,0.00030827016,0.00027916554,0.00016079006],"domain_scores_gemma":[0.98604345,0.01029978,0.0006546723,0.0011569398,0.0014391629,0.00040598697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009422843,0.00091645645,0.0007416451,0.00087950483,0.0002711872,0.00042851656,0.00069499365,0.0006856903,0.0007697784],"category_scores_gemma":[0.014386765,0.00020564062,0.0007652358,0.00041941696,0.00069563475,0.00037708695,0.00062375795,0.0008011612,0.00031622278],"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":[0.004780487,0.0052111093,0.81603444,0.00018711803,0.00076203723,0.00036461095,0.00057570706,0.042931363,0.0053832307,0.00027429863,0.0013556182,0.12214001],"study_design_scores_gemma":[0.0006564325,0.011787824,0.59011304,0.00007417496,0.00037523475,0.0007741638,0.0003141036,0.38757592,0.00644277,0.0005956568,0.0012235303,0.00006714589],"about_ca_topic_score_codex":0.0013072615,"about_ca_topic_score_gemma":0.0007721153,"teacher_disagreement_score":0.009422843,"about_ca_system_score_codex":0.0004207988,"about_ca_system_score_gemma":0.0009182186,"threshold_uncertainty_score":0.049833357},"labels":[],"label_agreement":null},{"id":"W3042679316","doi":"10.2196/17162","title":"The Atrial Fibrillation Health Literacy Information Technology Trial: Pilot Trial of a Mobile Health App for Atrial Fibrillation","year":2020,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; Doris Duke Charitable Foundation","keywords":"Medicine; Randomized controlled trial; Atrial fibrillation; Physical therapy; Quality of life (healthcare); Ambulatory; Intervention (counseling); Clinical trial; Internal medicine; Psychiatry; Nursing","score_opus":0.05034637958243548,"score_gpt":0.373132524094988,"score_spread":0.3227861445125525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042679316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98882616,0.0014325647,0.00031161276,0.0008770582,0.00032125373,0.005698164,0.00050052826,0.00008778351,0.0019448812],"genre_scores_gemma":[0.98048156,0.0010651733,0.0014220002,0.0007493865,0.00046735705,0.013810504,0.0005264021,0.000008818292,0.0014687723],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9988286,0.00065811304,0.0001108754,0.0001671109,0.00007954033,0.00015580907],"domain_scores_gemma":[0.99847203,0.0005608405,0.00027655487,0.000117697215,0.000115113275,0.00045775998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018869118,0.0011111287,0.0018802689,0.00035371433,0.00054596126,0.0010715205,0.000719426,0.0020257034,0.0067789876],"category_scores_gemma":[0.0036244844,0.0004739729,0.0012952319,0.00032477133,0.00081397645,0.0010986562,0.0006466774,0.002341765,0.00088035036],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.91628706,0.04449892,0.0029513326,0.0011261792,0.0009635959,0.000073685216,0.00021897412,0.00014813407,0.0013847697,0.00012245474,0.0011741006,0.03105068],"study_design_scores_gemma":[0.8263991,0.16239662,0.00890944,0.00008975969,0.00082117884,0.000040027644,0.00007662624,0.00027963088,0.000264651,0.00012366289,0.0005863187,0.000012995173],"about_ca_topic_score_codex":0.0010266154,"about_ca_topic_score_gemma":0.0013148692,"teacher_disagreement_score":0.0067789876,"about_ca_system_score_codex":0.00041622695,"about_ca_system_score_gemma":0.0008832289,"threshold_uncertainty_score":0.022677958},"labels":[],"label_agreement":null},{"id":"W3043625108","doi":"10.2196/18101","title":"“I Like the Idea of It…But Probably Wouldn’t Use It” - Health Care Provider Perspectives on Heart Failure mHealth: Qualitative Study","year":2020,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Aging","keywords":"mHealth; Psychological intervention; Psychosocial; Health care; Medicine; Nursing; Qualitative research; Telemedicine; Psychology; Psychiatry","score_opus":0.06640842752123884,"score_gpt":0.3865992567176507,"score_spread":0.3201908291964119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043625108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94519985,0.0038279146,0.01060241,0.025097664,0.000447093,0.0010682712,0.00079925935,0.000048678474,0.0129088545],"genre_scores_gemma":[0.9821738,0.002423326,0.0029140224,0.007073805,0.00006882935,0.0011464161,0.00015158793,0.000054566917,0.003993656],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.97983414,0.01602187,0.00048775203,0.0007998625,0.0010533333,0.0018029907],"domain_scores_gemma":[0.9577374,0.033459146,0.001961526,0.0005612258,0.0037398431,0.0025409453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024223417,0.00057648146,0.0008629124,0.0016962029,0.011361114,0.0043971706,0.0016146072,0.0023608003,0.0044696615],"category_scores_gemma":[0.035651885,0.0008226607,0.0005989296,0.0016667338,0.009132831,0.0059037264,0.005355668,0.0048383563,0.0005655791],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023511822,0.000029634326,0.001946427,0.00021165423,0.0000045119928,0.00043082036,0.992261,0.000020279207,0.00035463064,0.0013307441,0.0009075886,0.0024792175],"study_design_scores_gemma":[0.000004129345,0.000019604719,0.0005244392,0.00028548198,0.0000033552037,0.000207021,0.99242955,0.00005490388,0.00013175003,0.00027357566,0.0060576038,0.000008655639],"about_ca_topic_score_codex":0.01642411,"about_ca_topic_score_gemma":0.019396592,"teacher_disagreement_score":0.024223417,"about_ca_system_score_codex":0.008271934,"about_ca_system_score_gemma":0.009414968,"threshold_uncertainty_score":0.12810719},"labels":[],"label_agreement":null},{"id":"W3046412187","doi":"10.2196/21962","title":"Impact of Remote Titration Combined With Telemonitoring on the Optimization of Guideline-Directed Medical Therapy for Patients With Heart Failure: Internal Pilot of a Randomized Controlled Trial","year":2020,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; Ted Rogers Centre for Heart Research; University Health Network; Public Health Ontario; University of Toronto","funders":"","keywords":"Medicine; Randomized controlled trial; Guideline; Clinical trial; Physical therapy; Pilot trial; Surgery; Internal medicine","score_opus":0.01584990874721601,"score_gpt":0.29454828497145064,"score_spread":0.2786983762242346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046412187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9816347,0.001381846,0.0011173633,0.00060802075,0.0007974222,0.012538742,0.00042438164,0.00016760163,0.0013300382],"genre_scores_gemma":[0.97490394,0.0008445864,0.004673945,0.0006234034,0.00091723015,0.01684297,0.00033674765,0.000026916503,0.0008302502],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99283385,0.0050755795,0.0005091404,0.0007469781,0.00036160034,0.0004728371],"domain_scores_gemma":[0.98844224,0.006376253,0.0023292967,0.001108976,0.0005529233,0.0011903181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008940772,0.0024665068,0.004306111,0.0007632101,0.0007253115,0.0017680714,0.0015297054,0.0029977814,0.005869015],"category_scores_gemma":[0.0129334815,0.0011637133,0.0039962255,0.0007747901,0.0024801039,0.0018345132,0.0012584494,0.003629768,0.0007205877],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.97134227,0.01946445,0.00043778645,0.00042942312,0.00097335194,0.000019728272,0.00007089621,0.00022529782,0.00043371104,0.000034596404,0.00016453065,0.0064038984],"study_design_scores_gemma":[0.8873382,0.11055983,0.00091312604,0.000026398477,0.0005479525,0.0000070010396,0.000017938666,0.00029006894,0.00015675665,0.000038520964,0.00009572368,0.00000851701],"about_ca_topic_score_codex":0.001101376,"about_ca_topic_score_gemma":0.0010667737,"teacher_disagreement_score":0.008940772,"about_ca_system_score_codex":0.0011366735,"about_ca_system_score_gemma":0.0016615749,"threshold_uncertainty_score":0.047283888},"labels":[],"label_agreement":null},{"id":"W3080866408","doi":"10.2196/20426","title":"Google Trends Insights Into Reduced Acute Coronary Syndrome Admissions During the COVID-19 Pandemic: Infodemiology Study","year":2020,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Chest pain; Medicine; Myocardial infarction; Acute coronary syndrome; Pandemic; Emergency department; Coronavirus disease 2019 (COVID-19); Internal medicine; Cardiology; Emergency medicine; Disease; Infectious disease (medical specialty)","score_opus":0.05338364781794635,"score_gpt":0.3556356116362014,"score_spread":0.30225196381825503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080866408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77139646,0.012853228,0.00016450397,0.0033856237,0.00014065417,0.00050034723,0.1993468,0.00021976397,0.011992644],"genre_scores_gemma":[0.9197901,0.006583813,0.00064833194,0.0014063856,0.00027304687,0.00049637427,0.0684939,0.000080947604,0.0022271636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882156,0.00027440817,0.00023875489,0.00023326505,0.00026872338,0.00016324705],"domain_scores_gemma":[0.99325633,0.0019962033,0.0029893091,0.00038017888,0.00081777194,0.00056018477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011992177,0.00037020605,0.0008605554,0.004832654,0.000461601,0.0018313366,0.00067995826,0.000687156,0.004378548],"category_scores_gemma":[0.015252696,0.00022639355,0.0024346912,0.009607274,0.00031238998,0.0030194218,0.0012155824,0.0007795777,0.0011776076],"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":[0.0033994538,0.0005474493,0.8634459,0.011641515,0.002776818,0.0004952726,0.0022734005,0.00039871028,0.00025847615,0.0012373043,0.04838853,0.06513714],"study_design_scores_gemma":[0.0002771684,0.0003578032,0.98133975,0.00081139844,0.0012621329,0.00043070203,0.0011113858,0.0006234916,0.00012986187,0.00019570504,0.013416098,0.000044548502],"about_ca_topic_score_codex":0.043105666,"about_ca_topic_score_gemma":0.041930795,"teacher_disagreement_score":0.043105666,"about_ca_system_score_codex":0.0011259195,"about_ca_system_score_gemma":0.0016481393,"threshold_uncertainty_score":0.08570951},"labels":[],"label_agreement":null},{"id":"W3094419892","doi":"10.2196/15885","title":"Using an Electronic App to Promote Home-Based Self-Care in Older Patients With Heart Failure: Qualitative Study on Patient and Informal Caregiver Challenges","year":2020,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Impact; Canada Health Infoway; McMaster University; Public Health Ontario; University of Toronto; University Health Network","funders":"","keywords":"mHealth; Medicine; Usability; Heart failure; Health literacy; Health care; Personalization; eHealth; Gerontology; Family medicine; Psychology; Nursing; Psychological intervention; Internal medicine; World Wide Web","score_opus":0.02123619234845086,"score_gpt":0.29614997216822303,"score_spread":0.27491377981977216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094419892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99702495,0.00043551615,0.00035027644,0.0008561827,0.000030918625,0.00014874975,0.000062893436,0.0000043975815,0.0010862644],"genre_scores_gemma":[0.99673444,0.0006149184,0.0004970329,0.0011498262,0.000015463087,0.00019781559,0.00004910135,0.000008234013,0.00073327776],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9955454,0.0031820175,0.00019120364,0.00021727831,0.00030160727,0.0005625533],"domain_scores_gemma":[0.989224,0.0070516584,0.0010441369,0.00022613905,0.0010603793,0.001393716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0077716396,0.00047418528,0.00066763064,0.0009362012,0.005289311,0.0024129006,0.0011010446,0.0009860679,0.0020525595],"category_scores_gemma":[0.013653881,0.0004279693,0.00045455917,0.00068819406,0.003092256,0.0025416743,0.004029195,0.0018853068,0.00018862687],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004623364,0.0002069686,0.01994496,0.00025437382,0.000012633994,0.000708413,0.97111994,0.00001572155,0.0003783061,0.00022834388,0.00069346133,0.0063906466],"study_design_scores_gemma":[0.000008369694,0.00011149039,0.005982963,0.00018727087,0.000009533619,0.00019760552,0.9903178,0.0000644707,0.00009016179,0.000067494904,0.0029507326,0.000012153781],"about_ca_topic_score_codex":0.010541523,"about_ca_topic_score_gemma":0.022307042,"teacher_disagreement_score":0.010541523,"about_ca_system_score_codex":0.0030296866,"about_ca_system_score_gemma":0.0039899256,"threshold_uncertainty_score":0.04110086},"labels":[],"label_agreement":null},{"id":"W3094542112","doi":"10.2196/20633","title":"A Novel Virtual Reality Medical Image Display System for Group Discussions of Congenital Heart Disease: Development and Usability Testing","year":2020,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Children's National Hospital","keywords":"Usability; Virtual reality; Visualization; Software; Computer science; Heart disease; Medical physics; Medical imaging; Medical diagnosis; Disease; Human–computer interaction; Medicine; Multimedia; Pathology; Artificial intelligence","score_opus":0.02153837211070402,"score_gpt":0.26106773437029346,"score_spread":0.23952936225958943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094542112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9652034,0.00023916639,0.030902533,0.00007752594,0.000050221766,0.0015308434,0.0002594072,0.00088546565,0.0008514555],"genre_scores_gemma":[0.8573026,0.00045392168,0.13732606,0.00012113862,0.000052053292,0.002527539,0.00062240486,0.00019726185,0.0013970342],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981166,0.0010506746,0.00018052915,0.00023858229,0.00030341724,0.00011028961],"domain_scores_gemma":[0.9899592,0.0077306116,0.00029309173,0.00052283844,0.0010791846,0.0004150561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004829291,0.00087708875,0.0006474686,0.0010023233,0.0002463094,0.0007329897,0.0010107779,0.0006509031,0.002852145],"category_scores_gemma":[0.013257359,0.0003634388,0.00071408757,0.00031560627,0.00037382558,0.0009037937,0.001225567,0.0004137604,0.00035906935],"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":[0.008992343,0.009628735,0.055695176,0.0050451807,0.0006790628,0.0018805962,0.021772379,0.0071285265,0.18688166,0.0012174131,0.00482803,0.6962509],"study_design_scores_gemma":[0.0053518084,0.12390535,0.506877,0.001484225,0.003001785,0.010258736,0.015284528,0.11909071,0.16496491,0.0015047406,0.047083244,0.0011929604],"about_ca_topic_score_codex":0.0006478121,"about_ca_topic_score_gemma":0.00052681443,"teacher_disagreement_score":0.004829291,"about_ca_system_score_codex":0.0002580994,"about_ca_system_score_gemma":0.0003939654,"threshold_uncertainty_score":0.025539994},"labels":[],"label_agreement":null},{"id":"W3105707210","doi":"10.2196/18840","title":"Development and Validation of an Automated Algorithm to Detect Atrial Fibrillation Within Stored Intensive Care Unit Continuous Electrocardiographic Data: Observational Study","year":2020,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; Bristol-Myers Squibb; Samsung; National Science Foundation; National Institutes of Health; Pfizer","keywords":"Medicine; Atrial fibrillation; Intensive care unit; Algorithm; Intensive care; Sepsis; Electrocardiography; Premature atrial contraction; Internal medicine; Cardiology; Intensive care medicine; Computer science","score_opus":0.14097183811475153,"score_gpt":0.3727873498600803,"score_spread":0.23181551174532875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3105707210","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913497,0.000086101274,0.00742632,0.00003556657,0.000013125039,0.00047251582,0.00031571524,0.000049372462,0.0002515225],"genre_scores_gemma":[0.9848192,0.000055391683,0.0134069305,0.00008906878,0.00002072396,0.00037572705,0.0011376947,0.000024953039,0.00007034063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9871256,0.006222428,0.001169018,0.0022716208,0.0027872429,0.0004242028],"domain_scores_gemma":[0.9287249,0.035860464,0.007137825,0.010116963,0.016726017,0.0014338719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028166808,0.0007565586,0.0008392964,0.0011029331,0.0006216481,0.0018062631,0.0018506144,0.0014464029,0.00043867907],"category_scores_gemma":[0.068475574,0.00054636603,0.0010509399,0.0007722044,0.0010017563,0.0011553499,0.0011349018,0.0010933086,0.00035402132],"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":[0.0013015944,0.0018403109,0.9687373,0.000081184146,0.00040064298,0.00015643417,0.00065571134,0.0026229254,0.0015597608,0.00010620761,0.0004956428,0.022042306],"study_design_scores_gemma":[0.0008830867,0.008255231,0.8796881,0.000120177174,0.00058846874,0.001130193,0.0006347192,0.10156057,0.005337056,0.00029213235,0.0014232696,0.00008701841],"about_ca_topic_score_codex":0.0037993237,"about_ca_topic_score_gemma":0.0024641226,"teacher_disagreement_score":0.028166808,"about_ca_system_score_codex":0.0011105156,"about_ca_system_score_gemma":0.0019578487,"threshold_uncertainty_score":0.14896214},"labels":[],"label_agreement":null},{"id":"W3109162145","doi":"10.2196/19065","title":"Interdisciplinary Mobile Health Model to Improve Clinical Care After Heart Transplantation: Implementation Strategy Study","year":2020,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"mHealth; Interoperability; Polypharmacy; Medicine; Multidisciplinary approach; Heart transplantation; Transplantation; Stakeholder; Health care; Focus group; Process management; Medical emergency; Nursing; Computer science; Psychological intervention; Intensive care medicine; Business; World Wide Web; Internal medicine","score_opus":0.07531524894811188,"score_gpt":0.49571571938611303,"score_spread":0.42040047043800116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109162145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94168687,0.0007091747,0.01194186,0.008833632,0.00013477016,0.019682683,0.00047172338,0.00013287511,0.01640637],"genre_scores_gemma":[0.9406783,0.00087372796,0.034612577,0.0027613405,0.00005942913,0.018559808,0.00032377115,0.000021396792,0.0021096428],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.98563355,0.010296083,0.0007069682,0.0005673389,0.00087598903,0.0019201066],"domain_scores_gemma":[0.9914001,0.0033027115,0.0008159798,0.00050593034,0.0012860203,0.0026893294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01782292,0.0007137372,0.00039152597,0.0019624252,0.0018020022,0.0030865371,0.0015811109,0.0022490036,0.005918599],"category_scores_gemma":[0.014589103,0.00045304617,0.0010606075,0.0017385886,0.0008385813,0.0028894353,0.006599462,0.0014142104,0.00065195415],"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":[0.0011715628,0.05362762,0.13793615,0.0042822263,0.0005635449,0.0011136847,0.042657156,0.0040541776,0.0033608486,0.02618928,0.007504415,0.7175393],"study_design_scores_gemma":[0.015166594,0.09648426,0.45088693,0.008138813,0.0018852219,0.0017693917,0.24517496,0.034447215,0.010091167,0.01044564,0.1251157,0.00039404858],"about_ca_topic_score_codex":0.0038910783,"about_ca_topic_score_gemma":0.0069681825,"teacher_disagreement_score":0.01782292,"about_ca_system_score_codex":0.00695779,"about_ca_system_score_gemma":0.025096962,"threshold_uncertainty_score":0.09425777},"labels":[],"label_agreement":null},{"id":"W3113301773","doi":"10.2196/18050","title":"Heart Rate Measurements in Patients with Obstructive Sleep Apnea and Atrial Fibrillation: Prospective Pilot Study Assessing Apple Watch’s Agreement With Telemetry Data","year":2020,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Telemetry; Medicine; Atrial fibrillation; Heart rate; Obstructive sleep apnea; Cardiology; Concordance; Bland–Altman plot; Heart rate variability; Internal medicine; Limits of agreement; Blood pressure; Nuclear medicine","score_opus":0.0657980814197658,"score_gpt":0.32175267407766645,"score_spread":0.25595459265790066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113301773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99934894,0.000049887894,0.00031569385,0.0000052263645,0.000004488335,0.000014737245,0.000045080058,0.0000040495092,0.00021191812],"genre_scores_gemma":[0.9994363,0.000022852471,0.00036001665,0.000013707371,0.000008214275,0.00001514066,0.00007568951,0.00000204828,0.000066041626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982298,0.000695226,0.00019174811,0.00037622222,0.0004104389,0.000096647425],"domain_scores_gemma":[0.993982,0.0029688955,0.0014567212,0.00050819915,0.0007222598,0.00036191737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021774666,0.00025855802,0.0004000983,0.00049935677,0.00022970547,0.00047959795,0.0002539728,0.00047228302,0.00079274114],"category_scores_gemma":[0.00678078,0.0002420629,0.0003341091,0.00034415806,0.00025941932,0.00051141874,0.00041596082,0.00040154686,0.00027439214],"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":[0.00048193778,0.000133976,0.9944601,0.000014175857,0.00005334837,0.00009072241,0.00041840962,0.00005565597,0.0011950535,0.000011748389,0.000035560355,0.0030493208],"study_design_scores_gemma":[0.000030728315,0.001995144,0.9953328,0.000005693211,0.00004802504,0.00074742694,0.0002953255,0.00080351485,0.0005666066,0.000016640419,0.0001492125,0.000008796081],"about_ca_topic_score_codex":0.000510445,"about_ca_topic_score_gemma":0.0005707597,"teacher_disagreement_score":0.0021774666,"about_ca_system_score_codex":0.00012029719,"about_ca_system_score_gemma":0.00013602726,"threshold_uncertainty_score":0.011515677},"labels":[],"label_agreement":null},{"id":"W3115014976","doi":"10.2196/25074","title":"Patient Perspectives With Telehealth Visits in Cardiology During COVID-19: Online Patient Survey Study","year":2020,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Telehealth; Telemedicine; Specialty; Medicine; Coronavirus disease 2019 (COVID-19); Context (archaeology); Patient satisfaction; Medical emergency; Health care; Family medicine; Nursing; Internal medicine; Disease","score_opus":0.04959938307336929,"score_gpt":0.37222504877759743,"score_spread":0.3226256657042281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115014976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981268,0.000085194864,0.00006760655,0.0002290483,0.0000050208846,0.00007042523,0.00069988956,0.0000037731425,0.00071225903],"genre_scores_gemma":[0.9985089,0.00015868714,0.00021718835,0.0002978274,0.000016435915,0.000118562726,0.0004656661,0.0000032399537,0.00021336813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974897,0.0011528591,0.00037915588,0.00023970325,0.0003707753,0.00036775836],"domain_scores_gemma":[0.9899275,0.003053493,0.004061251,0.00022576442,0.0008772039,0.0018548326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024549915,0.00014815542,0.00037334993,0.0011060244,0.00089114247,0.0011250409,0.00041991883,0.00082719984,0.0026208889],"category_scores_gemma":[0.008526394,0.00025917258,0.0004302295,0.0014965343,0.00035132386,0.0013199477,0.0014261852,0.00097496534,0.00038328118],"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":[0.000083182764,0.00028480144,0.9905454,0.00006181795,0.000025834814,0.00013456852,0.0042449315,0.000033950157,0.00016118142,0.00003339443,0.0005432528,0.00384771],"study_design_scores_gemma":[0.000020977783,0.00048962253,0.98418343,0.000049709208,0.000015209964,0.000354084,0.0132668875,0.00031439366,0.00008961236,0.000015492615,0.0011822876,0.000018308912],"about_ca_topic_score_codex":0.0063517652,"about_ca_topic_score_gemma":0.010271123,"teacher_disagreement_score":0.0063517652,"about_ca_system_score_codex":0.0010674252,"about_ca_system_score_gemma":0.00083016214,"threshold_uncertainty_score":0.012983441},"labels":[],"label_agreement":null},{"id":"W3120418631","doi":"10.2196/22975","title":"Digital Footprint of Academic Vascular Surgeons in the Southern United States on Physician Rating Websites: Cross-sectional Evaluation Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Patient Satisfaction in Healthcare","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Vascular surgery; Listing (finance); Family medicine; Social media; Ranking (information retrieval); The Internet; Surgery; World Wide Web","score_opus":0.12839773099067595,"score_gpt":0.4683800083318238,"score_spread":0.33998227734114783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120418631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957228,0.00089399156,0.00008195497,0.00017376395,0.000008899034,0.0001965304,0.0015832603,0.000009485864,0.0013293405],"genre_scores_gemma":[0.99696535,0.0009810516,0.00033104792,0.00018880394,0.000023565352,0.0002342083,0.0009298105,0.000008460112,0.00033775563],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954175,0.0015397451,0.0007904891,0.00047001868,0.0014673854,0.00031486902],"domain_scores_gemma":[0.9703186,0.009113664,0.012694661,0.0006537434,0.0054205297,0.0017987565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005007005,0.00024951997,0.000628954,0.0037713877,0.0008329168,0.0019081071,0.0005608797,0.00057244673,0.0026208786],"category_scores_gemma":[0.02075995,0.00040845835,0.0008225713,0.0038290243,0.00071615324,0.0020236156,0.0016995458,0.0007935272,0.0005171278],"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":[0.00018836236,0.00028832044,0.98491883,0.0005644908,0.00014208579,0.00010909668,0.003595444,0.000030329053,0.000114524955,0.000045740682,0.0009918698,0.009010849],"study_design_scores_gemma":[0.000019520854,0.0003676175,0.9885583,0.0002622114,0.0000858725,0.00030527744,0.008988992,0.00015795561,0.00008193426,0.00002243967,0.001131025,0.000018769835],"about_ca_topic_score_codex":0.00799385,"about_ca_topic_score_gemma":0.01474277,"teacher_disagreement_score":0.00799385,"about_ca_system_score_codex":0.0013341068,"about_ca_system_score_gemma":0.0013702849,"threshold_uncertainty_score":0.02647984},"labels":[],"label_agreement":null},{"id":"W3125804658","doi":"10.2196/24473","title":"Predicting Cardiovascular Risk Using Social Media Data: Performance Evaluation of Machine-Learning Models","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Atherosclerotic cardiovascular disease; Cohort; Medicine; Artificial intelligence; Framingham Risk Score; Social media; Medical record; Predictive power; Machine learning; Emergency department; Disease; Internal medicine; Computer science; World Wide Web; Nursing","score_opus":0.30984860190076824,"score_gpt":0.4209840949848513,"score_spread":0.11113549308408305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125804658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9528427,0.002965026,0.03470634,0.0017960961,0.0003677838,0.0003418452,0.002326561,0.0011346531,0.0035189039],"genre_scores_gemma":[0.9853365,0.00035633022,0.012129516,0.00012999879,0.00013973874,0.000094833085,0.0014228009,0.000035855308,0.00035441385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99327046,0.0040202155,0.00055797625,0.0010379569,0.00083328807,0.00028015312],"domain_scores_gemma":[0.94709873,0.04491621,0.0020820138,0.0018559177,0.0031193597,0.0009277004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02167766,0.0024322188,0.0016222347,0.0044450103,0.0006653909,0.002145695,0.0013521456,0.0022333814,0.0009058612],"category_scores_gemma":[0.034325924,0.00037338285,0.0014413663,0.0017951303,0.00080192846,0.0022880668,0.0017626146,0.0017080447,0.0006557185],"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":[0.002476578,0.0020048253,0.54601115,0.00035611627,0.0022108736,0.00023369423,0.0002812537,0.27037123,0.00089720613,0.0007933727,0.004603664,0.16976012],"study_design_scores_gemma":[0.000047026933,0.0004499396,0.022392647,0.000036994363,0.00010229133,0.000083222316,0.00007375142,0.97524184,0.00046990422,0.0007896546,0.00028506923,0.000027607348],"about_ca_topic_score_codex":0.008360964,"about_ca_topic_score_gemma":0.0041752555,"teacher_disagreement_score":0.02167766,"about_ca_system_score_codex":0.0011936289,"about_ca_system_score_gemma":0.0008942253,"threshold_uncertainty_score":0.11464381},"labels":[],"label_agreement":null},{"id":"W3127700251","doi":"10.2196/18834","title":"User Engagement With Smartphone Apps and Cardiovascular Disease Risk Factor Outcomes: Systematic Review","year":2021,"lang":"en","type":"review","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Nursing Research; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"mHealth; CINAHL; Medicine; Psychological intervention; Operationalization; eHealth; Disease; Gerontology; Health care; Nursing; Internal medicine","score_opus":0.08625177320167586,"score_gpt":0.4369721414739744,"score_spread":0.3507203682722985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127700251","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017517738,0.99655616,0.00014989711,0.00018019827,0.00007774356,0.0004656987,0.0005235764,0.000011471212,0.0002835001],"genre_scores_gemma":[0.021318227,0.97618914,0.00061617483,0.00037028655,0.00006811415,0.0010355675,0.0002679431,0.0000058991377,0.000128593],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99350923,0.0021969653,0.0023520966,0.000499588,0.001237303,0.00020477861],"domain_scores_gemma":[0.9618009,0.029169677,0.006009134,0.00039941925,0.0023004774,0.0003205021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070751724,0.0013375245,0.007347544,0.007975037,0.0006418594,0.0024883458,0.0017197791,0.0016577889,0.004254001],"category_scores_gemma":[0.04395405,0.0009797384,0.0076135253,0.011016838,0.00084262947,0.0021406056,0.0014306927,0.0011653834,0.00025213335],"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":[0.00013250536,0.000015479462,0.0008798706,0.9705467,0.0074283145,0.00005253762,0.0001460421,0.00006445939,0.000057122343,0.00009152768,0.00070882315,0.01987655],"study_design_scores_gemma":[0.00023015948,0.00023722307,0.0059232744,0.90448546,0.07841845,0.0002459443,0.00024551593,0.000104955856,0.0001323425,0.0002095146,0.009735083,0.000032142245],"about_ca_topic_score_codex":0.011465219,"about_ca_topic_score_gemma":0.029463718,"teacher_disagreement_score":0.011465219,"about_ca_system_score_codex":0.003295962,"about_ca_system_score_gemma":0.011473317,"threshold_uncertainty_score":0.03741753},"labels":[],"label_agreement":null},{"id":"W3133677615","doi":"10.2196/24524","title":"Internet-Delivered Exposure-Based Therapy for Symptom Preoccupation in Atrial Fibrillation: Uncontrolled Pilot Trial","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Vetenskapsrådet","keywords":"Atrial fibrillation; The Internet; Medicine; Internal medicine; Psychology; Computer science; World Wide Web","score_opus":0.07506288754909499,"score_gpt":0.34288024750437146,"score_spread":0.26781735995527645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133677615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99333304,0.00069433526,0.00033902607,0.00016268788,0.00010439606,0.0042051375,0.0004234998,0.000057589452,0.00068028865],"genre_scores_gemma":[0.985158,0.0011381333,0.0015936615,0.00039769599,0.00033397233,0.009515424,0.00083710306,0.000012478771,0.0010134078],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9991667,0.0004724117,0.000069094036,0.0001019506,0.00006745654,0.0001223916],"domain_scores_gemma":[0.9985839,0.00044473715,0.00026927865,0.00019557192,0.000112759444,0.00039383097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020274336,0.0013165948,0.0020118332,0.00046367923,0.00060078886,0.0006894161,0.0009938655,0.0013347993,0.003838647],"category_scores_gemma":[0.0018225219,0.00040558135,0.0013476145,0.0005850298,0.0011731649,0.00068819406,0.0004926724,0.002247459,0.0006049492],"study_design_candidate":"nonrandomized_trial","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":[0.83251554,0.122261114,0.0037653928,0.0006516087,0.001225632,0.00013950946,0.00020212315,0.00043714533,0.004486741,0.00006798014,0.0005739619,0.033673227],"study_design_scores_gemma":[0.7029646,0.2878494,0.007817285,0.000023945142,0.0002890092,0.00003402142,0.00004598561,0.0003371651,0.00033321112,0.00004032449,0.00025505264,0.000010051381],"about_ca_topic_score_codex":0.0015056009,"about_ca_topic_score_gemma":0.0024343254,"teacher_disagreement_score":0.003838647,"about_ca_system_score_codex":0.00055283477,"about_ca_system_score_gemma":0.0013005002,"threshold_uncertainty_score":0.012841582},"labels":[],"label_agreement":null},{"id":"W3134937170","doi":"10.2196/21055","title":"Implantation of an Innovative Intracardiac Microcomputer System for Web-Based Real-Time Monitoring of Heart Failure: Usability and Patients’ Attitudes","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Commission","keywords":"Usability; Intracardiac injection; Medicine; Likert scale; Medical emergency; Heart failure; Quality of life (healthcare); Telemedicine; Health care; Surgery; Cardiology; Computer science; Psychology; Nursing","score_opus":0.01026961111487894,"score_gpt":0.2702712326638924,"score_spread":0.26000162154901346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134937170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999421,0.000054436736,0.00021067697,0.000027208389,0.0000032842204,0.000016866223,0.000009435648,0.0000047286235,0.00025221848],"genre_scores_gemma":[0.99895215,0.00007964059,0.00060310855,0.00005313764,0.000009517864,0.000027999671,0.00002597466,0.000002419866,0.0002459908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992805,0.0003585054,0.00005995496,0.000058618185,0.00017991077,0.00006252775],"domain_scores_gemma":[0.9969164,0.0014363085,0.0006186485,0.0001300957,0.0004758675,0.00042264233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001491616,0.00021135148,0.00020036602,0.00028370615,0.00018867166,0.0004132251,0.00014647584,0.00025178885,0.0014695954],"category_scores_gemma":[0.0044921106,0.000088471155,0.0003207016,0.00011170761,0.00023204854,0.00038692632,0.00031589434,0.00027779938,0.00019981312],"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":[0.0014086642,0.0030169855,0.8884276,0.00023872682,0.00013705684,0.0004012069,0.007571637,0.00027671436,0.016627096,0.00006847123,0.00044309904,0.08138278],"study_design_scores_gemma":[0.00010319263,0.011520329,0.9764104,0.000054177024,0.00010871855,0.0012712711,0.0039911973,0.0016768278,0.003392225,0.000039793034,0.0013890226,0.000043014377],"about_ca_topic_score_codex":0.0003544977,"about_ca_topic_score_gemma":0.00037628747,"teacher_disagreement_score":0.001491616,"about_ca_system_score_codex":0.00014309236,"about_ca_system_score_gemma":0.00017961752,"threshold_uncertainty_score":0.0078885555},"labels":[],"label_agreement":null},{"id":"W3137113787","doi":"10.2196/22296","title":"Electronic Health Records–Based Cardio-Oncology Registry for Care Gap Identification and Pragmatic Research: Procedure and Observational Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Chemotherapy-induced cardiotoxicity and mitigation","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; Cancer Prevention and Research Institute of Texas","keywords":"Medicine; Ejection fraction; Heart failure; Internal medicine; Cardiomyopathy; Population; Observational study; Cardiology; Medical record; Intensive care medicine","score_opus":0.146941825856221,"score_gpt":0.4367194593185264,"score_spread":0.2897776334623054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137113787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9471042,0.0010495376,0.012046517,0.00076695124,0.00006845345,0.025399653,0.01086803,0.00006953581,0.00262711],"genre_scores_gemma":[0.939638,0.00040835532,0.014371476,0.0010857561,0.000107969965,0.03530351,0.008699006,0.000041780324,0.000344237],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9437188,0.033141278,0.008310548,0.0055144615,0.0073803794,0.00193454],"domain_scores_gemma":[0.90583616,0.03017544,0.036509614,0.012445581,0.012549923,0.0024833083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.034430906,0.0009123842,0.0015567051,0.0038334867,0.0016406516,0.0022183268,0.0021753854,0.001230799,0.0027982567],"category_scores_gemma":[0.08892929,0.0013455676,0.0022287364,0.00672461,0.0015577734,0.0031171753,0.0044986573,0.0015896367,0.0011017092],"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":[0.0017096512,0.0029084352,0.9740214,0.0011285107,0.0008869131,0.0002371491,0.0022173312,0.00038244697,0.0001482485,0.001332708,0.0037519378,0.0112753995],"study_design_scores_gemma":[0.0054790224,0.006348463,0.950479,0.002082218,0.002088138,0.0013239864,0.00776254,0.009220953,0.000733683,0.0016923631,0.012579964,0.00020966216],"about_ca_topic_score_codex":0.0120325545,"about_ca_topic_score_gemma":0.010364581,"teacher_disagreement_score":0.034430906,"about_ca_system_score_codex":0.004234361,"about_ca_system_score_gemma":0.013031518,"threshold_uncertainty_score":0.18209022},"labels":[],"label_agreement":null},{"id":"W3143604841","doi":"10.2196/26259","title":"A Wearable Ballistocardiography Device for Estimating Heart Rate During Positive Airway Pressure Therapy: Investigational Study Among the General Population","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Flinders University; ResMed","keywords":"Medicine; Heart rate; Population; Positive airway pressure; Obstructive sleep apnea; Sleep apnea; Breathing; Cardiology; Physical therapy; Physical medicine and rehabilitation; Internal medicine; Blood pressure; Anesthesia","score_opus":0.022695981546766726,"score_gpt":0.31994074026344965,"score_spread":0.29724475871668293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3143604841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990552,0.00015470995,0.00034136788,0.00002296615,0.00000821535,0.0000589551,0.000050532588,0.0000033516258,0.0003045945],"genre_scores_gemma":[0.9982424,0.00028577555,0.0007410051,0.00012066826,0.000027571012,0.0000814649,0.00011239787,0.0000033821082,0.0003853475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993212,0.00022120598,0.000052040104,0.00016286426,0.00015114155,0.0000914481],"domain_scores_gemma":[0.9989323,0.0002548232,0.00021152114,0.00008456799,0.00032869313,0.00018809347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083533424,0.00058765523,0.0005113395,0.0007360006,0.0006530041,0.00056899607,0.00036005606,0.0007973113,0.0010563366],"category_scores_gemma":[0.002094566,0.0003600751,0.0005532791,0.0005005596,0.0003541035,0.0006107218,0.0003923001,0.00074933574,0.00038056145],"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":[0.00072547956,0.0022453177,0.9746791,0.00013186474,0.00016717247,0.000915023,0.002071873,0.0000397049,0.0054908316,0.0000338974,0.00018446162,0.013315112],"study_design_scores_gemma":[0.00005344374,0.00648476,0.9889782,0.000017234344,0.00015454565,0.0014236122,0.0017847238,0.00034599222,0.00033929123,0.000019685842,0.0003820632,0.000016499795],"about_ca_topic_score_codex":0.0027598918,"about_ca_topic_score_gemma":0.002869653,"teacher_disagreement_score":0.0027598918,"about_ca_system_score_codex":0.00018743733,"about_ca_system_score_gemma":0.00027828795,"threshold_uncertainty_score":0.005487621},"labels":[],"label_agreement":null},{"id":"W3154638832","doi":"10.2196/25277","title":"The Resilience of Cardiac Care Through Virtualized Services During the COVID-19 Pandemic: Case Study of a Heart Function Clinic","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Toronto Western Hospital; Public Health Ontario; University of Toronto; Ted Rogers Centre for Heart Research; University Health Network","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Thematic analysis; Pandemic; Health care; Resilience (materials science); Nursing; Telemedicine; Virtualization; Telehealth; Psychological resilience; Phone; Medical emergency; Medicine; Psychology; Coronavirus disease 2019 (COVID-19); Business; Qualitative research; Political science; Sociology; Social psychology","score_opus":0.061867708476983564,"score_gpt":0.4241087978767458,"score_spread":0.36224108939976224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154638832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900918,0.0004464853,0.0007009575,0.004908576,0.00008246185,0.00015243576,0.000034124914,0.000010209775,0.0035729113],"genre_scores_gemma":[0.99595755,0.0007668724,0.00077729556,0.0012507339,0.000060274706,0.00010722832,0.000016353664,0.000013499631,0.0010501319],"study_design_codex":"qualitative","study_design_gemma":"case_report","domain_scores_codex":[0.99349135,0.004509945,0.00015216984,0.00032395945,0.00041737244,0.0011051357],"domain_scores_gemma":[0.99118084,0.0045394427,0.0009706696,0.0002660421,0.00042454535,0.0026185545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047294307,0.00069734757,0.0006325904,0.0013189034,0.018687997,0.00402571,0.002603413,0.0037779412,0.0025944232],"category_scores_gemma":[0.012462692,0.00090647466,0.00072500575,0.0014768189,0.007838296,0.0030999605,0.006254819,0.0055406927,0.00030343822],"study_design_candidate":"case_report","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":[0.00008221088,0.00054837234,0.013516138,0.0002567673,0.000021208489,0.0445884,0.9268606,0.00018979203,0.00068706466,0.0024823558,0.0028227265,0.007944413],"study_design_scores_gemma":[0.000015149577,0.00025406785,0.004838759,0.00023498533,0.0000130407725,0.008848165,0.97866565,0.0002790275,0.00020880923,0.00042223468,0.0061897463,0.000030424371],"about_ca_topic_score_codex":0.019394578,"about_ca_topic_score_gemma":0.058786094,"teacher_disagreement_score":0.019394578,"about_ca_system_score_codex":0.007185259,"about_ca_system_score_gemma":0.0072073247,"threshold_uncertainty_score":0.052132964},"labels":[],"label_agreement":null},{"id":"W3160846677","doi":"10.2196/27321","title":"The Danish Future Patient Telerehabilitation Program for Patients With Atrial Fibrillation: Design and Pilot Study in Collaboration With Patients and Their Spouses","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Danmarks Tekniske Universitet; Aarhus Universitet; Aalborg Universitet; Hjerteforeningen","keywords":"Danish; Telerehabilitation; Atrial fibrillation; Medicine; Physical therapy; Physical medicine and rehabilitation; Telemedicine; Internal medicine; Health care","score_opus":0.02180538928593304,"score_gpt":0.2906716314979255,"score_spread":0.26886624221199246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160846677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862142,0.000086402906,0.00068527815,0.0001230929,0.000028397275,0.011761041,0.0001811213,0.0000110148985,0.0009094532],"genre_scores_gemma":[0.9352006,0.00037971893,0.009091861,0.00044452908,0.00006489227,0.05306648,0.0003060908,0.000009685631,0.0014361651],"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.993082,0.004810045,0.00033640486,0.0004326566,0.00036955465,0.00096930075],"domain_scores_gemma":[0.99185807,0.0037349702,0.00066639105,0.000597911,0.0011498606,0.001992825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009775052,0.0008142922,0.0009278269,0.00090541807,0.0027544613,0.0011130663,0.0010012825,0.0012169286,0.0046192263],"category_scores_gemma":[0.009053643,0.00069549424,0.0010628367,0.00068998,0.0012247121,0.00095015723,0.001783527,0.0012660343,0.00052380865],"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":[0.035109505,0.43888086,0.11583611,0.0061172475,0.00034992612,0.0045091114,0.16435552,0.0031038895,0.010480803,0.0012389523,0.0042029456,0.21581519],"study_design_scores_gemma":[0.03497758,0.5512443,0.20243502,0.00083153794,0.0005275052,0.000950278,0.18627968,0.0021537386,0.0041896314,0.0006688554,0.01546569,0.00027619864],"about_ca_topic_score_codex":0.005336529,"about_ca_topic_score_gemma":0.009053698,"teacher_disagreement_score":0.009775052,"about_ca_system_score_codex":0.0024820322,"about_ca_system_score_gemma":0.0075244135,"threshold_uncertainty_score":0.051696062},"labels":[],"label_agreement":null},{"id":"W3161398904","doi":"10.2196/28392","title":"Evaluating the Impact of a Digital Nutrition Platform on Cholesterol Levels in Users With Dyslipidemia: Longitudinal Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dyslipidemia; Meal; Cholesterol; Observational study; Medicine; Lipid profile; National Cholesterol Education Program; Ldl cholesterol; Internal medicine; Endocrinology; Environmental health; Physiology; Obesity; Metabolic syndrome","score_opus":0.24032249577441378,"score_gpt":0.5391275792890015,"score_spread":0.2988050835145877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161398904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983734,0.00019452022,0.00011894582,0.00005180791,0.000008709672,0.00009430221,0.0007763487,0.000004030683,0.00037781766],"genre_scores_gemma":[0.9977253,0.00019117894,0.00032080174,0.00013590338,0.000018182058,0.00018558526,0.0010786767,0.0000030958097,0.0003413225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901867,0.00027844863,0.00015999767,0.00017608322,0.00021128498,0.0001556087],"domain_scores_gemma":[0.9965468,0.0003757629,0.00147718,0.00033170482,0.00068401993,0.00058462954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002342177,0.00029639027,0.00047918208,0.0008191792,0.0011194268,0.0010296073,0.00050127436,0.0007605742,0.0014967589],"category_scores_gemma":[0.0040955995,0.00057810446,0.0012093794,0.0012859942,0.00029428635,0.0010197058,0.000860057,0.0013071246,0.0005299099],"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":[0.0002470546,0.00031025292,0.9979102,0.000022470831,0.00009796059,0.000024818752,0.00013290116,0.000014552629,0.00006970735,0.000009224895,0.00012224783,0.001038622],"study_design_scores_gemma":[0.00005213893,0.00088746945,0.99758196,0.000028744631,0.0001505604,0.00008566231,0.00046507723,0.00021282941,0.00008949184,0.000022140033,0.00041265355,0.000011260349],"about_ca_topic_score_codex":0.010452279,"about_ca_topic_score_gemma":0.013086758,"teacher_disagreement_score":0.010452279,"about_ca_system_score_codex":0.00066352723,"about_ca_system_score_gemma":0.0009261598,"threshold_uncertainty_score":0.020782888},"labels":[],"label_agreement":null},{"id":"W3162557600","doi":"10.2196/26544","title":"Patient-Reported Outcomes From Patients With Heart Failure Participating in the Future Patient Telerehabilitation Program: Data From the Intervention Arm of a Randomized Controlled Trial","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Danmarks Tekniske Universitet; Odense Universitetshospital; Aarhus Universitet; Aalborg Universitet; Hjerteforeningen","keywords":"Telerehabilitation; Randomized controlled trial; Intervention (counseling); Physical therapy; Medicine; Heart failure; Physical medicine and rehabilitation; Telemedicine; Health care; Nursing; Surgery; Internal medicine","score_opus":0.025327770834769777,"score_gpt":0.35258357236684423,"score_spread":0.32725580153207445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162557600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831933,0.006946521,0.00063288433,0.00042489357,0.00035455512,0.0050935443,0.0018512602,0.00004104257,0.0014619696],"genre_scores_gemma":[0.98254967,0.002805916,0.001015028,0.00061230134,0.00048162634,0.010180692,0.0017375287,0.000009515874,0.000607798],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9948266,0.003297636,0.0005905047,0.00047603872,0.00048547008,0.0003237319],"domain_scores_gemma":[0.99402386,0.0026346543,0.0018036388,0.00040382796,0.00041993568,0.00071409787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062350016,0.0010863862,0.0039393813,0.00057890255,0.0005581362,0.0010423547,0.0008624064,0.0023542552,0.005152897],"category_scores_gemma":[0.0074555143,0.00043364224,0.0041585024,0.00072673993,0.0008683454,0.0009881034,0.0005399066,0.00200784,0.00031040475],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9704141,0.006940698,0.0050994605,0.0015219626,0.004660779,0.00003802211,0.00006302072,0.0001715309,0.00043567028,0.000054736698,0.00043878378,0.010161291],"study_design_scores_gemma":[0.91024613,0.06635478,0.018209117,0.00017020527,0.0039884048,0.000036334408,0.000048162914,0.0002696131,0.00021223699,0.00007481391,0.0003628273,0.000027412243],"about_ca_topic_score_codex":0.0010330535,"about_ca_topic_score_gemma":0.0014164499,"teacher_disagreement_score":0.0062350016,"about_ca_system_score_codex":0.0006528134,"about_ca_system_score_gemma":0.0013002675,"threshold_uncertainty_score":0.032974243},"labels":[],"label_agreement":null},{"id":"W3162567904","doi":"10.2196/29101","title":"A Virtual Cardiovascular Care Program for Prevention of Heart Failure Readmissions in a Skilled Nursing Facility Population: Retrospective Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Medicine; Telemedicine; Population; Emergency medicine; Heart failure; Health care; Skilled Nursing Facility; Intensive care medicine; Medical emergency; Internal medicine","score_opus":0.014786821761565313,"score_gpt":0.326775317435304,"score_spread":0.3119884956737387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162567904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987546,0.00029438568,0.00013908581,0.00001418506,0.0000049546784,0.00007153722,0.00043012566,0.0000034337602,0.0002876691],"genre_scores_gemma":[0.9992949,0.00011885628,0.000117840726,0.000022814007,0.000006087603,0.000051484527,0.00034088345,0.0000018702087,0.000045268684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99766695,0.0007610262,0.00045405177,0.0003501373,0.0005000365,0.00026789872],"domain_scores_gemma":[0.9942139,0.0012338322,0.002912826,0.00038483235,0.00074866577,0.00050589745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016680832,0.0002465039,0.00034244373,0.0019586754,0.00054512254,0.0006707196,0.000712245,0.00048868626,0.0013134648],"category_scores_gemma":[0.0054232636,0.00034546867,0.000869237,0.0014845689,0.00031792375,0.0005391542,0.0009063468,0.00041072324,0.00018301148],"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":[0.00007039669,0.000045838806,0.99904674,0.000017374738,0.000036465048,0.000092688824,0.000041661788,0.000022100132,0.000027445863,0.0000066000803,0.000041980096,0.0005507326],"study_design_scores_gemma":[0.000020266592,0.0005843749,0.99727815,0.000034796052,0.000079920595,0.0007667539,0.00058482285,0.00037793658,0.00008763058,0.000010064305,0.00016886275,0.0000065393324],"about_ca_topic_score_codex":0.007511676,"about_ca_topic_score_gemma":0.0065900246,"teacher_disagreement_score":0.007511676,"about_ca_system_score_codex":0.00073681993,"about_ca_system_score_gemma":0.0009435289,"threshold_uncertainty_score":0.014935911},"labels":[],"label_agreement":null},{"id":"W3168596348","doi":"10.2196/24611","title":"Patient Perspectives on Innovative Telemonitoring Enhanced Care Program for Chronic Heart Failure (ITEC-CHF): Usability Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Usability; Likert scale; Telemedicine; Medicine; Nursing; Telehealth; Psychology; Medical education; Health care; Computer science","score_opus":0.01399405325269572,"score_gpt":0.3296656614616515,"score_spread":0.3156716082089558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168596348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99853706,0.00014427309,0.00025370074,0.00015339682,0.000012120952,0.00017291037,0.000072513794,0.000009444309,0.00064457447],"genre_scores_gemma":[0.99815494,0.00019469348,0.0007594723,0.00023159769,0.000021061192,0.00029963825,0.000082256985,0.000008131127,0.00024820422],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99220556,0.0056677246,0.00049806054,0.00032578272,0.0008290159,0.00047375934],"domain_scores_gemma":[0.9818523,0.012408981,0.0018129498,0.00047021155,0.0022731505,0.0011824577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009116721,0.00042382092,0.00080371357,0.00063925755,0.00096979167,0.0011160556,0.0003471121,0.00083268544,0.0016143626],"category_scores_gemma":[0.030938791,0.00025066047,0.0010412778,0.00049741234,0.00049628067,0.00086330343,0.0011389685,0.00066885725,0.00018278041],"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":[0.0031306238,0.008732021,0.5893564,0.002488144,0.0007073885,0.0020633182,0.19671965,0.0008098169,0.0061251866,0.000262904,0.0040793363,0.18552531],"study_design_scores_gemma":[0.00086262514,0.03721966,0.7980221,0.00068090204,0.0005317506,0.0027614327,0.14238359,0.0029594249,0.002745,0.00015711234,0.01137101,0.00030534717],"about_ca_topic_score_codex":0.0012402211,"about_ca_topic_score_gemma":0.0018747224,"teacher_disagreement_score":0.009116721,"about_ca_system_score_codex":0.0006019656,"about_ca_system_score_gemma":0.0007026447,"threshold_uncertainty_score":0.048214436},"labels":[],"label_agreement":null},{"id":"W3172085540","doi":"10.2196/27720","title":"Clinic Time Required for Remote and In-Person Management of Patients With Cardiac Devices: Time and Motion Workflow Evaluation","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Workflow; Medicine; Workload; Medical emergency; Cardiac resynchronization therapy; Telemedicine; Implantable cardioverter-defibrillator; Emergency medicine; Heart failure; Computer science; Cardiology; Ejection fraction; Database","score_opus":0.04069461782032307,"score_gpt":0.3304891360677066,"score_spread":0.2897945182473835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172085540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946761,0.0001752819,0.00304631,0.00010856143,0.000011154656,0.00014761441,0.0008157835,0.000045554087,0.0009735584],"genre_scores_gemma":[0.99300015,0.00015870683,0.0053793993,0.000034630273,0.0000141992305,0.00018617933,0.0008831491,0.00001355947,0.00033007795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99686396,0.0011752694,0.00052709953,0.00037135492,0.00074872957,0.00031345777],"domain_scores_gemma":[0.9872192,0.0038052013,0.0054583037,0.00033934735,0.002046501,0.0011314551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038770812,0.00042743742,0.00030335493,0.0019669507,0.00041081684,0.00073582696,0.0005342262,0.00025492985,0.0015443345],"category_scores_gemma":[0.013047548,0.00019114805,0.000820238,0.0014835797,0.00025835595,0.0005663489,0.00081777887,0.00029431048,0.00028888337],"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":[0.001464591,0.00087195146,0.8679606,0.0004040479,0.0002116009,0.00031352602,0.0021803465,0.017020425,0.0022473345,0.0003062867,0.0020312541,0.104988046],"study_design_scores_gemma":[0.00008198299,0.0028612951,0.9613474,0.00009761594,0.00012370387,0.00039722057,0.0025945993,0.027375195,0.002105955,0.00018383899,0.0027581318,0.000073147436],"about_ca_topic_score_codex":0.00804324,"about_ca_topic_score_gemma":0.0111500425,"teacher_disagreement_score":0.00804324,"about_ca_system_score_codex":0.0025054682,"about_ca_system_score_gemma":0.0025257587,"threshold_uncertainty_score":0.020504236},"labels":[],"label_agreement":null},{"id":"W3183371420","doi":"10.2196/20297","title":"The Effects of Lifestyle Intervention Using the Modified Beliefs, Attitude, Subjective Norms, Enabling Factors Model in Hypertension Management: Quasi-Experimental Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Douglas Mental Health University Institute; Université du Québec à Montréal","funders":"","keywords":"Blood pressure; Intervention (counseling); Stroke (engine); Medicine; Psychology; Physical therapy; Nursing; Internal medicine","score_opus":0.03687543687057888,"score_gpt":0.3117269820862537,"score_spread":0.27485154521567484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183371420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972241,0.000032810178,0.00030738872,0.000044167136,0.000026122183,0.002094737,0.000033782282,0.000007753396,0.00022901998],"genre_scores_gemma":[0.97930497,0.00019476042,0.007956872,0.00018955102,0.0001081894,0.010435871,0.000110313136,0.000005842353,0.001693569],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9966293,0.0020645002,0.00022596151,0.0003451882,0.00039517187,0.0003399132],"domain_scores_gemma":[0.99563724,0.0022372063,0.00058911147,0.0005759715,0.0003409184,0.0006196858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059873695,0.00079287565,0.001028987,0.0005814152,0.0011249782,0.0005432568,0.00074289605,0.000876458,0.0032915447],"category_scores_gemma":[0.0051548183,0.0007293445,0.00092319737,0.00026667613,0.0010550965,0.0005833855,0.0006186359,0.0013032362,0.00031879608],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.019786403,0.9148552,0.010821544,0.00060757337,0.00015872672,0.00008460856,0.004143409,0.00030922034,0.009142345,0.000212582,0.00028994618,0.039588433],"study_design_scores_gemma":[0.023296235,0.9129701,0.05543699,0.00007699173,0.00020982024,0.000042943917,0.00156639,0.0011914842,0.0038038094,0.000185875,0.0011794731,0.000039827915],"about_ca_topic_score_codex":0.0015680619,"about_ca_topic_score_gemma":0.0024999494,"teacher_disagreement_score":0.0059873695,"about_ca_system_score_codex":0.0005645598,"about_ca_system_score_gemma":0.0018145111,"threshold_uncertainty_score":0.03166467},"labels":[],"label_agreement":null},{"id":"W3186155399","doi":"10.2196/28731","title":"Moderation of the Stressor-Strain Process in Interns by Heart Rate Variability Measured With a Wearable and Smartphone App: Within-Subject Design Using Continuous Monitoring","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Hanzehogeschool Groningen; Universitair Medisch Centrum Groningen","keywords":"Heart rate variability; Stressor; Psychology; Context (archaeology); Evening; Moderation; Mood; Population; Wearable computer; Heart rate; Clinical psychology; Medicine; Social psychology; Internal medicine; Computer science; Blood pressure","score_opus":0.02557785670082652,"score_gpt":0.27155581164458614,"score_spread":0.24597795494375962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186155399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99769837,0.000060247134,0.00083042064,0.00001862532,0.000022740596,0.00094505894,0.00015122168,0.000010499208,0.00026279475],"genre_scores_gemma":[0.990257,0.00006692392,0.0028483355,0.000072001436,0.00003654598,0.005267042,0.00031123508,0.00000797068,0.0011328836],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879825,0.0005347626,0.000103084334,0.00032725037,0.00012671032,0.00010995521],"domain_scores_gemma":[0.99851197,0.0006153551,0.0002782883,0.00021878164,0.00020717504,0.00016834203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021063085,0.00043522648,0.00048640813,0.0002450431,0.0005031967,0.00047607525,0.00030445217,0.00045698803,0.002462829],"category_scores_gemma":[0.002650734,0.0004059511,0.00073749747,0.00027018713,0.0005821885,0.00030136819,0.00053998816,0.00048387906,0.00033117726],"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":[0.056043923,0.024066504,0.8379072,0.0009448721,0.0017291569,0.000264481,0.00948735,0.0012149222,0.023440141,0.00045396548,0.0013340944,0.043113418],"study_design_scores_gemma":[0.0009786009,0.021947483,0.9710824,0.0000365319,0.00046763665,0.0000513214,0.0011779913,0.0009870102,0.0018054403,0.00012451592,0.001313841,0.00002731511],"about_ca_topic_score_codex":0.0016883678,"about_ca_topic_score_gemma":0.0023745503,"teacher_disagreement_score":0.002462829,"about_ca_system_score_codex":0.00029825233,"about_ca_system_score_gemma":0.00064050464,"threshold_uncertainty_score":0.011139333},"labels":[],"label_agreement":null},{"id":"W3186198923","doi":"10.2196/27347","title":"Efficacy of Telemedicine in Hypertension Care Through Home Blood Pressure Monitoring and Videoconferencing: Randomized Controlled Trial","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Telemedicine; Medicine; Blood pressure; Evening; Randomized controlled trial; Morning; Medical prescription; Adverse effect; Internal medicine; Emergency medicine; Physical therapy; Health care; Nursing","score_opus":0.027143155595094157,"score_gpt":0.28949382277295,"score_spread":0.2623506671778558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186198923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9628997,0.017174194,0.0010618946,0.0013901654,0.0019337677,0.011369657,0.0012111232,0.00019573659,0.0027636974],"genre_scores_gemma":[0.9678335,0.0065632057,0.0027762563,0.0018003071,0.0023414532,0.015630715,0.0008318754,0.000018807019,0.0022038983],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99728775,0.0014922965,0.00031354406,0.0004205458,0.00021839235,0.00026751918],"domain_scores_gemma":[0.9964121,0.0014518828,0.00095054397,0.00022344134,0.00024939096,0.00071268744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003478067,0.0013045594,0.0050263726,0.0009291396,0.00068989815,0.001280953,0.001332522,0.0033115146,0.0089140115],"category_scores_gemma":[0.005388162,0.000803706,0.0039277454,0.0009442609,0.0013412188,0.001642073,0.0006401791,0.0029408573,0.000589527],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9829554,0.006114345,0.00050272694,0.0011811431,0.0016862634,0.000021104075,0.000025267162,0.00009258664,0.00018256994,0.00004682046,0.00029990467,0.0068919617],"study_design_scores_gemma":[0.9786962,0.018912498,0.0009125892,0.00007558912,0.00094170246,0.000008231875,0.000010656373,0.00020213307,0.0000628233,0.00004505616,0.00012614568,0.000006234128],"about_ca_topic_score_codex":0.0018494001,"about_ca_topic_score_gemma":0.0025482823,"teacher_disagreement_score":0.0089140115,"about_ca_system_score_codex":0.0013417265,"about_ca_system_score_gemma":0.0018526069,"threshold_uncertainty_score":0.029820383},"labels":[],"label_agreement":null},{"id":"W3186203630","doi":"10.2196/21186","title":"User Perceptions and Experiences of a Handheld 12-Lead Electrocardiographic Device in a Clinical Setting: Usability Evaluation","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Sydney","keywords":"Usability; Intraclass correlation; Medicine; QT interval; Atrial fibrillation; Electrocardiography; Cardiology; Computer science; Human–computer interaction","score_opus":0.042436551980178816,"score_gpt":0.39260370947043843,"score_spread":0.3501671574902596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186203630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99919313,0.000074366246,0.0002469889,0.000032972075,0.000004403343,0.00013291487,0.000016588925,0.000005227863,0.00029335165],"genre_scores_gemma":[0.99835604,0.00009644759,0.0010694606,0.000065687105,0.000006785194,0.00017481766,0.000027383165,0.0000033484819,0.00020007556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9940567,0.003622747,0.000582867,0.00034308375,0.0009817018,0.00041286985],"domain_scores_gemma":[0.984698,0.009177907,0.0017491479,0.0003943905,0.0025714315,0.0014091176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010176304,0.00039874966,0.00071564456,0.00054873707,0.0005796915,0.0012239744,0.00039660712,0.00057845225,0.0011186241],"category_scores_gemma":[0.020368412,0.00022381636,0.00073695753,0.00032447884,0.00075592444,0.0007068322,0.0013838941,0.00054987764,0.00016488534],"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":[0.0036404342,0.009239423,0.6059917,0.002753748,0.00041365926,0.0019529558,0.24035159,0.0013431581,0.014958245,0.00026007494,0.0017601539,0.11733487],"study_design_scores_gemma":[0.00043460817,0.038783833,0.82983863,0.00041164164,0.00029777517,0.002065194,0.115094,0.004466766,0.003981694,0.00018100931,0.0041702054,0.00027476033],"about_ca_topic_score_codex":0.0008595932,"about_ca_topic_score_gemma":0.0011946635,"teacher_disagreement_score":0.010176304,"about_ca_system_score_codex":0.00055857014,"about_ca_system_score_gemma":0.0006064952,"threshold_uncertainty_score":0.053818047},"labels":[],"label_agreement":null},{"id":"W3186211236","doi":"10.2196/27765","title":"Validation of Heart Rate Extracted From Wrist-Based Photoplethysmography in the Perioperative Setting: Prospective Observational Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Rijksdienst voor Ondernemend Nederland; ITEA","keywords":"Photoplethysmogram; Medicine; Heart rate; Perioperative; Limits of agreement; Gold standard (test); Wrist; Anesthesia; Cardiology; Surgery; Blood pressure; Internal medicine; Nuclear medicine","score_opus":0.030669995667285118,"score_gpt":0.2760863877927035,"score_spread":0.24541639212541838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186211236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99907035,0.00016570813,0.000413273,0.0000081113085,0.0000063386383,0.000034398567,0.00014576864,0.0000027180677,0.00015343179],"genre_scores_gemma":[0.99928445,0.00007379659,0.0002497183,0.0000228597,0.000011036691,0.000038791954,0.00028347215,0.0000030397769,0.000032767126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956326,0.0016598362,0.00060835003,0.00091451406,0.00094499957,0.00023961732],"domain_scores_gemma":[0.98775566,0.0038465604,0.004859851,0.0015129198,0.0013765759,0.0006483727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004425587,0.00039266434,0.000538948,0.0006544895,0.00043439335,0.0008981165,0.00057048234,0.00064483046,0.000761394],"category_scores_gemma":[0.010384541,0.00037868536,0.0005940319,0.0006431748,0.00061775325,0.00071006885,0.0006551114,0.00073820795,0.00033842196],"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":[0.00031446732,0.00014526748,0.9976665,0.000028073806,0.00007452689,0.00005874931,0.00016143423,0.000026232552,0.00039872376,0.000010048253,0.00003771624,0.0010784289],"study_design_scores_gemma":[0.000025211879,0.0016848411,0.99674916,0.000015557272,0.00007154367,0.00039263157,0.0003151075,0.00026711423,0.00028937683,0.000015390871,0.00016529886,0.000008758105],"about_ca_topic_score_codex":0.00074105413,"about_ca_topic_score_gemma":0.00080072583,"teacher_disagreement_score":0.004425587,"about_ca_system_score_codex":0.00027896612,"about_ca_system_score_gemma":0.00048432066,"threshold_uncertainty_score":0.023405015},"labels":[],"label_agreement":null},{"id":"W3190087396","doi":"10.2196/30428","title":"Transitions in Technology-Mediated Cardiac Rehabilitation and Self-management: Qualitative Study Using the Theoretical Domains Framework","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Interreg; European Commission","keywords":"Rehabilitation; Social connectedness; Psychology; Medicine; Applied psychology; Process management; Physical therapy; Social psychology; Engineering","score_opus":0.011473778507060583,"score_gpt":0.3741725590377147,"score_spread":0.3626987805306541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190087396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97870785,0.0010023696,0.0071825306,0.002472921,0.00008509,0.0008203458,0.00032247664,0.000022818034,0.009383595],"genre_scores_gemma":[0.99307257,0.0006457096,0.0024155595,0.0007549239,0.000014306113,0.00073126616,0.000079749196,0.000020728407,0.0022651919],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9921814,0.0059794774,0.00020067398,0.00044648943,0.00039127478,0.0008006707],"domain_scores_gemma":[0.9856975,0.01167619,0.0007587787,0.0002779949,0.0006626611,0.0009270253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011723776,0.00041362553,0.0006739586,0.0014538524,0.008477656,0.003858652,0.0015450977,0.0015636248,0.0034267434],"category_scores_gemma":[0.011872091,0.0005121185,0.00057939294,0.0017602133,0.00837172,0.004013294,0.0057536527,0.002851261,0.0003254647],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030055735,0.000074176205,0.0015498665,0.00016750096,0.000003865677,0.0005426762,0.99118185,0.00004453525,0.00041407844,0.0018398048,0.00031804806,0.003833486],"study_design_scores_gemma":[0.000008155811,0.000046794816,0.0013488126,0.00019460778,0.000003651493,0.000175174,0.9916843,0.00011549091,0.00019755952,0.00048379312,0.0057322923,0.000009302607],"about_ca_topic_score_codex":0.008477095,"about_ca_topic_score_gemma":0.013218169,"teacher_disagreement_score":0.011723776,"about_ca_system_score_codex":0.0057519833,"about_ca_system_score_gemma":0.0055581816,"threshold_uncertainty_score":0.062001944},"labels":[],"label_agreement":null},{"id":"W3193155238","doi":"10.2196/23464","title":"A Patient Decision Aid for Anticoagulation Therapy in Patients With Nonvalvular Atrial Fibrillation: Development and Pilot Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Pfizer","keywords":"Medicine; Atrial fibrillation; Decision aids; Stroke (engine); Anticoagulant; Anticoagulant therapy; Oral anticoagulant; Intensive care medicine; Physical therapy; Emergency medicine; Warfarin; Internal medicine; Alternative medicine","score_opus":0.050426845202906946,"score_gpt":0.3188216975464229,"score_spread":0.26839485234351595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193155238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928469,0.00009454026,0.001526105,0.00020382249,0.000026344625,0.003716912,0.00025848395,0.000051128136,0.0012757666],"genre_scores_gemma":[0.95761096,0.0004372693,0.032177974,0.00035734824,0.00003732233,0.0077381725,0.0005964003,0.000014686416,0.0010299297],"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9969999,0.0017294702,0.00032969416,0.00020823417,0.00048622894,0.00024638567],"domain_scores_gemma":[0.9871197,0.008810527,0.0007424774,0.00047797614,0.0014836349,0.0013657415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006713695,0.0005118113,0.0006001791,0.00052681065,0.00045388436,0.0011409873,0.0006902737,0.0005965695,0.003331228],"category_scores_gemma":[0.018719122,0.0003162466,0.0009637815,0.00038594307,0.0005520523,0.0011188042,0.0012432229,0.0011784397,0.0005319886],"study_design_candidate":"nonrandomized_trial","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":[0.013691754,0.113392435,0.29504398,0.003042731,0.00045606567,0.001675138,0.026126755,0.0033961958,0.005644215,0.0011410796,0.006498499,0.5298911],"study_design_scores_gemma":[0.023495508,0.2862127,0.562827,0.0013482015,0.001438705,0.0039618784,0.026630875,0.03553513,0.016719185,0.0020027335,0.03936713,0.00046089012],"about_ca_topic_score_codex":0.0006573901,"about_ca_topic_score_gemma":0.00092698605,"teacher_disagreement_score":0.006713695,"about_ca_system_score_codex":0.0006392816,"about_ca_system_score_gemma":0.0020293698,"threshold_uncertainty_score":0.03550583},"labels":[],"label_agreement":null},{"id":"W3197287452","doi":"10.2196/28246","title":"Initial Outcomes of CardioClick, a Telehealth Program for Preventive Cardiac Care: Observational Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Stanford Cardiovascular Institute, School of Medicine, Stanford University; National Heart, Lung, and Blood Institute; Agency for Healthcare Research and Quality; American Heart Association","keywords":"Telehealth; Medicine; Cohort; Specialty; Cohort study; Observational study; Preventive care; Emergency medicine; Family medicine; Physical therapy; Telemedicine; Internal medicine; Health care","score_opus":0.1000988016597297,"score_gpt":0.46438814476392654,"score_spread":0.3642893431041968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197287452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988722,0.00007862205,0.000047570673,0.000046911966,0.0000048508896,0.00007282739,0.00049957325,0.0000036828665,0.0003736936],"genre_scores_gemma":[0.9984713,0.00008901071,0.00009763411,0.00010378576,0.000020235802,0.00010239746,0.00097005407,0.0000026278651,0.00014290916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989188,0.0002564155,0.000114018294,0.00022400088,0.0003188155,0.00016806356],"domain_scores_gemma":[0.9963393,0.00045486735,0.0016680647,0.0002030567,0.00037280482,0.0009618656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012837957,0.00029006405,0.00044491273,0.0006209603,0.0006742159,0.0008905835,0.00069089764,0.00061975425,0.0015950606],"category_scores_gemma":[0.004392981,0.0003118309,0.0006481508,0.00086746964,0.00026577656,0.00070775463,0.0008635317,0.0012225041,0.00027341757],"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":[0.00020444511,0.00050598214,0.99686325,0.000023211747,0.0000668709,0.000041182295,0.00019370581,0.000021514188,0.00007241682,0.000008923197,0.00034671763,0.001651669],"study_design_scores_gemma":[0.00005986362,0.00037357825,0.9988387,0.000015096163,0.000039846596,0.00006318307,0.00031171567,0.0001259814,0.000026657915,0.0000072387575,0.00013409894,0.000004051836],"about_ca_topic_score_codex":0.008623225,"about_ca_topic_score_gemma":0.012488676,"teacher_disagreement_score":0.008623225,"about_ca_system_score_codex":0.0008870621,"about_ca_system_score_gemma":0.00090742344,"threshold_uncertainty_score":0.01714605},"labels":[],"label_agreement":null},{"id":"W3198723367","doi":"10.2196/27867","title":"Financial Incentives for Healthy Living for Patients With Cardiac Disease From the Perspective of Health Care Professionals: Interview Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"ZonMw","keywords":"Incentive; Autonomy; Disengagement theory; Perspective (graphical); Medicine; Psychology; Business; Finance; Gerontology; Economics; Political science","score_opus":0.03011605211379534,"score_gpt":0.3022048439038275,"score_spread":0.2720887917900322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198723367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99595416,0.00038253493,0.00053008564,0.0010613038,0.000019642828,0.0004327807,0.0002010785,0.0000029530645,0.0014156016],"genre_scores_gemma":[0.99446505,0.00086083834,0.0011982501,0.00119706,0.000031045245,0.001052635,0.00022368504,0.0000038435714,0.0009676219],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99623555,0.0022357847,0.0002873853,0.00020921307,0.00018272546,0.00084934034],"domain_scores_gemma":[0.99083143,0.0055534267,0.0014158407,0.00018052648,0.00070434116,0.00131443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004973559,0.000275192,0.0003343924,0.0009308578,0.0028718112,0.0014382832,0.0003993231,0.0011734678,0.0023398686],"category_scores_gemma":[0.011578411,0.00061924406,0.0004120018,0.0011570387,0.0013136538,0.0012708743,0.0021009634,0.002140854,0.00031548383],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003044674,0.0008497516,0.12692952,0.0007549389,0.00002964154,0.0018030574,0.8442295,0.00016415787,0.0017064664,0.0009792242,0.0035650725,0.018684248],"study_design_scores_gemma":[0.00010129078,0.0005442102,0.055654973,0.00040894002,0.00002513826,0.00059221353,0.9261784,0.00038292565,0.0004955095,0.0002628894,0.015309337,0.000044113935],"about_ca_topic_score_codex":0.00895121,"about_ca_topic_score_gemma":0.015725527,"teacher_disagreement_score":0.00895121,"about_ca_system_score_codex":0.00350946,"about_ca_system_score_gemma":0.005502044,"threshold_uncertainty_score":0.026302993},"labels":[],"label_agreement":null},{"id":"W3200333554","doi":"10.2196/28259","title":"Experiences and Perceptions of Patients and Providers Participating in Remote Titration of Heart Failure Medication Facilitated by Telemonitoring: Qualitative Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Toronto General Hospital; Ted Rogers Centre for Heart Research; University Health Network; Public Health Ontario; University of Toronto","funders":"","keywords":"Randomized controlled trial; Medicine; Intervention (counseling); Qualitative research; Nursing; Surgery","score_opus":0.02317394379230077,"score_gpt":0.3561139452146925,"score_spread":0.3329400014223917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200333554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99430805,0.00053260557,0.0012555385,0.0017445264,0.000046019733,0.0001754041,0.00011938899,0.000010087775,0.0018083747],"genre_scores_gemma":[0.9966628,0.00058397447,0.0006697163,0.0008881395,0.000023366865,0.0002472093,0.000054017546,0.000013827652,0.00085698947],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.98603255,0.010493688,0.0003518901,0.0005918059,0.0007158937,0.0018141888],"domain_scores_gemma":[0.97469157,0.019033402,0.0019378056,0.00041231592,0.0013613545,0.0025635324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013372243,0.00063178304,0.0009703716,0.0011634883,0.007128172,0.0037986594,0.0017945536,0.0019395928,0.0030273427],"category_scores_gemma":[0.022513885,0.000803884,0.0006546133,0.0013160112,0.0068561174,0.00380946,0.0056529436,0.003316501,0.00031641367],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044145334,0.00006145432,0.0036200522,0.00011812722,0.0000056363997,0.0004938777,0.99273056,0.000021977257,0.0004183395,0.00025477013,0.00021648244,0.0020145688],"study_design_scores_gemma":[0.000004769327,0.0000630466,0.0014350942,0.00009300434,0.0000034071259,0.00016537415,0.99644744,0.00004158237,0.000119155666,0.000069010166,0.0015484006,0.000009573746],"about_ca_topic_score_codex":0.007517494,"about_ca_topic_score_gemma":0.009190467,"teacher_disagreement_score":0.013372243,"about_ca_system_score_codex":0.0041471375,"about_ca_system_score_gemma":0.004792628,"threshold_uncertainty_score":0.07072002},"labels":[],"label_agreement":null},{"id":"W3200986267","doi":"10.2196/31056","title":"Interventions Using Heart Age for Cardiovascular Disease Risk Communication: Systematic Review of Psychological, Behavioral, and Clinical Effects","year":2021,"lang":"en","type":"review","venue":"JMIR Cardio","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Psychological intervention; Medicine; Randomized controlled trial; Gerontology; Disease; Clinical psychology; Psychology; Physical therapy; Psychiatry; Internal medicine","score_opus":0.6040705860011019,"score_gpt":0.6223368787770343,"score_spread":0.01826629277593239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200986267","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012379588,0.9974962,0.00014816555,0.00018107057,0.00009277667,0.0003898266,0.0002216368,0.000012161205,0.00022026633],"genre_scores_gemma":[0.021016104,0.97612464,0.00096857816,0.0005643422,0.00008881901,0.00094348646,0.00016424358,0.000007570228,0.00012227288],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9932441,0.003034912,0.0019170281,0.0005135749,0.0011187991,0.000171518],"domain_scores_gemma":[0.9665139,0.026800502,0.0042700786,0.00038941123,0.0017224408,0.0003037764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009501039,0.0014433524,0.008667259,0.0045687305,0.00054918963,0.0020927289,0.0015130565,0.0017885502,0.005805592],"category_scores_gemma":[0.04428011,0.00083544804,0.009840164,0.004803904,0.00084405707,0.0015716777,0.0011970835,0.0014149459,0.00031162373],"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":[0.00052299007,0.000046853573,0.00037960807,0.9437518,0.013014399,0.000031930736,0.00012608802,0.00008245998,0.00010076754,0.00013883115,0.0008598408,0.04094447],"study_design_scores_gemma":[0.0013997321,0.0007573486,0.005005862,0.8300039,0.14856611,0.00015893475,0.00021801886,0.00011598931,0.0002808959,0.00037637493,0.013069578,0.00004720108],"about_ca_topic_score_codex":0.0074571306,"about_ca_topic_score_gemma":0.018915687,"teacher_disagreement_score":0.009501039,"about_ca_system_score_codex":0.002844017,"about_ca_system_score_gemma":0.007454357,"threshold_uncertainty_score":0.050246894},"labels":[],"label_agreement":null},{"id":"W3201285748","doi":"10.2196/33252","title":"Values of Importance to Patients With Cardiovascular Disease as a Foundation for eHealth Design and Evaluation: Mixed Methods Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"ZonMw","keywords":"eHealth; Usability; Psychological intervention; Value (mathematics); Medicine; Health care; Disease; Psychology; Computer science; Nursing; Internal medicine","score_opus":0.08747498372433046,"score_gpt":0.4994388010799681,"score_spread":0.4119638173556376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201285748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8605459,0.0016678543,0.02919419,0.000610298,0.00021885581,0.10266615,0.0007647143,0.0000795782,0.004252461],"genre_scores_gemma":[0.6841419,0.0007537591,0.0702668,0.000994323,0.0001422523,0.24174286,0.00033616787,0.000040452265,0.001581424],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9254465,0.057568755,0.006430503,0.002768876,0.005965235,0.0018200681],"domain_scores_gemma":[0.8973601,0.069032684,0.010023641,0.005768249,0.016068775,0.0017466152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08315391,0.0011914865,0.0015815587,0.0020943584,0.0017556871,0.00275424,0.0011162987,0.0013350886,0.0040066],"category_scores_gemma":[0.09023096,0.0008844268,0.0035677385,0.0015625836,0.0016447894,0.0013411344,0.0017524175,0.0014501357,0.00061460433],"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":[0.031605784,0.046657063,0.21362127,0.019098438,0.0038156537,0.00070197444,0.13500555,0.0014880782,0.0056475718,0.006418203,0.0066866614,0.5292537],"study_design_scores_gemma":[0.029488288,0.26490742,0.43328243,0.01615853,0.007872322,0.0011721222,0.12893258,0.012784812,0.021232387,0.012082906,0.07112185,0.00096435996],"about_ca_topic_score_codex":0.0010680635,"about_ca_topic_score_gemma":0.0017693024,"teacher_disagreement_score":0.08315391,"about_ca_system_score_codex":0.0035609794,"about_ca_system_score_gemma":0.0066361288,"threshold_uncertainty_score":0.43976516},"labels":[],"label_agreement":null},{"id":"W3201715571","doi":"10.2196/32351","title":"The Effects of a Digital Mental Health Intervention in Adults With Cardiovascular Disease Risk Factors: Analysis of Real-World User Data","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Anxiety; Mental health; Psychological intervention; Population; Medicine; Blood pressure; Disease; Intervention (counseling); Digital health; Clinical psychology; Psychiatry; Gerontology; Psychology; Environmental health; Internal medicine; Health care","score_opus":0.021967372583856597,"score_gpt":0.35465691065901145,"score_spread":0.33268953807515483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201715571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992107,0.00007689797,0.00009453715,0.00002495707,0.0000025864656,0.000080138954,0.00039826383,0.0000041252374,0.0001076655],"genre_scores_gemma":[0.9981482,0.00011490936,0.00056076,0.000036161695,0.000008791568,0.00024424086,0.0008133407,0.0000023232326,0.00007130938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970567,0.002022276,0.00027042572,0.00019893577,0.00032982964,0.0001218846],"domain_scores_gemma":[0.9819743,0.012303144,0.003243118,0.00090683176,0.00086520263,0.00070732314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057213125,0.00033202325,0.00048766765,0.0010932366,0.00036566443,0.00054808916,0.00041573826,0.0005447714,0.0013202231],"category_scores_gemma":[0.019401776,0.00019217655,0.001476895,0.0008779797,0.00036786406,0.0006765514,0.00089764077,0.00050726556,0.00016182917],"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":[0.008247045,0.0029007166,0.9476802,0.0004319797,0.0013478313,0.00009442833,0.0012096559,0.0011404074,0.00052368094,0.000068702924,0.00068767037,0.035667665],"study_design_scores_gemma":[0.00022642009,0.0043301787,0.99111944,0.00003702592,0.0002916887,0.000090936504,0.00069894135,0.0025544644,0.00021339768,0.000031729232,0.0003824884,0.000023284128],"about_ca_topic_score_codex":0.003290819,"about_ca_topic_score_gemma":0.0055551515,"teacher_disagreement_score":0.0057213125,"about_ca_system_score_codex":0.00050124666,"about_ca_system_score_gemma":0.00036240416,"threshold_uncertainty_score":0.030257583},"labels":[],"label_agreement":null},{"id":"W3203633271","doi":"10.2196/27016","title":"Usability and Perceived Usefulness of the AFib 2gether Mobile App in a Clinical Setting: Single-Arm Intervention Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Pfizer","keywords":"Usability; Atrial fibrillation; Mobile apps; Intervention (counseling); Medicine; System usability scale; Rating scale; Scale (ratio); App store; Psychology; Physical therapy; Internal medicine; Computer science; World Wide Web; Web usability; Nursing; Human–computer interaction","score_opus":0.08614474174277327,"score_gpt":0.38898481729538353,"score_spread":0.3028400755526103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203633271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943593,0.000100554214,0.00021283166,0.00006715913,0.000043862994,0.004642772,0.00008055891,0.000018408533,0.00047466301],"genre_scores_gemma":[0.9753132,0.00017586551,0.0021835654,0.00023495127,0.00013387694,0.021086028,0.0001274773,0.000009007513,0.0007362523],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9916385,0.0044491827,0.00080021116,0.0009445383,0.0010889194,0.001078694],"domain_scores_gemma":[0.99156195,0.003320768,0.0016297243,0.00065996306,0.0008291223,0.0019985603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007366205,0.0017213753,0.0029509205,0.001125185,0.0016655006,0.0015298211,0.000848975,0.0020663294,0.004376087],"category_scores_gemma":[0.013362503,0.0009971143,0.00199428,0.0006932132,0.0017276123,0.0020689238,0.0014175734,0.002328274,0.0006910112],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.35103968,0.54108924,0.042511187,0.0015730412,0.0013817445,0.00021360087,0.0039383303,0.0004217643,0.0032240853,0.00012429742,0.0010579196,0.053425092],"study_design_scores_gemma":[0.1267163,0.7636112,0.10516606,0.00011670002,0.0006313023,0.000046319416,0.0010294279,0.0010819649,0.0006722161,0.00013550537,0.00069641555,0.000096628035],"about_ca_topic_score_codex":0.0011715791,"about_ca_topic_score_gemma":0.0019690655,"teacher_disagreement_score":0.007366205,"about_ca_system_score_codex":0.0015048289,"about_ca_system_score_gemma":0.00215529,"threshold_uncertainty_score":0.0389567},"labels":[],"label_agreement":null},{"id":"W3203692713","doi":"10.2196/26072","title":"Real-World Experience of mHealth Implementation in Clinical Practice (the Box): Design and Usability Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"mHealth; Medicine; Health care; Usability; Myocardial infarction; Medical emergency; Emergency medicine; Nursing; Internal medicine; Psychological intervention; Computer science","score_opus":0.14719269025563136,"score_gpt":0.5847206408127873,"score_spread":0.43752795055715593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203692713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956625,0.00009972208,0.0016413075,0.00007955869,0.000018707478,0.001804729,0.0001179818,0.000032622433,0.0005428969],"genre_scores_gemma":[0.98244137,0.00021823533,0.010186562,0.00019805755,0.0000365683,0.0059196264,0.00022654739,0.000033170687,0.00073987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98425955,0.011887361,0.001164546,0.0009297897,0.0010499267,0.0007089118],"domain_scores_gemma":[0.9457597,0.039134175,0.004015746,0.0027159539,0.0061536874,0.0022208137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028829703,0.0006889829,0.0008987636,0.0015579306,0.00093845575,0.0019238713,0.0007238891,0.001225704,0.0018661319],"category_scores_gemma":[0.045502618,0.00067194377,0.0012063375,0.0008159237,0.0020935205,0.0021697672,0.0019923532,0.0008590148,0.0004170905],"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":[0.008521655,0.030459344,0.41211233,0.0070400997,0.0007461474,0.002375217,0.28078347,0.003271722,0.01083446,0.0012116355,0.0060712434,0.2365727],"study_design_scores_gemma":[0.003483145,0.12640923,0.6458225,0.0027904853,0.00083579455,0.002412037,0.16866145,0.010632357,0.007897512,0.0012843701,0.028932728,0.00083846424],"about_ca_topic_score_codex":0.0008100442,"about_ca_topic_score_gemma":0.0014960356,"teacher_disagreement_score":0.028829703,"about_ca_system_score_codex":0.0014361468,"about_ca_system_score_gemma":0.0014433208,"threshold_uncertainty_score":0.1524679},"labels":[],"label_agreement":null},{"id":"W3203728377","doi":"10.2196/28015","title":"The Effect of Cardiovascular Comorbidities on Women Compared to Men: Longitudinal Retrospective Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Vienna Science and Technology Fund","keywords":"Medicine; Diabetes mellitus; Odds ratio; Confidence interval; Population; Internal medicine; Myocardial infarction; Medical record; Stroke (engine); Disease; Retrospective cohort study; Comorbidity; Endocrinology; Environmental health","score_opus":0.01839629818620735,"score_gpt":0.317094375352543,"score_spread":0.2986980771663356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203728377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99331737,0.0016259839,0.00055252406,0.000051091956,0.000020908392,0.000039733844,0.00380401,0.0000093313365,0.0005790071],"genre_scores_gemma":[0.99700576,0.00034140522,0.0003000861,0.000059524384,0.00001712085,0.000053309246,0.0020466875,0.000007135011,0.00016904023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981335,0.0004307934,0.00028544397,0.0007106831,0.0002459001,0.00019364731],"domain_scores_gemma":[0.99641234,0.0007451926,0.0015428524,0.0006266984,0.0003919391,0.0002809525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027813523,0.00028646598,0.00058579195,0.0012325346,0.00056592905,0.0007019469,0.000417099,0.00041994263,0.0016507336],"category_scores_gemma":[0.005180637,0.00047652586,0.0013377131,0.0017111835,0.00032414182,0.00057185395,0.0007712131,0.0006214073,0.00036893607],"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":[0.00009079429,0.000012219449,0.99889743,0.000014967056,0.00017779524,0.000027662265,0.00005398687,0.000013059877,0.000042377127,0.000013857545,0.0001026199,0.0005533303],"study_design_scores_gemma":[0.000012124682,0.000108642715,0.9985071,0.000020941381,0.00023654013,0.00020945506,0.00019334274,0.00012232889,0.000045475164,0.000033642562,0.00050386135,0.0000066077228],"about_ca_topic_score_codex":0.005957244,"about_ca_topic_score_gemma":0.008177968,"teacher_disagreement_score":0.005957244,"about_ca_system_score_codex":0.0003499308,"about_ca_system_score_gemma":0.00046832205,"threshold_uncertainty_score":0.014709353},"labels":[],"label_agreement":null},{"id":"W3204460798","doi":"10.2196/31985","title":"Toward the Value Sensitive Design of eHealth Technologies to Support Self-management of Cardiovascular Diseases: Content Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Diabetes Management and Education","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"eHealth; Computer science; Set (abstract data type); Knowledge management; Value (mathematics); Data science; Health care","score_opus":0.043988243503329506,"score_gpt":0.2909773852755378,"score_spread":0.2469891417722083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204460798","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3887435,0.005132293,0.50519943,0.012132332,0.00035936726,0.063127115,0.003131047,0.00062241615,0.0215525],"genre_scores_gemma":[0.34691104,0.0017639078,0.61209035,0.0010005697,0.000053359767,0.03600067,0.001084053,0.00012442895,0.0009716035],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.8520582,0.11758721,0.012843939,0.0039998656,0.012345018,0.0011658142],"domain_scores_gemma":[0.6284736,0.30023226,0.019590497,0.013335112,0.037074916,0.0012936605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1677251,0.0009054694,0.0010988059,0.013797513,0.0030319055,0.008410921,0.0020584047,0.0012107003,0.001483454],"category_scores_gemma":[0.2549416,0.001012642,0.0022130094,0.010990752,0.0062867585,0.00857378,0.0052214605,0.0021809144,0.00039243008],"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":[0.0004176654,0.0005057221,0.035201784,0.024738163,0.000666687,0.00039686842,0.39995587,0.0024734002,0.0076117525,0.0636447,0.007396063,0.45699129],"study_design_scores_gemma":[0.0010420054,0.0015279684,0.09404491,0.05689499,0.0027820256,0.0010102602,0.46326306,0.037991982,0.022812925,0.14701748,0.1708814,0.0007310352],"about_ca_topic_score_codex":0.0033884642,"about_ca_topic_score_gemma":0.003718561,"teacher_disagreement_score":0.1677251,"about_ca_system_score_codex":0.014546683,"about_ca_system_score_gemma":0.020286268,"threshold_uncertainty_score":0.8870257},"labels":[],"label_agreement":null},{"id":"W3214733405","doi":"10.2196/31316","title":"Effects of Urban Green Space on Cardiovascular and Respiratory Biomarkers in Chinese Adults: Panel Study Using Digital Tracking Devices","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Hong Kong Polytechnic University","keywords":"Cardiorespiratory fitness; Confounding; Medicine; Environmental health; Normalized Difference Vegetation Index; Demography; Physical therapy; Internal medicine; Biology; Ecology","score_opus":0.017853538024334703,"score_gpt":0.255155925232511,"score_spread":0.2373023872081763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214733405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990532,0.00013796768,0.00016028773,0.00001915774,0.000004241023,0.000035558554,0.00044085243,0.000002460741,0.00014607313],"genre_scores_gemma":[0.99893814,0.00007568664,0.00015666867,0.000049697614,0.0000057273955,0.000047457084,0.00051907933,0.0000013118862,0.00020628754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994536,0.00014857156,0.000050900224,0.00018155327,0.00007532466,0.00009015525],"domain_scores_gemma":[0.9993117,0.00008492135,0.00018045612,0.00012425098,0.00016919836,0.00012946031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011606722,0.00070347585,0.00046705836,0.0006252349,0.00075414905,0.00046532706,0.00039481584,0.00064523955,0.0008983527],"category_scores_gemma":[0.00086271757,0.00042860233,0.0013647303,0.00080025516,0.00026505816,0.0003949742,0.0005985601,0.00041183474,0.00019865452],"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":[0.00028318315,0.00009593617,0.9973483,0.000024236599,0.0003796814,0.00004615186,0.00017857872,0.000083867635,0.0004802624,0.0000094196175,0.00009545221,0.0009748115],"study_design_scores_gemma":[0.000011014608,0.00019804704,0.99897563,0.0000043047157,0.00017274333,0.000028554765,0.00015784884,0.00023043132,0.00008938725,0.000008005643,0.00011833081,0.0000057077405],"about_ca_topic_score_codex":0.040584616,"about_ca_topic_score_gemma":0.04275339,"teacher_disagreement_score":0.040584616,"about_ca_system_score_codex":0.000562726,"about_ca_system_score_gemma":0.00056546537,"threshold_uncertainty_score":0.08069676},"labels":[],"label_agreement":null},{"id":"W3215759205","doi":"10.2196/31617","title":"Comparing the Acceptance of Mobile Hypertension Apps for Disease Management Among Patients Versus Clinical Use Among Physicians: Cross-sectional Survey","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"mHealth; eHealth; Unified theory of acceptance and use of technology; Cross-sectional study; Mediation; Health literacy; Medicine; Self-efficacy; Family medicine; Psychology; Medical prescription; Health care; Nursing; Psychological intervention; Social influence; Social psychology","score_opus":0.1785848119621542,"score_gpt":0.4697323671036855,"score_spread":0.2911475551415313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215759205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995559,0.000054139276,0.000031062184,0.00002605891,0.0000014245039,0.00002272751,0.00016720501,0.0000012555076,0.00014026236],"genre_scores_gemma":[0.99953413,0.000057337784,0.000065202876,0.000054001604,0.0000039469423,0.000035029232,0.00018389644,7.569591e-7,0.000065630345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983531,0.0005643247,0.00027072645,0.0002411085,0.0003485588,0.00022208906],"domain_scores_gemma":[0.9947031,0.0017350806,0.0020435718,0.00022919691,0.0004907225,0.00079833687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002214011,0.00023309897,0.00037841362,0.001129338,0.00042335174,0.0008129818,0.00027217768,0.0008412095,0.0016935808],"category_scores_gemma":[0.0048622694,0.0003569315,0.0006040245,0.0011620844,0.00049754535,0.0008045833,0.00077472883,0.00065257394,0.00038000388],"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":[0.00006015565,0.00018821702,0.997855,0.000026121865,0.00003615987,0.0000355006,0.000673552,0.000019558905,0.00011819289,0.000012632262,0.00006629856,0.00090875034],"study_design_scores_gemma":[0.000009638662,0.00026878508,0.99847084,0.000007045101,0.000016145927,0.00007845297,0.00089331355,0.000109862776,0.000039603176,0.000005540136,0.00009670248,0.000004128261],"about_ca_topic_score_codex":0.0035550436,"about_ca_topic_score_gemma":0.0031015584,"teacher_disagreement_score":0.0035550436,"about_ca_system_score_codex":0.0004531898,"about_ca_system_score_gemma":0.00039702439,"threshold_uncertainty_score":0.011708975},"labels":[],"label_agreement":null},{"id":"W3216718347","doi":"10.2196/31982","title":"Smartphone Ownership and Interest in Mobile Health Technologies for Self-care Among Patients With Chronic Heart Failure: Cross-sectional Survey Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"mHealth; Demographics; Medicine; Cross-sectional study; Telemedicine; Ethnic group; Health care; Population; Self-management; Family medicine; Phone; Gerontology; Medical emergency; Demography; Nursing; Psychological intervention; Environmental health","score_opus":0.053181849766665526,"score_gpt":0.40225168774284886,"score_spread":0.34906983797618335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216718347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981651,0.00013343427,0.0000671461,0.00009010911,0.000006217931,0.000054930046,0.0010361654,0.0000025907243,0.00044443828],"genre_scores_gemma":[0.9988544,0.00013043627,0.00011701668,0.00013069401,0.000010411556,0.00006321643,0.00054598687,0.000001543214,0.00014639365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999041,0.00026899067,0.00019790028,0.00013173411,0.0002238865,0.00013633877],"domain_scores_gemma":[0.99724543,0.00043717853,0.0012330412,0.00012173248,0.0004315828,0.00053110503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014133474,0.00021441701,0.00042780026,0.0008331208,0.0005085621,0.00079262553,0.0004665131,0.00063589023,0.0014865169],"category_scores_gemma":[0.0030345947,0.00040116522,0.0004796464,0.0013188664,0.0002600741,0.00092490664,0.00075765676,0.0009876668,0.00047768306],"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":[0.000019705838,0.00007034845,0.99894017,0.000018593113,0.000025474195,0.000022675375,0.00023543258,0.000008067393,0.00007386677,0.0000062726717,0.00013022372,0.000449144],"study_design_scores_gemma":[0.0000046273426,0.00012410384,0.99851686,0.0000138712485,0.000013551085,0.00010375576,0.00093332015,0.00007738688,0.000018386922,0.0000060654274,0.00018479397,0.000003393401],"about_ca_topic_score_codex":0.005998146,"about_ca_topic_score_gemma":0.009711782,"teacher_disagreement_score":0.005998146,"about_ca_system_score_codex":0.000342649,"about_ca_system_score_gemma":0.00037551697,"threshold_uncertainty_score":0.011926472},"labels":[],"label_agreement":null},{"id":"W3217673253","doi":"10.2196/24174","title":"The Impact of a Mobile App on Participation in Cardiac Rehabilitation and Understanding Barriers to Success: Comparative Cohort Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cohort; Rehabilitation; Medicine; Mobile apps; Cohort study; Physical therapy; Gerontology; Internal medicine; World Wide Web","score_opus":0.03884662546365691,"score_gpt":0.4343371808008651,"score_spread":0.39549055533720817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217673253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994203,0.00005354093,0.00003119589,0.000029420047,0.0000052789114,0.000112202695,0.000107037195,0.0000011443456,0.00023992315],"genre_scores_gemma":[0.99905723,0.000098855395,0.00012318297,0.00005883255,0.000013611563,0.0002454786,0.00014755351,0.0000020396724,0.00025330958],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99772555,0.000924226,0.00019261724,0.0003017629,0.00040216307,0.00045380677],"domain_scores_gemma":[0.99477553,0.0018302453,0.001596758,0.00040320458,0.0005346868,0.0008595474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039233044,0.0003822216,0.00043350685,0.0008115333,0.0011278851,0.001340757,0.0006611449,0.00095788465,0.003045813],"category_scores_gemma":[0.010824746,0.00043125622,0.0014116372,0.000707727,0.0005049158,0.0011012858,0.0011341063,0.001337898,0.0004560913],"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":[0.0028787644,0.006687895,0.978187,0.00011382488,0.00032251226,0.00014602335,0.0026506009,0.00006124174,0.00018839569,0.000050607556,0.00034757642,0.008365393],"study_design_scores_gemma":[0.00028590387,0.009155755,0.9863187,0.00006730818,0.00019669834,0.00013162286,0.0030093095,0.0003029479,0.00008280484,0.00003531632,0.0003872812,0.000026264266],"about_ca_topic_score_codex":0.010485014,"about_ca_topic_score_gemma":0.012321938,"teacher_disagreement_score":0.010485014,"about_ca_system_score_codex":0.0008064424,"about_ca_system_score_gemma":0.0012594237,"threshold_uncertainty_score":0.020847976},"labels":[],"label_agreement":null},{"id":"W32885785","doi":"10.2196/18101","title":"Pengantar tata hukum Indonesia / A. Siti Soetami","year":2005,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Legal Studies and Policies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Aging","keywords":"Political science","score_opus":0.020993474111633045,"score_gpt":0.3153395786688507,"score_spread":0.29434610455721766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W32885785","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059347775,0.019715417,0.0027264669,0.039463863,0.0038710576,0.00013902919,0.0019254847,0.00065167167,0.87215924],"genre_scores_gemma":[0.34746397,0.018191498,0.007753166,0.005277022,0.000689495,0.00019545475,0.0011795077,0.00040100465,0.6188489],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99977416,0.00005155562,0.000021078386,0.00004015435,0.000070823764,0.00004219307],"domain_scores_gemma":[0.99964106,0.00009611646,0.0000534127,0.000027938186,0.00009599069,0.00008546859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005476836,0.0003777292,0.00023568889,0.00061444734,0.0013725118,0.0020809725,0.00029634137,0.00090386486,0.14121112],"category_scores_gemma":[0.00082372787,0.00023044321,0.00019853826,0.0005453598,0.0005338656,0.0013769442,0.0009954647,0.0017916407,0.035285078],"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":[0.00032806487,0.0005371878,0.0112261865,0.0009617369,0.000037966234,0.0022464655,0.0024779476,0.0004316269,0.005360315,0.02856463,0.317442,0.6303858],"study_design_scores_gemma":[0.00002672806,0.00010356856,0.01924595,0.00044449966,0.000035921425,0.0029076035,0.0033743961,0.0010456364,0.0042326325,0.0041164835,0.96441656,0.000049963455],"about_ca_topic_score_codex":0.0046388907,"about_ca_topic_score_gemma":0.0057067866,"teacher_disagreement_score":0.14121112,"about_ca_system_score_codex":0.0008549881,"about_ca_system_score_gemma":0.0019577723,"threshold_uncertainty_score":0.47239828},"labels":[],"label_agreement":null},{"id":"W4205795916","doi":"10.2196/20807","title":"The potential relationship between mental health during the COVID-19 crisis and cardiovascular diseases: time to break the vicious cycle (Preprint)","year":2020,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Mental health; Disease; Pandemic; Depression (economics); Anxiety; Medicine; Virtuous circle and vicious circle; Affect (linguistics); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychiatry; Psychology; Infectious disease (medical specialty); Internal medicine; Virology; Outbreak; Economics","score_opus":0.03110128315614971,"score_gpt":0.35408428340072845,"score_spread":0.3229830002445787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205795916","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43005344,0.028105125,0.0007056754,0.5127459,0.0027547313,0.00006447055,0.0007680131,0.00004212265,0.02476047],"genre_scores_gemma":[0.9471027,0.016682157,0.0008978393,0.029965876,0.0013584944,0.000050456474,0.00020989677,0.000018463985,0.0037141829],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992968,0.00035786597,0.000026250524,0.000060030085,0.00008673052,0.00017235367],"domain_scores_gemma":[0.99639636,0.00076575676,0.0007712594,0.000059216476,0.00042463446,0.0015827842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001733103,0.00010967099,0.00023160382,0.0003944709,0.001768654,0.0024815588,0.00035934366,0.0010088043,0.00858062],"category_scores_gemma":[0.006807351,0.00014314504,0.00049680227,0.00030647297,0.0010568635,0.0014233007,0.0017893984,0.0033336212,0.00045797596],"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":[0.00034800882,0.0008568748,0.5809299,0.0010865391,0.00054879114,0.0011535911,0.026805557,0.0002201457,0.0010121875,0.018507523,0.12104766,0.24748322],"study_design_scores_gemma":[0.00004261798,0.000452453,0.88375276,0.0015963832,0.00016490184,0.0012053765,0.042149972,0.00043031966,0.00018287155,0.011760774,0.058168594,0.00009291346],"about_ca_topic_score_codex":0.012008142,"about_ca_topic_score_gemma":0.03364632,"teacher_disagreement_score":0.012008142,"about_ca_system_score_codex":0.001491849,"about_ca_system_score_gemma":0.0026186274,"threshold_uncertainty_score":0.02870506},"labels":[],"label_agreement":null},{"id":"W4206631989","doi":"10.2196/33366","title":"Factors Affecting Patient and Physician Engagement in Remote Health Care for Heart Failure: Systematic Review","year":2022,"lang":"en","type":"review","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute for Health and Care Research","keywords":"Medicine; Health care; MEDLINE; Cochrane Library; Nursing; Population; Thematic analysis; Qualitative research; Randomized controlled trial","score_opus":0.059149053496200976,"score_gpt":0.36344077659957363,"score_spread":0.30429172310337266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206631989","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004857067,0.9929153,0.00018797973,0.0003287097,0.000073213385,0.0006289724,0.0005557834,0.000008913187,0.0004441135],"genre_scores_gemma":[0.062964916,0.9331472,0.0010557929,0.00062387774,0.00006406744,0.0016230679,0.00036957097,0.0000069894313,0.0001444691],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.98799825,0.005338037,0.0037970126,0.00066239235,0.0019198753,0.00028441008],"domain_scores_gemma":[0.934638,0.051702674,0.009595367,0.0005187495,0.003007535,0.00053768023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0111091295,0.00090047886,0.0048292656,0.006918585,0.0007474942,0.0027929512,0.001574224,0.0016312142,0.0039817384],"category_scores_gemma":[0.06856668,0.0008010219,0.0069642905,0.010640813,0.0009339329,0.0025653157,0.0017616954,0.001319553,0.0001974119],"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":[0.00018109503,0.000030183106,0.0023849371,0.95394087,0.0068702013,0.000074693366,0.0008537408,0.00007204692,0.000049142698,0.00016871914,0.0010351181,0.034339115],"study_design_scores_gemma":[0.00021098893,0.00024797276,0.010774123,0.93538505,0.040370215,0.00029892605,0.0014378957,0.000083872306,0.00010735292,0.00017459765,0.010866177,0.000042912197],"about_ca_topic_score_codex":0.01054191,"about_ca_topic_score_gemma":0.030782249,"teacher_disagreement_score":0.0111091295,"about_ca_system_score_codex":0.0042389957,"about_ca_system_score_gemma":0.013504977,"threshold_uncertainty_score":0.058751404},"labels":[],"label_agreement":null},{"id":"W4206670827","doi":"10.2196/33839","title":"The Use of Mobile Apps for Heart Failure Self-management: Systematic Review of Experimental and Qualitative Studies","year":2022,"lang":"en","type":"review","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"CINAHL; PsycINFO; Medicine; Psychological intervention; Self-management; MEDLINE; Systematic review; Randomized controlled trial; Heart failure; Guideline; Nursing; Surgery; Internal medicine","score_opus":0.20921250101530553,"score_gpt":0.5531092914848263,"score_spread":0.3438967904695208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206670827","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01950795,0.9625225,0.0022709516,0.0009817153,0.0002515356,0.011064911,0.001821699,0.000025121686,0.0015536116],"genre_scores_gemma":[0.16482094,0.79339117,0.010912166,0.0018657523,0.00011690476,0.027338592,0.0008093468,0.000026819767,0.0007183286],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.97046185,0.017283028,0.007860972,0.0010297245,0.0027981966,0.0005663145],"domain_scores_gemma":[0.8762584,0.0991757,0.012747147,0.0015302231,0.009558251,0.000730367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.049374238,0.0013516229,0.006686574,0.009601917,0.0014173939,0.0025440364,0.0016937944,0.0011619533,0.005192747],"category_scores_gemma":[0.111450784,0.0011012077,0.0057594767,0.009361549,0.0017637847,0.0034625663,0.0029364384,0.0011726258,0.00030294104],"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":[0.0005271356,0.000092760696,0.0014085332,0.936311,0.004171973,0.0001542097,0.0074130157,0.000104581,0.0002826605,0.0004604137,0.0009096286,0.048164103],"study_design_scores_gemma":[0.00051435083,0.00067676714,0.004767713,0.946439,0.022399163,0.0002641888,0.010053338,0.00011139604,0.00048632224,0.0006230894,0.01358874,0.000075876735],"about_ca_topic_score_codex":0.009904285,"about_ca_topic_score_gemma":0.027635692,"teacher_disagreement_score":0.049374238,"about_ca_system_score_codex":0.0084929885,"about_ca_system_score_gemma":0.020863755,"threshold_uncertainty_score":0.26111907},"labels":[],"label_agreement":null},{"id":"W4206827048","doi":"10.2196/29035","title":"Movement as Medicine for Cardiovascular Disease Prevention: Pilot Feasibility Study of a Physical Activity Promotion Intervention for At-Risk Patients in Primary Care","year":2021,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Physical Activity and Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Motivational interviewing; Psychological intervention; Medicine; Health promotion; Family medicine; Health care; Intervention (counseling); Promotion (chess); Disease; Primary care; Nursing; Public health","score_opus":0.06782278064311541,"score_gpt":0.37516767553749236,"score_spread":0.30734489489437694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206827048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9735449,0.00007660593,0.0005385248,0.00034872672,0.000052652293,0.02454259,0.0002161519,0.000041730516,0.0006381111],"genre_scores_gemma":[0.9448645,0.00030207125,0.0077387374,0.0010904677,0.0001962633,0.044516902,0.0004672578,0.000013976012,0.00080980855],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9958735,0.0021541645,0.00023138017,0.00037685904,0.00037937783,0.000984678],"domain_scores_gemma":[0.9946601,0.0014903097,0.00037142762,0.00038691965,0.0006079402,0.0024833793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007098112,0.0012639896,0.0012808943,0.0010326874,0.002305193,0.0011336505,0.001248629,0.002063906,0.004338652],"category_scores_gemma":[0.0065962113,0.0010546794,0.0013402369,0.0005603312,0.0012173483,0.0012034499,0.0014908527,0.0021112515,0.00080866285],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.04602399,0.811621,0.048563637,0.0009766354,0.0003594472,0.0008984608,0.005552961,0.00064074085,0.0060624736,0.00013518162,0.0017580685,0.077407435],"study_design_scores_gemma":[0.08580161,0.7663197,0.14352137,0.000078263685,0.00018484784,0.00013447518,0.0013894031,0.0005811824,0.0006285935,0.000093714654,0.0012275393,0.000039279024],"about_ca_topic_score_codex":0.0068792803,"about_ca_topic_score_gemma":0.015905788,"teacher_disagreement_score":0.007098112,"about_ca_system_score_codex":0.0019119113,"about_ca_system_score_gemma":0.007382499,"threshold_uncertainty_score":0.037538826},"labels":[],"label_agreement":null},{"id":"W4213055659","doi":"10.2196/29473","title":"A Preoperative Virtual Reality App for Patients Scheduled for Cardiac Catheterization: Pre–Post Questionnaire Study Examining Feasibility, Usability, and Acceptability","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Music Therapy and Health","field":"Psychology","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Cardiac catheterization; Anxiety; Usability; Physical therapy; Virtual reality; Emergency medicine; Internal medicine; Psychiatry","score_opus":0.059716282548474296,"score_gpt":0.3867334433059465,"score_spread":0.3270171607574722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213055659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992644,0.000027060105,0.00015702848,0.000032355616,0.000007541781,0.00021927792,0.00005434543,0.0000066363873,0.00023150691],"genre_scores_gemma":[0.9978605,0.00008131067,0.0009683661,0.0000859659,0.000011748829,0.00040929343,0.000081552105,0.0000044617045,0.00049685704],"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9987237,0.0005430475,0.00014057406,0.00011040806,0.00024406676,0.0002381723],"domain_scores_gemma":[0.99328244,0.002986202,0.00078286714,0.00028499635,0.0015780234,0.0010854377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036691257,0.0004696059,0.0006000126,0.0004285927,0.0005503425,0.00065134926,0.00027638205,0.0004980685,0.0023934813],"category_scores_gemma":[0.0101076,0.00032447392,0.00090263237,0.00017979229,0.00038320097,0.00056366273,0.00068462826,0.00090138055,0.00040344385],"study_design_candidate":"nonrandomized_trial","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":[0.0044657043,0.027647711,0.76935506,0.0010197475,0.00035603732,0.0015362246,0.062485855,0.0006614047,0.017426923,0.00012968875,0.002744062,0.11217158],"study_design_scores_gemma":[0.0003236853,0.054129858,0.9105609,0.00009070817,0.0002430022,0.0008154538,0.025342345,0.0013337416,0.0031406886,0.00005787225,0.0038321672,0.00012961772],"about_ca_topic_score_codex":0.0007562321,"about_ca_topic_score_gemma":0.0015281781,"teacher_disagreement_score":0.0036691257,"about_ca_system_score_codex":0.00033966833,"about_ca_system_score_gemma":0.00055918144,"threshold_uncertainty_score":0.019404411},"labels":[],"label_agreement":null},{"id":"W4213214829","doi":"10.2196/33286","title":"Developing and Implementing an mHealth Heart Failure Self-care Program to Reduce Readmissions: Randomized Controlled Trial","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Center for Advancing Translational Sciences; Agency for Healthcare Research and Quality","keywords":"mHealth; Medicine; Randomized controlled trial; Quality of life (healthcare); Attrition; Telemedicine; Self-management; Clinical trial; Health care; Physical therapy; Emergency medicine; Psychological intervention; Nursing; Internal medicine","score_opus":0.026258051499749347,"score_gpt":0.36628900807526293,"score_spread":0.3400309565755136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213214829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92953527,0.01287148,0.0015794615,0.002029879,0.0028169006,0.04506078,0.0020308595,0.0003702684,0.0037050983],"genre_scores_gemma":[0.9162249,0.007126507,0.005325114,0.0026236963,0.0019768996,0.061712094,0.0011064968,0.00002733202,0.0038769466],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99792,0.0010152063,0.00026896287,0.00035846175,0.0001756023,0.0002618364],"domain_scores_gemma":[0.99814963,0.00060939585,0.0004563794,0.00013877229,0.0001687214,0.0004771592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033155286,0.0015430262,0.004362415,0.0008091392,0.0009981167,0.0017841528,0.0014289967,0.003443166,0.010068681],"category_scores_gemma":[0.0047642826,0.00088014494,0.0035532268,0.0007673578,0.0014597129,0.0016257315,0.00093129656,0.0032021864,0.0008727534],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9608114,0.019421233,0.0005692458,0.0026947272,0.0023412665,0.000028701857,0.0000621453,0.00016689797,0.0004100884,0.00010949747,0.00059012085,0.012794742],"study_design_scores_gemma":[0.97701526,0.021013204,0.000764451,0.00012000219,0.0006634205,0.0000047407366,0.000017756034,0.000115747665,0.00006316764,0.000050190843,0.00016594357,0.0000061668507],"about_ca_topic_score_codex":0.0029437477,"about_ca_topic_score_gemma":0.0048103533,"teacher_disagreement_score":0.010068681,"about_ca_system_score_codex":0.0013057645,"about_ca_system_score_gemma":0.0027762663,"threshold_uncertainty_score":0.03368312},"labels":[],"label_agreement":null},{"id":"W4220684562","doi":"10.2196/34647","title":"Using Caution When Interpreting Gender-Based Relative Risk. Comment on “The Effect of Cardiovascular Comorbidities on Women Compared to Men: Longitudinal Retrospective Analysis”","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Internal medicine","score_opus":0.0758684696059312,"score_gpt":0.34038107616310903,"score_spread":0.26451260655717784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220684562","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008923162,0.0047278814,0.0032669874,0.9034773,0.08279687,0.00011394346,0.0021018565,0.00043547884,0.002187468],"genre_scores_gemma":[0.005095265,0.00090756896,0.002866971,0.95943964,0.029558087,0.00025816573,0.0001951473,0.00014105576,0.0015381665],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.92420685,0.034885187,0.016645044,0.007144162,0.01487766,0.0022409915],"domain_scores_gemma":[0.6534299,0.2547674,0.016984617,0.012777641,0.057822973,0.0042175306],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08186897,0.002230299,0.0029224826,0.0042817667,0.0030666515,0.0044397954,0.009937554,0.028418088,0.009174741],"category_scores_gemma":[0.43436447,0.002169731,0.006396804,0.004960282,0.007367384,0.007509685,0.0035725047,0.04755125,0.007718595],"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":[0.00018121825,0.000020968055,0.0025053509,0.00066412677,0.0003130681,0.00035357955,0.0005757619,0.00013421557,0.00017495199,0.0038821697,0.9836557,0.007538832],"study_design_scores_gemma":[0.0005467055,0.00019914287,0.012035467,0.005690471,0.0007696046,0.0019040833,0.0018107145,0.0016301528,0.0025903555,0.031202223,0.94111615,0.0005048596],"about_ca_topic_score_codex":0.028484851,"about_ca_topic_score_gemma":0.027390296,"teacher_disagreement_score":0.91813105,"about_ca_system_score_codex":0.0038006178,"about_ca_system_score_gemma":0.005957473,"threshold_uncertainty_score":0.4329697},"labels":[],"label_agreement":null},{"id":"W4220719201","doi":"10.2196/36801","title":"Authors’ Reply to: Using Caution When Interpreting Gender-Based Relative Risk. Comment on “The Effect of Cardiovascular Comorbidities on Women Compared to Men: Longitudinal Retrospective Analysis”","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Longitudinal data; Gerontology; Demography; Sociology","score_opus":0.06375043870932193,"score_gpt":0.3383248521569153,"score_spread":0.27457441344759337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220719201","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00026236867,0.00079351506,0.0002754098,0.9392743,0.058287486,0.000021199341,0.00046549243,0.000096825934,0.0005234331],"genre_scores_gemma":[0.001544454,0.00035982754,0.00032291052,0.9693786,0.026977353,0.000069946735,0.00006678299,0.000046531117,0.0012335759],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9864016,0.0041734255,0.0031182887,0.0017896983,0.0033854076,0.0011315335],"domain_scores_gemma":[0.90634537,0.055731647,0.0063166893,0.0032524725,0.024843844,0.0035100013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017982647,0.0015393595,0.0024768845,0.0021827954,0.0036134766,0.0041895285,0.004853818,0.042625774,0.011536782],"category_scores_gemma":[0.19512999,0.0018067971,0.0031192077,0.002653385,0.0054510687,0.00521525,0.00323451,0.051858973,0.01245262],"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":[0.00006062915,0.0000099875515,0.0006098815,0.00011437454,0.000035463017,0.00018093549,0.00014137574,0.000042256434,0.0000714724,0.00067354675,0.99611723,0.0019427851],"study_design_scores_gemma":[0.00026049593,0.000102025784,0.004330234,0.0013994025,0.00017714492,0.0014027116,0.001121746,0.0005737643,0.0010474091,0.009249644,0.9800102,0.0003251064],"about_ca_topic_score_codex":0.015192359,"about_ca_topic_score_gemma":0.01424956,"teacher_disagreement_score":0.042625774,"about_ca_system_score_codex":0.0038186584,"about_ca_system_score_gemma":0.0069436315,"threshold_uncertainty_score":0.09510249},"labels":[],"label_agreement":null},{"id":"W4220770140","doi":"10.2196/34946","title":"Changes in Blood Lipid Levels After a Digitally Enabled Cardiometabolic Preventive Health Program: Pre-Post Study in an Adult Dutch General Population Cohort","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Dyslipidemia; Health coaching; Population; Context (archaeology); Psychological intervention; Physical therapy; Environmental health; Gerontology; Internal medicine; Obesity; Randomized controlled trial; Nursing; Biology","score_opus":0.029304367026202264,"score_gpt":0.4086566169868076,"score_spread":0.37935224996060535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220770140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984444,0.00012421205,0.000075879645,0.000029863933,0.0000068515765,0.00004711668,0.0009003793,0.00000187477,0.00036940025],"genre_scores_gemma":[0.9976701,0.00012891885,0.00013869793,0.000061727886,0.000008972378,0.00006916077,0.0010753955,0.0000026477894,0.0008444712],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994704,0.00010144044,0.00005684066,0.00016872969,0.000088807785,0.00011385335],"domain_scores_gemma":[0.9993538,0.000056384004,0.00020977168,0.00006179746,0.000110068846,0.00020814042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006612297,0.0002712795,0.00038102028,0.0004422309,0.0005070299,0.00075034366,0.00038311718,0.0005328051,0.0018000313],"category_scores_gemma":[0.0012612921,0.00040251497,0.000547935,0.0009618051,0.00028029966,0.0005494344,0.00054679555,0.0005248177,0.00035114924],"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":[0.00025978757,0.00022213966,0.9974118,0.000020081176,0.00007619058,0.0001024879,0.00022799667,0.000015177419,0.00023527244,0.000010015039,0.00015107563,0.0012679257],"study_design_scores_gemma":[0.000020537682,0.00020810761,0.99906486,0.0000052658374,0.000031313477,0.00005176312,0.00032470672,0.00004348669,0.000024373358,0.0000049530895,0.00021795019,0.000002760419],"about_ca_topic_score_codex":0.07221432,"about_ca_topic_score_gemma":0.07664638,"teacher_disagreement_score":0.07221432,"about_ca_system_score_codex":0.00085344,"about_ca_system_score_gemma":0.0006203868,"threshold_uncertainty_score":0.14358795},"labels":[],"label_agreement":null},{"id":"W4221120207","doi":"10.2196/31501","title":"The Effect of Wearable Tracking Devices on Cardiorespiratory Fitness Among Inactive Adults: Crossover Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Physical Activity and Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Interreg; European Regional Development Fund; H. Lundbeck A/S; Lundbeckfonden; European Commission","keywords":"Cardiorespiratory fitness; Crossover; Wearable computer; Crossover study; Tracking (education); Wearable technology; Computer science; Activity tracker; Physical medicine and rehabilitation; Medicine; Psychology; Physical therapy; Embedded system; Artificial intelligence","score_opus":0.01654418791117563,"score_gpt":0.3193840682982022,"score_spread":0.3028398803870266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221120207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975647,0.0003337036,0.00026171922,0.000027138149,0.00006602295,0.0012614498,0.00018040868,0.00001307462,0.00029185193],"genre_scores_gemma":[0.99460274,0.000406143,0.0008870094,0.00015454486,0.00014017626,0.0020868194,0.00053131004,0.00000866093,0.0011826758],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9976599,0.0010282284,0.00025257707,0.00043711276,0.00033105997,0.0002909971],"domain_scores_gemma":[0.99620867,0.0008720685,0.0007734105,0.00080778584,0.0004902832,0.0008477759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049229497,0.0014551537,0.0020405885,0.0006617977,0.0014293172,0.0010402189,0.00057100866,0.0016449076,0.002701478],"category_scores_gemma":[0.0046074414,0.000942889,0.0024327382,0.0006358718,0.00092058856,0.0010127645,0.0007965067,0.0019152573,0.00063314894],"study_design_candidate":"nonrandomized_trial","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":[0.55162627,0.26182222,0.13755356,0.0009268979,0.0049828975,0.00033706328,0.0019171634,0.00033003627,0.009479832,0.00009603783,0.0010185824,0.029909454],"study_design_scores_gemma":[0.09154659,0.60602134,0.2968842,0.00009189879,0.0020815053,0.00012077473,0.00043172608,0.00032944736,0.0011019729,0.00008162851,0.001242049,0.000066803615],"about_ca_topic_score_codex":0.003586984,"about_ca_topic_score_gemma":0.004155297,"teacher_disagreement_score":0.0049229497,"about_ca_system_score_codex":0.0006151171,"about_ca_system_score_gemma":0.0010598439,"threshold_uncertainty_score":0.026035368},"labels":[],"label_agreement":null},{"id":"W4221131583","doi":"10.2196/35490","title":"The Impact of Transitioning From In-Person to Virtual Heart Transplantation Selection Committee Meetings: Observational Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Conferences and Exhibitions Management","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Videoconferencing; Medicine; Observational study; Selection (genetic algorithm); Family medicine; Usability; Nursing; Multimedia; Internal medicine","score_opus":0.06615398115674287,"score_gpt":0.35422390207509297,"score_spread":0.2880699209183501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221131583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999476,0.00006573139,0.00004289981,0.00005088113,0.0000062503705,0.00004578474,0.00007821198,0.000002222108,0.00023212993],"genre_scores_gemma":[0.999423,0.000063906715,0.00009571875,0.00008964725,0.000012069898,0.00007670759,0.00013328972,0.0000019279962,0.0001038011],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971366,0.0013239707,0.00035552957,0.00028506728,0.00037875318,0.0005201226],"domain_scores_gemma":[0.9883008,0.0026436632,0.0048369225,0.00046127615,0.00070909975,0.003048275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036953976,0.00025847644,0.00040220408,0.0005866694,0.0012255394,0.0011478383,0.00049697777,0.00077138,0.0020396488],"category_scores_gemma":[0.012719096,0.00028663976,0.0008154615,0.0005742613,0.00047273366,0.0009813145,0.0012304942,0.0015934501,0.0003190028],"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":[0.0008276973,0.0026451414,0.98553514,0.00008972089,0.000110207126,0.00018082905,0.0028749616,0.00007610701,0.00020042082,0.00001978222,0.0005419525,0.006898053],"study_design_scores_gemma":[0.00009551216,0.0035735313,0.9890484,0.000050070543,0.00005809143,0.00021551581,0.0059519503,0.00027569127,0.00009753623,0.000024286675,0.00058526924,0.000024256444],"about_ca_topic_score_codex":0.005305205,"about_ca_topic_score_gemma":0.0064456807,"teacher_disagreement_score":0.005305205,"about_ca_system_score_codex":0.0009134549,"about_ca_system_score_gemma":0.0012632416,"threshold_uncertainty_score":0.01954335},"labels":[],"label_agreement":null},{"id":"W4224218697","doi":"10.2196/34142","title":"The Impact of Health Literacy–Sensitive Design and Heart Age in a Cardiovascular Disease Prevention Decision Aid: Randomized Controlled Trial and End-User Testing","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Health literacy; Literacy; Medicine; Randomized controlled trial; Gerontology; Psychology; Health care; Surgery","score_opus":0.05239632267236129,"score_gpt":0.44009493573676156,"score_spread":0.3876986130644003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224218697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9184833,0.0008436682,0.0030613462,0.00043776442,0.00069573,0.07362315,0.00064767146,0.00020331026,0.002004055],"genre_scores_gemma":[0.85090613,0.0004174393,0.015386353,0.0008490614,0.00051257847,0.1294735,0.0004125313,0.000032929187,0.0020095126],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9745014,0.019147398,0.0021037315,0.0015861908,0.0014063349,0.0012550243],"domain_scores_gemma":[0.9775534,0.01308761,0.004125489,0.0019768495,0.0014506052,0.0018059633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019239672,0.0025457297,0.0035813148,0.0012966167,0.0010249253,0.0017240668,0.0018583039,0.004922235,0.0068951533],"category_scores_gemma":[0.025615683,0.0012272566,0.0038152568,0.0009910252,0.0028489097,0.002643299,0.0016488339,0.003315516,0.0007750582],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.94932985,0.036954213,0.001517128,0.00073180505,0.0009892506,0.000026667209,0.000264487,0.0004000057,0.00064963906,0.00024106678,0.00027396483,0.008621961],"study_design_scores_gemma":[0.78930163,0.20394218,0.003150264,0.00007249409,0.00086897635,0.000011878705,0.000064335014,0.0011121613,0.0006079664,0.00031913116,0.0005209164,0.000028031123],"about_ca_topic_score_codex":0.0011539118,"about_ca_topic_score_gemma":0.0013236898,"teacher_disagreement_score":0.019239672,"about_ca_system_score_codex":0.0017301101,"about_ca_system_score_gemma":0.0024684714,"threshold_uncertainty_score":0.101750374},"labels":[],"label_agreement":null},{"id":"W4224262452","doi":"10.2196/33992","title":"Use of Mobile Apps in Heart Failure Self-management: Qualitative Study Exploring the Patient and Primary Care Clinician Perspective","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Qualitative research; Medicine; Perspective (graphical); Psychology; Medical education; Nursing; Computer science","score_opus":0.07996794808296465,"score_gpt":0.4371709663834438,"score_spread":0.3572030183004792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224262452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98761624,0.0016765752,0.002387327,0.004035876,0.000110345296,0.0004180456,0.00016790048,0.000023472236,0.0035641375],"genre_scores_gemma":[0.9928845,0.0013825443,0.001422986,0.0021827724,0.000040329585,0.00044623116,0.000058516245,0.000020424555,0.0015616107],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.98850006,0.008685568,0.00040085975,0.0006073496,0.00062080595,0.001185406],"domain_scores_gemma":[0.97068375,0.023775123,0.0014165335,0.00042654577,0.0016174003,0.0020805616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011320685,0.0005697794,0.0009944334,0.0013117397,0.008265201,0.0037473284,0.0015755204,0.0023716062,0.0029025795],"category_scores_gemma":[0.01887532,0.00083537836,0.00054614915,0.0012351895,0.0061654556,0.003317067,0.004636832,0.002896734,0.0004270485],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003469892,0.00007655354,0.0022149137,0.00021052756,0.000005374113,0.001153817,0.9923976,0.0000182622,0.0005852968,0.00028163777,0.0004057255,0.0026155692],"study_design_scores_gemma":[0.00000939743,0.00010082804,0.0012798093,0.0002642031,0.0000065048303,0.0006057337,0.9931391,0.00007169223,0.00019351424,0.00012280703,0.0041933046,0.000013114553],"about_ca_topic_score_codex":0.0050725713,"about_ca_topic_score_gemma":0.009490396,"teacher_disagreement_score":0.011320685,"about_ca_system_score_codex":0.0038001344,"about_ca_system_score_gemma":0.004697623,"threshold_uncertainty_score":0.059870183},"labels":[],"label_agreement":null},{"id":"W4224324236","doi":"10.2196/30661","title":"Physical Activity in Patients With Heart Failure During and After COVID-19 Lockdown: Single-Center Observational Retrospective Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Physical Activity and Health","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Heart failure; Retrospective cohort study; Observational study; Physical activity; Single Center; Coronavirus disease 2019 (COVID-19); Emergency medicine; Internal medicine; Physical therapy; Cardiology; Disease","score_opus":0.031050096116627957,"score_gpt":0.3002354910083873,"score_spread":0.26918539489175936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224324236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993129,0.00018949594,0.000062821346,0.000011131527,0.000004713983,0.000020530832,0.0002450172,0.0000019265249,0.00015143101],"genre_scores_gemma":[0.99929845,0.000090410205,0.000057569978,0.000029262905,0.000018732544,0.000024300552,0.00043802592,0.0000016262572,0.000041664418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911124,0.00020009193,0.00013083949,0.00026574722,0.00014011537,0.00015195852],"domain_scores_gemma":[0.9979153,0.0003564471,0.00094970467,0.00018240974,0.0001394708,0.00045678017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007346656,0.0004036177,0.000880548,0.0012355956,0.0005919365,0.0007521126,0.0005116735,0.0007740769,0.00084164535],"category_scores_gemma":[0.0017901916,0.00040218895,0.0006913768,0.0014588381,0.0004909154,0.0007205029,0.0007213105,0.00070161524,0.00021167778],"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":[0.00009295417,0.00003824401,0.99941707,0.0000071163836,0.000023470175,0.000058130474,0.000037633967,0.0000114331715,0.00007739853,0.0000026892305,0.000018994877,0.00021496518],"study_design_scores_gemma":[0.000011680242,0.00035187334,0.9989924,0.000005533259,0.000022439146,0.0002582364,0.00017675056,0.00007226162,0.000024252276,0.000004962598,0.00007522688,0.000004379293],"about_ca_topic_score_codex":0.0037964496,"about_ca_topic_score_gemma":0.0034403035,"teacher_disagreement_score":0.0037964496,"about_ca_system_score_codex":0.00035592384,"about_ca_system_score_gemma":0.00039462678,"threshold_uncertainty_score":0.0075487494},"labels":[],"label_agreement":null},{"id":"W4224993661","doi":"10.2196/32348","title":"Relations Between BMI Trajectories and Habitual Physical Activity Measured by a Smartwatch in the Electronic Cohort of the Framingham Heart Study: Cohort Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Physical Activity and Health","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Aging; American Heart Association; National Heart, Lung, and Blood Institute; Robert Wood Johnson Foundation","keywords":"Medicine; Framingham Heart Study; Cohort; Demography; Smartwatch; Cohort study; Framingham Risk Score; Body mass index; Obesity; Gerontology; Physical therapy; Internal medicine; Disease","score_opus":0.023630368152687056,"score_gpt":0.31501785192468396,"score_spread":0.2913874837719969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224993661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984114,0.000131405,0.00024170091,0.000035887006,0.000008972069,0.000015077133,0.00093703053,0.0000050830445,0.00021336887],"genre_scores_gemma":[0.9981223,0.00010016292,0.0002970136,0.000032788623,0.00001325665,0.00003070932,0.0011075643,0.0000033906238,0.0002928654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953675,0.00012397557,0.000035738925,0.00012254872,0.0000891987,0.00009170041],"domain_scores_gemma":[0.9986084,0.0002026028,0.0003937665,0.00035133382,0.0002550653,0.00018873962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017642245,0.00034678847,0.0003176529,0.000568211,0.00049585674,0.000639164,0.000381649,0.00047823158,0.0013439903],"category_scores_gemma":[0.0029510679,0.00034503127,0.00060111994,0.0008455318,0.0001586875,0.00039663794,0.0005667031,0.0006005215,0.00020947444],"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":[0.00017659324,0.00003148041,0.9981517,0.0000054256834,0.00011424366,0.000037034948,0.000108844404,0.00003296483,0.0001260627,0.000022053735,0.00018419037,0.001009295],"study_design_scores_gemma":[0.0000075179573,0.00003818276,0.9995003,0.000004551313,0.000037654983,0.000039859795,0.00007585753,0.00013887606,0.000021214588,0.000014776845,0.0001183933,0.0000027787332],"about_ca_topic_score_codex":0.020710193,"about_ca_topic_score_gemma":0.024065023,"teacher_disagreement_score":0.020710193,"about_ca_system_score_codex":0.0002663788,"about_ca_system_score_gemma":0.00034304286,"threshold_uncertainty_score":0.0411793},"labels":[],"label_agreement":null},{"id":"W4226307367","doi":"10.2196/37360","title":"Frameworks for Implementation, Uptake, and Use of Cardiometabolic Disease–Related Digital Health Interventions in Ethnic Minority Populations: Scoping Review","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"NIHR Leicester Biomedical Research Centre; Department of Health and Social Care; National Institute for Health and Care Research","keywords":"Psychological intervention; Health equity; Ethnic group; Health care; Digital health; Inequality; Medicine; Gerontology; Public health; Sociology; Political science; Nursing","score_opus":0.1651825253918032,"score_gpt":0.5074429961329011,"score_spread":0.3422604707410979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226307367","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013607801,0.97843355,0.003828043,0.0060481043,0.0007805108,0.0030621393,0.0007835379,0.00006758182,0.0056357626],"genre_scores_gemma":[0.027169509,0.9517734,0.010687214,0.002368916,0.00022700497,0.00653554,0.0007436052,0.000038906815,0.00045592774],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9398753,0.028566059,0.01750358,0.0026982322,0.009778721,0.0015781423],"domain_scores_gemma":[0.7666909,0.18954994,0.01898972,0.0044888495,0.018903991,0.0013765233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09444348,0.0032171556,0.0069736484,0.029403336,0.0028029734,0.012290478,0.0064855036,0.0056780917,0.006452127],"category_scores_gemma":[0.30022413,0.0023536594,0.012361224,0.023213299,0.0037698755,0.010636412,0.007958873,0.00497061,0.00087106513],"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":[0.00010199556,0.00008093992,0.001541425,0.7426234,0.0030134828,0.00012199101,0.0037224328,0.0013247437,0.0000945322,0.017943822,0.006582585,0.22284867],"study_design_scores_gemma":[0.000038134578,0.000030711068,0.00068153645,0.9676289,0.0036540919,0.000051301056,0.0010753834,0.0002069273,0.00007813336,0.002540351,0.023983765,0.00003081278],"about_ca_topic_score_codex":0.030665755,"about_ca_topic_score_gemma":0.042734798,"teacher_disagreement_score":0.09444348,"about_ca_system_score_codex":0.023718901,"about_ca_system_score_gemma":0.08149073,"threshold_uncertainty_score":0.49947083},"labels":[],"label_agreement":null},{"id":"W4245403270","doi":"10.2196/29481","title":"Smartphone Apps for Managing Antithrombotic Therapy: Scoping Literature Review","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Antithrombotic; Medicine; Guideline; MEDLINE; Internal medicine","score_opus":0.05883593688600531,"score_gpt":0.44977219267059937,"score_spread":0.39093625578459407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245403270","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00067199144,0.99627006,0.00031732002,0.00056265766,0.00020825346,0.0004179778,0.00030988836,0.000012549112,0.001229418],"genre_scores_gemma":[0.0039449697,0.9939295,0.0007975543,0.00035808832,0.00010128574,0.0005316654,0.00018147717,0.000005771255,0.00014969561],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99273103,0.002177735,0.0028194704,0.0004282432,0.0016082424,0.00023519606],"domain_scores_gemma":[0.9400671,0.04831088,0.005394488,0.0006169491,0.0052273083,0.00038336642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009583841,0.001573008,0.0033964026,0.019357808,0.0011822353,0.0038103305,0.0018965526,0.002778086,0.007343035],"category_scores_gemma":[0.049115285,0.00090124016,0.0042059487,0.014667305,0.0011695854,0.003335049,0.0025415428,0.0017491949,0.0010363553],"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":[0.000085561165,0.000049151495,0.00055137306,0.801122,0.0007901083,0.00014400143,0.0009159964,0.0001123559,0.0001768871,0.00080925296,0.004713219,0.19053009],"study_design_scores_gemma":[0.000019978863,0.000056078457,0.0009972033,0.9654026,0.0028324453,0.00021508268,0.0004904523,0.000050672912,0.00008193482,0.00029126785,0.029547788,0.000014546623],"about_ca_topic_score_codex":0.005672713,"about_ca_topic_score_gemma":0.012115665,"teacher_disagreement_score":0.019357808,"about_ca_system_score_codex":0.0027078227,"about_ca_system_score_gemma":0.013961492,"threshold_uncertainty_score":0.05068481},"labels":[],"label_agreement":null},{"id":"W4248782269","doi":"10.2196/25624","title":"Correction: Using an Electronic App to Promote Home-Based Self-Care in Older Patients With Heart Failure: Qualitative Study on Patient and Informal Caregiver Challenges","year":2020,"lang":"en","type":"erratum","venue":"JMIR Cardio","topic":"Nursing care and research","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Impact; Canada Health Infoway; McMaster University; Public Health Ontario; University of Toronto; University Health Network","funders":"McMaster University","keywords":"Qualitative research; Gerontology; Self care; Heart failure; Psychology; Medicine; Nursing; Sociology; Health care; Internal medicine; Political science","score_opus":0.03538014852609541,"score_gpt":0.4019674031822465,"score_spread":0.3665872546561511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248782269","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00033241496,0.0007557116,0.0005080469,0.30586845,0.6885977,0.00007002356,0.00095153286,0.00021444727,0.0027016783],"genre_scores_gemma":[0.017994586,0.006719414,0.003768761,0.6482645,0.17209555,0.0013418797,0.0010740804,0.0013505109,0.14739066],"study_design_codex":"not_applicable","study_design_gemma":"qualitative","domain_scores_codex":[0.9865183,0.0035348674,0.002664539,0.0011276818,0.0049426374,0.0012120623],"domain_scores_gemma":[0.8955632,0.04236472,0.0050392575,0.0035666751,0.048515942,0.004950162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01065972,0.0019542796,0.0018037416,0.0025371644,0.007921152,0.005717937,0.0044288575,0.016164532,0.037563667],"category_scores_gemma":[0.18036924,0.0009524526,0.0015385433,0.0023035947,0.0047088373,0.0037908433,0.0044198805,0.020443885,0.018976554],"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":[0.000015048237,0.0000065596523,0.00007765848,0.00017284189,0.0000049725813,0.00023849313,0.00034999565,0.000011626813,0.000014466685,0.00036649348,0.99623567,0.0025062691],"study_design_scores_gemma":[0.000079839214,0.000048872593,0.001170143,0.002682023,0.00006112862,0.0011554362,0.003541246,0.00019781115,0.00023349389,0.0014312868,0.98930746,0.00009129436],"about_ca_topic_score_codex":0.053939063,"about_ca_topic_score_gemma":0.055943042,"teacher_disagreement_score":0.053939063,"about_ca_system_score_codex":0.0081055295,"about_ca_system_score_gemma":0.020351196,"threshold_uncertainty_score":0.12566292},"labels":[],"label_agreement":null},{"id":"W4281765801","doi":"10.2196/37437","title":"Digital Health Solutions to Reduce the Burden of Atherosclerotic Cardiovascular Disease Proposed by the CARRIER Consortium","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"eHealth; Digital health; Psychological intervention; Disease burden; Health care; Cardiovascular health; Medicine; Disease; Big data; Public health; Computer science; Nursing; Political science; Data mining; Pathology","score_opus":0.0352791092504522,"score_gpt":0.27269492452137073,"score_spread":0.23741581527091854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281765801","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03182707,0.0068889083,0.31268975,0.45793828,0.003993671,0.0045027607,0.001306344,0.0016099798,0.17924322],"genre_scores_gemma":[0.27133757,0.0109220985,0.5822068,0.039946306,0.001020069,0.005693703,0.0024909128,0.00051701954,0.08586551],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9721192,0.018685808,0.0012268098,0.001516265,0.005463343,0.0009886738],"domain_scores_gemma":[0.9789053,0.007223348,0.0013612317,0.0025981457,0.0068640914,0.003047786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03536562,0.0009319764,0.00041552563,0.0022507333,0.002651159,0.010153998,0.0022173885,0.0049787136,0.006732084],"category_scores_gemma":[0.04268027,0.000370666,0.0010254161,0.0020130493,0.004393715,0.00792643,0.009940942,0.003534321,0.0014153032],"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":[0.00014032896,0.00039074937,0.0027033708,0.0006234848,0.00004961223,0.00038577567,0.003439726,0.0038941442,0.0014690657,0.72496945,0.09066217,0.17127214],"study_design_scores_gemma":[0.0002740367,0.00038689436,0.0015254818,0.0011906256,0.00008537039,0.00045008646,0.0030697095,0.012758733,0.0034439003,0.15559866,0.8210901,0.00012642654],"about_ca_topic_score_codex":0.018093877,"about_ca_topic_score_gemma":0.012606008,"teacher_disagreement_score":0.03536562,"about_ca_system_score_codex":0.0058413255,"about_ca_system_score_gemma":0.034576267,"threshold_uncertainty_score":0.18703353},"labels":[],"label_agreement":null},{"id":"W4281812761","doi":"10.2196/37490","title":"Use of Digital Technology Tools to Characterize Adherence to Prescription-Grade Omega-3 Polyunsaturated Fatty Acid Therapy in Postmyocardial or Hypertriglyceridemic Patients in the DIAPAsOn Study: Prospective Observational Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Pirogov Russian National Research Medical University; Abbott Laboratories","keywords":"Medicine; Observational study; Internal medicine; Hypertriglyceridemia; Triglyceride; Medical prescription; Cholesterol; Pharmacology","score_opus":0.17460969021359193,"score_gpt":0.3471539936203708,"score_spread":0.17254430340677887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281812761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99841666,0.00023093095,0.00011276883,0.00002838797,0.000007169319,0.00009598344,0.00067613315,0.0000035779155,0.00042849398],"genre_scores_gemma":[0.9979948,0.00016265723,0.0003726391,0.00004806108,0.000015329897,0.00016121376,0.0009970794,0.0000028121597,0.00024547376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863666,0.00060582295,0.00019937208,0.00021223149,0.00021559297,0.00013029993],"domain_scores_gemma":[0.9969008,0.00055347115,0.0014309885,0.00034279263,0.0003982688,0.00037380157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023037079,0.0005674455,0.00053912826,0.001063791,0.00045729085,0.0009970526,0.0006157359,0.0009988752,0.0009584329],"category_scores_gemma":[0.0042151236,0.0004968885,0.0011583009,0.0014325748,0.0002725358,0.0006839155,0.00070630666,0.0010617949,0.00036882548],"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":[0.0006898078,0.0002733071,0.99726164,0.000023797962,0.00018377745,0.000018593018,0.000118240954,0.00002318239,0.00008397839,0.00000804794,0.0000805865,0.0012349618],"study_design_scores_gemma":[0.00014519917,0.00080716645,0.99810696,0.000012568523,0.0001284998,0.00007270556,0.00022032384,0.00024176504,0.000060774015,0.000012084782,0.00018336733,0.000008583756],"about_ca_topic_score_codex":0.0044231736,"about_ca_topic_score_gemma":0.0046874587,"teacher_disagreement_score":0.0044231736,"about_ca_system_score_codex":0.00041654432,"about_ca_system_score_gemma":0.00045664748,"threshold_uncertainty_score":0.012183309},"labels":[],"label_agreement":null},{"id":"W4282912736","doi":"10.2196/35615","title":"Surveillance of Arrhythmia in Patients After Myocardial Infarction Using Wearable Electrocardiogram Patch Devices: Prospective Cohort Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Internal medicine; Myocardial infarction; Cardiology; Atrial fibrillation; Ventricular tachycardia; Prospective cohort study; Electrocardiography; Tachycardia; Incidence (geometry)","score_opus":0.00656161697938004,"score_gpt":0.25772251985744393,"score_spread":0.2511609028780639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282912736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990221,0.0002315952,0.00010331296,0.000019876934,0.000009205365,0.00004237037,0.0003469177,0.0000027014703,0.00022185862],"genre_scores_gemma":[0.9990827,0.00015902883,0.00011672106,0.000044426917,0.000018759425,0.000037302663,0.00045529232,0.0000026475107,0.000083065424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888605,0.00026358129,0.00014810578,0.00035559104,0.00020485176,0.00014179641],"domain_scores_gemma":[0.9977469,0.0003115668,0.00097320636,0.00034026435,0.00026796645,0.00036012533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013171228,0.00046170398,0.000569027,0.0009357691,0.0006213555,0.0010133442,0.0005256675,0.0007925602,0.0011465302],"category_scores_gemma":[0.0026123493,0.0005810944,0.0009717525,0.0013996023,0.00030748587,0.00083047984,0.0005827162,0.00095081516,0.00030432013],"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":[0.00023807398,0.000067467096,0.998898,0.000010242194,0.000119176526,0.00004503665,0.00004510796,0.000010621855,0.00013573962,0.000006347198,0.000039829396,0.00038435927],"study_design_scores_gemma":[0.000042299722,0.000446108,0.9987155,0.000009672235,0.0001217019,0.00024940548,0.00014720527,0.000106904714,0.000037410166,0.000010624959,0.00010697346,0.000006131201],"about_ca_topic_score_codex":0.002808573,"about_ca_topic_score_gemma":0.0028696244,"teacher_disagreement_score":0.002808573,"about_ca_system_score_codex":0.00022720514,"about_ca_system_score_gemma":0.00030590428,"threshold_uncertainty_score":0.006965697},"labels":[],"label_agreement":null},{"id":"W4282914464","doi":"10.2196/34974","title":"Design of a Remote Coaching Program to Bridge the Gap From Hospital Discharge to Cardiac Rehabilitation: Intervention Mapping Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Coaching; Rehabilitation; Health coaching; Medicine; Psychosocial; CAD; Intervention (counseling); Coronary artery disease; Medical emergency; Identification (biology); Nursing; Physical therapy; Psychology; Engineering; Psychiatry; Psychotherapist","score_opus":0.03894284535347379,"score_gpt":0.3688947643731002,"score_spread":0.3299519190196264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282914464","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89784884,0.00012827475,0.01728333,0.00039937088,0.00010660407,0.07561546,0.00036059442,0.00021078216,0.008046716],"genre_scores_gemma":[0.80382514,0.00018260346,0.04827423,0.00046562674,0.0000478213,0.14312778,0.00025644558,0.000034643865,0.0037857716],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961312,0.0023636483,0.00013275686,0.00042817023,0.00021780441,0.00072639144],"domain_scores_gemma":[0.9968196,0.0013300625,0.00018820184,0.00027528786,0.0005189694,0.0008678173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006519595,0.00086957915,0.0008395995,0.0013428272,0.0025834881,0.0008023966,0.0016767132,0.0012630756,0.008059853],"category_scores_gemma":[0.0066928454,0.00052976015,0.0007853714,0.00081628095,0.00081406755,0.0010671127,0.0017964015,0.0013176064,0.0008485476],"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":[0.015533976,0.28790495,0.03364144,0.0038369563,0.00020678513,0.001845615,0.0470656,0.005980728,0.011110465,0.0044095195,0.0038374614,0.58462656],"study_design_scores_gemma":[0.060653318,0.46893892,0.2239762,0.0020866666,0.0008410738,0.0011317345,0.1349447,0.021383988,0.020330891,0.01038335,0.054955598,0.00037361134],"about_ca_topic_score_codex":0.0027087028,"about_ca_topic_score_gemma":0.0034699847,"teacher_disagreement_score":0.008059853,"about_ca_system_score_codex":0.002663162,"about_ca_system_score_gemma":0.008204101,"threshold_uncertainty_score":0.03447938},"labels":[],"label_agreement":null},{"id":"W4282922499","doi":"10.2196/29926","title":"Internet-Based Cognitive Behavioral Therapy and its Association With Self-efficacy, Depressive Symptoms, and Physical Activity: Secondary Analysis of a Randomized Controlled Trial in Patients With Cardiovascular Disease","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Self-efficacy; Randomized controlled trial; Psychological intervention; Clinical psychology; Depressive symptoms; Disease; Medicine; Structural equation modeling; Association (psychology); Cognition; Physical therapy; Psychology; Psychiatry; Internal medicine; Psychotherapist","score_opus":0.011535947878489713,"score_gpt":0.29281368289865783,"score_spread":0.2812777350201681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282922499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9768742,0.008800132,0.00083978224,0.00052477757,0.0007509618,0.008934901,0.0015097135,0.00012421508,0.0016412716],"genre_scores_gemma":[0.9802546,0.0029690675,0.0015503311,0.0005657188,0.00071630784,0.012134554,0.0008282927,0.00001755623,0.000963621],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.9957755,0.0026876424,0.00045948732,0.00046810662,0.00029745884,0.00031176096],"domain_scores_gemma":[0.993818,0.0026709626,0.001664434,0.00054427027,0.00044280686,0.00085952046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005450616,0.0013948805,0.0056589264,0.0012108744,0.0007250112,0.0016119021,0.0011134052,0.0019404404,0.006630762],"category_scores_gemma":[0.00866705,0.00062914606,0.005772721,0.0014247611,0.0011357194,0.0009805822,0.00082517386,0.0027894657,0.0004925621],"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":[0.96806157,0.008982649,0.002553565,0.0017710553,0.008231108,0.000030155481,0.000053570286,0.00020186524,0.000339579,0.000058068756,0.0003555972,0.009361129],"study_design_scores_gemma":[0.9504233,0.03760662,0.006625329,0.00011664523,0.004419632,0.000014470201,0.000027147442,0.00035441108,0.00012815664,0.00008827326,0.00018298966,0.000013077475],"about_ca_topic_score_codex":0.002576016,"about_ca_topic_score_gemma":0.0031039834,"teacher_disagreement_score":0.006630762,"about_ca_system_score_codex":0.0011628567,"about_ca_system_score_gemma":0.0018730769,"threshold_uncertainty_score":0.028825998},"labels":[],"label_agreement":null},{"id":"W4283075056","doi":"10.2196/35488","title":"Virtual Reality Cardiac Surgical Planning Software (CorFix) for Designing Patient-Specific Vascular Grafts: Development and Pilot Usability Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Heart, Lung, and Blood Institute","keywords":"Usability; Hemodynamics; Inferior vena cava; Fontan procedure; Intensivist; Medicine; Virtual reality; Ventricle; Simulation; Surgery; Engineering; Computer science; Human–computer interaction; Cardiology; Intensive care medicine; Intensive care","score_opus":0.02960750355755314,"score_gpt":0.25620155123844107,"score_spread":0.22659404768088792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283075056","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9702084,0.00021071912,0.026069183,0.00008329085,0.000029191167,0.0008282249,0.00017226856,0.00071586133,0.0016827661],"genre_scores_gemma":[0.9038481,0.0003792399,0.09230525,0.00010464521,0.000023473147,0.00090564135,0.00044503657,0.00022884927,0.0017597652],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978393,0.0013055304,0.00016418434,0.00025605582,0.0003163396,0.000118668555],"domain_scores_gemma":[0.9830562,0.013141527,0.00043888154,0.00096623716,0.0018917131,0.0005055112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065769674,0.0010527505,0.0004546029,0.0009011423,0.00026935586,0.0009107661,0.0010596268,0.0006954869,0.0024766559],"category_scores_gemma":[0.017137494,0.00041409937,0.0007986295,0.00032176584,0.00044870656,0.001057078,0.0009742782,0.00047840507,0.00043431637],"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":[0.0042142146,0.013685528,0.09764688,0.0050403546,0.0005507611,0.004483213,0.06085364,0.019921506,0.1483304,0.0021892402,0.010656428,0.63242775],"study_design_scores_gemma":[0.0032495246,0.08256602,0.37364888,0.0023153943,0.0018609792,0.016308865,0.031123925,0.2654932,0.12493646,0.0025932277,0.09478259,0.0011209032],"about_ca_topic_score_codex":0.00068764406,"about_ca_topic_score_gemma":0.0009863521,"teacher_disagreement_score":0.0065769674,"about_ca_system_score_codex":0.00027713273,"about_ca_system_score_gemma":0.00045962236,"threshold_uncertainty_score":0.034782767},"labels":[],"label_agreement":null},{"id":"W4283216270","doi":"10.2196/31230","title":"Continuous mHealth Patch Monitoring for the Algorithm-Based Detection of Atrial Fibrillation: Feasibility and Diagnostic Accuracy Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Sydäntutkimussäätiö; Suomen Lääketieteen Säätiö; Kuopion Yliopistollinen Sairaala; Aarne Koskelon Säätiö; Foundation for Cardiovascular Research","keywords":"Atrial fibrillation; mHealth; Medicine; Asymptomatic; Heart rate variability; Gold standard (test); Percentile; Normal Sinus Rhythm; Sinus rhythm; Algorithm; Internal medicine; Cardiology; Computer science; Heart rate; Statistics","score_opus":0.07884279349098094,"score_gpt":0.3773976727046738,"score_spread":0.29855487921369284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283216270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939015,0.00065519207,0.0046994444,0.000036281257,0.000026439619,0.000105231295,0.000078214005,0.000031330404,0.00046631866],"genre_scores_gemma":[0.99512094,0.00016998364,0.004404472,0.00002601556,0.000053409534,0.00004767525,0.00008601726,0.0000059782624,0.00008536008],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981323,0.0008106681,0.00012943077,0.000320183,0.0005395182,0.00006794283],"domain_scores_gemma":[0.99441975,0.0033481724,0.00081357255,0.0003825786,0.0007960073,0.00023985232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032168864,0.00040296954,0.00045208656,0.0007868103,0.0001300126,0.00063170475,0.00040818728,0.0006606996,0.0007657664],"category_scores_gemma":[0.009859138,0.00021535558,0.0003271087,0.00032970356,0.00031727733,0.00062514615,0.00033325018,0.00031506963,0.00037117716],"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":[0.007378493,0.00092018227,0.87934107,0.00014788886,0.00029873548,0.0002396834,0.0003289861,0.00048610257,0.017410332,0.000102748905,0.00023689707,0.09310889],"study_design_scores_gemma":[0.00070001074,0.013386632,0.9378371,0.000040671453,0.0004850495,0.0027582955,0.00020558396,0.037091985,0.0066927066,0.00012737843,0.00062832783,0.000046182802],"about_ca_topic_score_codex":0.00024253142,"about_ca_topic_score_gemma":0.0002570574,"teacher_disagreement_score":0.0032168864,"about_ca_system_score_codex":0.00014555815,"about_ca_system_score_gemma":0.00017075095,"threshold_uncertainty_score":0.017012775},"labels":[],"label_agreement":null},{"id":"W4285062364","doi":"10.2196/34959","title":"Attitudes of Patients With Chronic Heart Failure Toward Digital Device Data for Self-documentation and Research in Germany: Cross-sectional Survey Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Documentation; Medicine; German; Data collection; Digital health; Data sharing; Medical record; Health care; Medical emergency; Medical education; Computer science; Alternative medicine; Internal medicine","score_opus":0.1643553405604756,"score_gpt":0.5278659449354942,"score_spread":0.3635106043750186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285062364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99947625,0.0001021805,0.0000304612,0.00007235752,0.0000026020316,0.000008515021,0.000111752124,0.0000011953824,0.00019464041],"genre_scores_gemma":[0.99958485,0.00011385433,0.000055845292,0.00008192131,0.0000030088102,0.000012102814,0.00007476454,4.6565222e-7,0.00007323496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904364,0.000320697,0.0001373956,0.00011668066,0.00019146461,0.00019007138],"domain_scores_gemma":[0.9977617,0.0005534821,0.0009629109,0.00008082176,0.0001736392,0.00046733223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016989043,0.00020659556,0.00029994358,0.0010970968,0.0004380061,0.0007899277,0.00024552978,0.00051647256,0.0015175446],"category_scores_gemma":[0.0026430828,0.0002586108,0.00034678282,0.0011315531,0.00043290685,0.0006789128,0.00064563355,0.0003941756,0.00023709732],"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":[0.00004315782,0.00012768594,0.9947343,0.00004582552,0.000027341493,0.000106352,0.0019659656,0.000022519733,0.00017171635,0.00003825909,0.00021918917,0.0024977094],"study_design_scores_gemma":[0.0000039990528,0.00013202212,0.9966078,0.000021426578,0.000013681124,0.00013978829,0.0026204204,0.00008732865,0.000044919037,0.000007915052,0.0003150499,0.0000056991116],"about_ca_topic_score_codex":0.0063448716,"about_ca_topic_score_gemma":0.0071409466,"teacher_disagreement_score":0.0063448716,"about_ca_system_score_codex":0.0009276643,"about_ca_system_score_gemma":0.0006074272,"threshold_uncertainty_score":0.012615919},"labels":[],"label_agreement":null},{"id":"W4285448029","doi":"10.2196/31302","title":"Home Telemonitoring and a Diagnostic Algorithm in the Management of Heart Failure in the Netherlands: Cost-effectiveness Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Psychological intervention; Medicine; Health care; Cost effectiveness; Purchasing power parity; Heart failure; Emergency medicine; Intensive care medicine; Medical emergency; Finance; Risk analysis (engineering); Internal medicine","score_opus":0.0149911066107765,"score_gpt":0.2940608825180236,"score_spread":0.2790697759072471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285448029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93228984,0.026294358,0.021774745,0.0014913257,0.00023537438,0.0044279853,0.0043901713,0.000062894454,0.009033278],"genre_scores_gemma":[0.9845457,0.0036155633,0.00814255,0.00013264286,0.000028307031,0.001743767,0.0011366783,0.000014914112,0.0006399171],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.990258,0.008040404,0.0003902266,0.00044315183,0.0005330376,0.00033519612],"domain_scores_gemma":[0.9852046,0.012758268,0.0009967972,0.00021088083,0.00047647845,0.00035304547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0109551065,0.0011131994,0.0023126262,0.0016390682,0.00018220514,0.0019397321,0.0012062392,0.0012606869,0.0033743011],"category_scores_gemma":[0.034109607,0.0007311183,0.004452514,0.0017692518,0.0004365087,0.0014950758,0.001063024,0.00091383705,0.00013235284],"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":[0.025761629,0.0037310724,0.024313817,0.006828079,0.012503668,0.0008773566,0.000202807,0.81656563,0.00055827247,0.0065426086,0.0021875936,0.09992746],"study_design_scores_gemma":[0.0119434735,0.012737257,0.033803344,0.0019578629,0.013955854,0.0007348437,0.0004994286,0.91351557,0.000960987,0.0050199144,0.004696051,0.00017536408],"about_ca_topic_score_codex":0.029637093,"about_ca_topic_score_gemma":0.010587653,"teacher_disagreement_score":0.029637093,"about_ca_system_score_codex":0.009342491,"about_ca_system_score_gemma":0.003939744,"threshold_uncertainty_score":0.067784846},"labels":[],"label_agreement":null},{"id":"W4286384172","doi":"10.2196/36442","title":"The Association Between Telemedicine Use and Changes in Health Care Usage and Outcomes in Patients With Congestive Heart Failure: Retrospective Cohort Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University Health Network; Institute for Clinical Evaluative Sciences; Public Health Ontario; University of Toronto; Women's College Hospital","funders":"Women's College Hospital; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Telemedicine; Heart failure; Retrospective cohort study; Propensity score matching; Ambulatory; Cohort; Health care; Ambulatory care; Cohort study; Population; Emergency medicine; Telehealth; Internal medicine","score_opus":0.013314072263556282,"score_gpt":0.30947501173633374,"score_spread":0.29616093947277744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286384172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984982,0.00012817704,0.00011174406,0.000022286982,0.000005212168,0.00003137943,0.0010131683,0.000003023934,0.0001867494],"genre_scores_gemma":[0.998869,0.000075066884,0.000117293464,0.000029040863,0.000009122944,0.000029458271,0.0007699405,0.0000016610378,0.00009927633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900097,0.00020574016,0.00013169643,0.00030482028,0.00020842758,0.00014833514],"domain_scores_gemma":[0.99662375,0.000448338,0.0016201778,0.00050132885,0.000375078,0.00043137508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013765023,0.00029101915,0.00043322227,0.0008716554,0.00062414363,0.000715029,0.00059992314,0.0005053906,0.001201041],"category_scores_gemma":[0.0027271488,0.00044393158,0.0007792365,0.0018421946,0.0003305896,0.0004652605,0.00055279786,0.00065326213,0.00018192426],"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":[0.00006784491,0.000019077715,0.9995266,0.000003867159,0.000052391642,0.00002463562,0.000032595366,0.0000112756525,0.000046138735,0.0000041622234,0.000042078642,0.00016933694],"study_design_scores_gemma":[0.000012123165,0.00007897762,0.99946254,0.0000035738126,0.000039481256,0.00009090892,0.000091065114,0.00010930898,0.000016323556,0.000004628109,0.00008813278,0.0000029624302],"about_ca_topic_score_codex":0.053247746,"about_ca_topic_score_gemma":0.055031903,"teacher_disagreement_score":0.053247746,"about_ca_system_score_codex":0.0008511381,"about_ca_system_score_gemma":0.0009504755,"threshold_uncertainty_score":0.10587561},"labels":[],"label_agreement":null},{"id":"W4289844814","doi":"10.2196/38570","title":"Prediction of VO2max From Submaximal Exercise Using the Smartphone Application Myworkout GO: Validation Study of a Digital Health Method","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiovascular and exercise physiology","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Norges Forskningsråd","keywords":"Cardiorespiratory fitness; VO2 max; Treadmill; Medicine; Physical therapy; Aerobic exercise; Ventilatory threshold; Heart rate; Internal medicine; Blood pressure","score_opus":0.03615873226081378,"score_gpt":0.3148808412429749,"score_spread":0.2787221089821611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289844814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99433243,0.00010660468,0.0043510743,0.000022076587,0.000027006397,0.00034769674,0.00023446868,0.00003636469,0.0005422009],"genre_scores_gemma":[0.99197316,0.000109348606,0.0064441888,0.000064883236,0.000022694656,0.00032498752,0.0005033949,0.00000970016,0.0005476004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850696,0.00065127463,0.00013445043,0.00031755364,0.00031151078,0.00007820375],"domain_scores_gemma":[0.99531436,0.0026831063,0.00053698267,0.00041864166,0.00085224427,0.00019459671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037754923,0.00067621557,0.00039598436,0.0006012967,0.00022783075,0.0006120813,0.0005288175,0.0007654181,0.0012720381],"category_scores_gemma":[0.009359912,0.00022097581,0.0004444109,0.00030464842,0.00040666727,0.0003817058,0.000591606,0.00026849308,0.00055014424],"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":[0.008985432,0.0055850823,0.8772746,0.0003698225,0.0005723172,0.00012531968,0.0009966004,0.0026716348,0.01802953,0.00019992348,0.0005684787,0.08462127],"study_design_scores_gemma":[0.0008946977,0.022764612,0.92623526,0.00009855115,0.0004908763,0.00048211473,0.00057431695,0.03740011,0.009208321,0.00014621335,0.0016467932,0.00005828514],"about_ca_topic_score_codex":0.0018139094,"about_ca_topic_score_gemma":0.0018139078,"teacher_disagreement_score":0.0037754923,"about_ca_system_score_codex":0.00020112397,"about_ca_system_score_gemma":0.00025243932,"threshold_uncertainty_score":0.01996696},"labels":[],"label_agreement":null},{"id":"W4292396063","doi":"10.2196/36947","title":"The First National Program of Remote Cardiac Rehabilitation in Israel–Goal Achievements, Adherence, and Responsiveness in Older Adult Patients: Retrospective Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Rehabilitation; Myocardial infarction; Telemedicine; Retrospective cohort study; Physical therapy; Activities of daily living; Physical activity; Gerontology; Health care; Internal medicine","score_opus":0.006999452300554098,"score_gpt":0.3187375715745676,"score_spread":0.3117381192740135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292396063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99951625,0.00006883949,0.00003103481,0.000010414341,0.0000014577168,0.000023931329,0.0001912352,0.0000015697968,0.0001553501],"genre_scores_gemma":[0.9990951,0.00008495631,0.00006598521,0.000024183446,0.000008064921,0.000044349577,0.0005832731,0.0000012607838,0.00009295162],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944645,0.00012955227,0.00009032224,0.000116140196,0.00012462806,0.00009288592],"domain_scores_gemma":[0.9985403,0.00023365706,0.00054453145,0.00014587956,0.00022119422,0.00031445656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083585375,0.00023015885,0.00043998176,0.0009411725,0.0005361943,0.00041444768,0.0003284659,0.0004178685,0.0010207794],"category_scores_gemma":[0.0015503598,0.00028230282,0.00057202077,0.0009851106,0.00021341961,0.00036955616,0.0005488223,0.00052533543,0.00022984306],"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":[0.00011058993,0.0001394616,0.99856925,0.000009068195,0.000026921885,0.000045229255,0.00006951736,0.000023933795,0.00004481975,0.000004463873,0.000046437508,0.00091026205],"study_design_scores_gemma":[0.000013842879,0.00033169534,0.9991134,0.000006071129,0.000019031473,0.00013709784,0.00016056316,0.00009828395,0.00002846009,0.0000040730606,0.00008476356,0.0000027530205],"about_ca_topic_score_codex":0.0059197447,"about_ca_topic_score_gemma":0.0048856535,"teacher_disagreement_score":0.0059197447,"about_ca_system_score_codex":0.00064084935,"about_ca_system_score_gemma":0.000613253,"threshold_uncertainty_score":0.011770606},"labels":[],"label_agreement":null},{"id":"W4299903130","doi":"10.2196/38040","title":"The Impact of Time Horizon on Classification Accuracy: Application of Machine Learning to Prediction of Incident Coronary Heart Disease","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Heart, Lung, and Blood Institute; National Institute on Aging","keywords":"Random forest; Proportional hazards model; Machine learning; Decision tree; Framingham Risk Score; Artificial intelligence; Predictive modelling; Time horizon; Medicine; Support vector machine; Regression; Receiver operating characteristic; Regression analysis; Statistics; Internal medicine; Computer science; Disease; Mathematics","score_opus":0.017448448859777036,"score_gpt":0.31341734574121266,"score_spread":0.29596889688143563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299903130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9181262,0.005964045,0.06915234,0.002540566,0.00023822556,0.00009764718,0.0006382205,0.00034852605,0.0028941203],"genre_scores_gemma":[0.99284303,0.00028623652,0.0064682583,0.00006892414,0.000054637898,0.000015890968,0.00014447734,0.000015104253,0.000103327184],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9920929,0.005167601,0.00046170157,0.00070628215,0.0012378054,0.00033371666],"domain_scores_gemma":[0.8409385,0.14423524,0.006514612,0.003280223,0.0037875331,0.0012439066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024918096,0.0007530557,0.000765499,0.001490668,0.0003895305,0.001269382,0.0007606775,0.00095055526,0.00074652076],"category_scores_gemma":[0.08761044,0.00020570004,0.0008692883,0.001110643,0.0006583745,0.0018050204,0.0008641494,0.0017643009,0.00016463852],"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":[0.0027132065,0.0004506895,0.60552794,0.00022475442,0.0008721775,0.0001488666,0.0002707118,0.20975466,0.0008443476,0.0010685286,0.0016843565,0.17643979],"study_design_scores_gemma":[0.00007769524,0.0015059739,0.1324163,0.000134347,0.00029861182,0.00021919093,0.0001479529,0.856727,0.0019390975,0.005850968,0.00062019436,0.00006281315],"about_ca_topic_score_codex":0.0035285403,"about_ca_topic_score_gemma":0.0023819583,"teacher_disagreement_score":0.024918096,"about_ca_system_score_codex":0.0010432383,"about_ca_system_score_gemma":0.001166629,"threshold_uncertainty_score":0.13178104},"labels":[],"label_agreement":null},{"id":"W4302365074","doi":"10.2196/36773","title":"Characteristics of Smart Health Ecosystems That Support Self-care Among People With Heart Failure: Scoping Review","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council; Deakin University","keywords":"Heart failure; Self care; Health care; Psychology; Medicine; Business; Gerontology; Cardiology; Economic growth; Economics","score_opus":0.014783412990394233,"score_gpt":0.2781425534154052,"score_spread":0.263359140425011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302365074","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011960432,0.9966757,0.00016129237,0.0004302484,0.00012679328,0.00027072843,0.00019985637,0.0000055651567,0.00093373755],"genre_scores_gemma":[0.00888018,0.9893686,0.0005872983,0.0003720861,0.000065306755,0.00045080317,0.00016467292,0.0000036721092,0.00010735233],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99299604,0.0021159472,0.002950707,0.00046316886,0.0012570176,0.00021709302],"domain_scores_gemma":[0.94889224,0.040524073,0.005564071,0.0004692885,0.00416287,0.0003874015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0101457285,0.0013843483,0.0044665285,0.019576754,0.0011553746,0.005629758,0.0020207998,0.0033308105,0.003826248],"category_scores_gemma":[0.051114414,0.0011470158,0.004491571,0.020719586,0.0014785293,0.0045683226,0.0022133947,0.0014339588,0.00043751163],"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":[0.000093902025,0.000040953684,0.0011300878,0.8886559,0.0021957532,0.00015653046,0.0009424987,0.00015479315,0.00012994627,0.00096762617,0.0021186532,0.103413396],"study_design_scores_gemma":[0.00003778713,0.000108945365,0.0030319772,0.96181387,0.008829424,0.00029139337,0.00097136776,0.000081887316,0.00013312136,0.00048345802,0.024187552,0.000029224677],"about_ca_topic_score_codex":0.010960714,"about_ca_topic_score_gemma":0.020952994,"teacher_disagreement_score":0.019576754,"about_ca_system_score_codex":0.0046512075,"about_ca_system_score_gemma":0.01593805,"threshold_uncertainty_score":0.05365634},"labels":[],"label_agreement":null},{"id":"W4307341045","doi":"10.2196/35796","title":"Cardiorespiratory Fitness Estimation Based on Heart Rate and Body Acceleration in Adults With Cardiovascular Risk Factors: Validation Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiovascular and exercise physiology","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Business Finland","keywords":"Cardiorespiratory fitness; Medicine; Heart rate; Cardiology; Dyslipidemia; Internal medicine; Treadmill; Physical therapy; Blood pressure; Obesity","score_opus":0.01297308705253896,"score_gpt":0.25630862858193304,"score_spread":0.24333554152939407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307341045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99827814,0.000053889275,0.0007988844,0.000012205293,0.000008391345,0.00021471878,0.00024926302,0.000014172033,0.00037021138],"genre_scores_gemma":[0.9966911,0.00006295344,0.0014725116,0.000051576786,0.000018489964,0.00029379147,0.0011225132,0.00000883686,0.0002781068],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986325,0.00058720034,0.000128434,0.0002576446,0.00027852526,0.00011563861],"domain_scores_gemma":[0.9953607,0.0015111497,0.0006182138,0.000766183,0.0013337018,0.00041006872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004985796,0.00090030686,0.0005313354,0.0006209423,0.0005290015,0.0005535748,0.0007796008,0.0011356247,0.0007900372],"category_scores_gemma":[0.008208979,0.00033452216,0.00070921506,0.0003628361,0.0005817991,0.0005259504,0.0007494718,0.00073000754,0.0007404682],"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":[0.0012554318,0.0024011412,0.98283815,0.000054829303,0.00024553694,0.00008699128,0.0006946876,0.00045512867,0.001766989,0.00004998887,0.00036841613,0.009782793],"study_design_scores_gemma":[0.00023953537,0.0031444484,0.9924505,0.000024046036,0.00012639129,0.00025084903,0.00024922352,0.002422495,0.00047189716,0.000031880136,0.00057385425,0.000014832995],"about_ca_topic_score_codex":0.0030487755,"about_ca_topic_score_gemma":0.0030156546,"teacher_disagreement_score":0.004985796,"about_ca_system_score_codex":0.00027241162,"about_ca_system_score_gemma":0.00056488765,"threshold_uncertainty_score":0.026367724},"labels":[],"label_agreement":null},{"id":"W4307426597","doi":"10.2196/40546","title":"Evaluating Health Care Provider Perspectives on the Use of Mobile Apps to Support Patients With Heart Failure Management: Qualitative Descriptive Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Sinai Health System; University of Toronto; Toronto Metropolitan University; Ontario Tech University","funders":"","keywords":"Medicine; Descriptive statistics; Qualitative research; Nursing; Health care; Mobile technology; Mobile apps; Medical education; Mobile device; Psychology; World Wide Web; Computer science","score_opus":0.08328882207704369,"score_gpt":0.38904063434785574,"score_spread":0.30575181227081205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307426597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909231,0.00059603126,0.002804338,0.0015148345,0.00005042946,0.0007195748,0.0005332156,0.000015189152,0.0028431532],"genre_scores_gemma":[0.9915291,0.00094270863,0.0030833513,0.001095905,0.000026668371,0.001565051,0.0002490636,0.000021872629,0.0014862596],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99090356,0.0062551694,0.00042801411,0.0005489831,0.0006539357,0.0012103282],"domain_scores_gemma":[0.96180505,0.031230303,0.0020599843,0.00064800284,0.0026389216,0.0016176697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015080141,0.0004628345,0.00060047314,0.0021005985,0.00575673,0.0028050002,0.0012572885,0.0011398395,0.0029515112],"category_scores_gemma":[0.026804395,0.0006961106,0.0005151468,0.0021710692,0.0039865808,0.0026817047,0.0035309908,0.0016769441,0.00028480834],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055355773,0.00010576059,0.008382749,0.00033105453,0.0000087197095,0.00067275326,0.98183984,0.000046603032,0.0007424922,0.000575735,0.0005624533,0.006676398],"study_design_scores_gemma":[0.0000073162214,0.000060647337,0.0028475192,0.0002266088,0.0000063287766,0.00016185043,0.9927632,0.00009958942,0.00029701754,0.00014975284,0.00336884,0.000011249848],"about_ca_topic_score_codex":0.0094746,"about_ca_topic_score_gemma":0.015453553,"teacher_disagreement_score":0.015080141,"about_ca_system_score_codex":0.0062577655,"about_ca_system_score_gemma":0.007130332,"threshold_uncertainty_score":0.079752326},"labels":[],"label_agreement":null},{"id":"W4307965814","doi":"10.2196/40764","title":"Analyzing Public Conversations About Heart Disease and Heart Health on Facebook From 2016 to 2021: Retrospective Observational Study Applying Latent Dirichlet Allocation Topic Modeling","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Nursing Research; University of California, San Francisco","keywords":"Public health; Latent Dirichlet allocation; Health promotion; Pandemic; Thematic analysis; Heart disease; Medicine; Disease; Psychology; Topic model; Coronavirus disease 2019 (COVID-19); Nursing; Sociology; Internal medicine; Qualitative research; Infectious disease (medical specialty); Social science; Computer science","score_opus":0.18007710599129967,"score_gpt":0.4066417923968722,"score_spread":0.22656468640557254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307965814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901377,0.0003764216,0.00068187807,0.00034391615,0.000032201635,0.0001990527,0.007014568,0.000018893717,0.0011953405],"genre_scores_gemma":[0.99096453,0.00046501477,0.0013441412,0.0002820543,0.00005996126,0.0006959022,0.0055339406,0.000020163616,0.00063414825],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99771583,0.0010620086,0.00027205612,0.00038042438,0.00029290814,0.0002767555],"domain_scores_gemma":[0.9917378,0.0033028724,0.0024545356,0.0006037244,0.0012243667,0.0006767192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029125826,0.00039269918,0.0004951655,0.0013764763,0.001159136,0.0012325277,0.0004974982,0.00074968324,0.0019883532],"category_scores_gemma":[0.015222895,0.0004726478,0.00067000784,0.0016025817,0.00043273726,0.0016223057,0.0020144351,0.0012301421,0.0010406659],"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":[0.00016673644,0.00034767628,0.97454745,0.0002668886,0.000106951244,0.00023729482,0.008929905,0.00016556404,0.00023575714,0.00020532377,0.0038836396,0.0109068155],"study_design_scores_gemma":[0.00003201695,0.0002823672,0.96003574,0.00041899728,0.00014505244,0.0005621157,0.026591323,0.004038497,0.0004186648,0.0005241091,0.006874767,0.00007637992],"about_ca_topic_score_codex":0.010028046,"about_ca_topic_score_gemma":0.015957063,"teacher_disagreement_score":0.010028046,"about_ca_system_score_codex":0.0008075459,"about_ca_system_score_gemma":0.00092606177,"threshold_uncertainty_score":0.019939303},"labels":[],"label_agreement":null},{"id":"W4308059662","doi":"10.2196/35876","title":"The Use of Dietary Approaches to Stop Hypertension (DASH) Mobile Apps for Supporting a Healthy Diet and Controlling Hypertension in Adults: Systematic Review","year":2022,"lang":"en","type":"review","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Princess Nourah Bint Abdulrahman University","keywords":"Dash; DASH diet; CINAHL; Medicine; Usability; Psychological intervention; MEDLINE; Cochrane Library; Randomized controlled trial; Physical therapy; Blood pressure; Internal medicine; Computer science; Nursing","score_opus":0.35348296815686864,"score_gpt":0.43726344190304334,"score_spread":0.0837804737461747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308059662","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013022204,0.9969277,0.00013832455,0.00018296807,0.00009610335,0.0007168697,0.00029224335,0.000012936085,0.0003307555],"genre_scores_gemma":[0.0115322545,0.98570466,0.00078229746,0.0004133295,0.00005569905,0.0012019356,0.00015619918,0.000005875308,0.000147706],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9937086,0.0021408529,0.0023227658,0.00036217392,0.0012677094,0.00019780936],"domain_scores_gemma":[0.98083925,0.013235527,0.00358399,0.00023408043,0.0018499566,0.00025722466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068658716,0.0015400705,0.0074632145,0.007368811,0.000800362,0.0027065536,0.00177253,0.0019652057,0.004309549],"category_scores_gemma":[0.030632658,0.0010693958,0.0077186325,0.008076903,0.0007827701,0.00252653,0.0015492869,0.0013566349,0.00032500795],"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":[0.00014752078,0.000016045966,0.00026017133,0.9710461,0.0040539503,0.000039657603,0.00015014358,0.000036639216,0.00007394566,0.00007004881,0.0006601736,0.023445578],"study_design_scores_gemma":[0.0003020783,0.00026475283,0.0025799836,0.9338248,0.051318154,0.00020329798,0.00027337906,0.00007991585,0.0001549323,0.00012780397,0.010838177,0.00003260131],"about_ca_topic_score_codex":0.010239789,"about_ca_topic_score_gemma":0.029286468,"teacher_disagreement_score":0.010239789,"about_ca_system_score_codex":0.0035262874,"about_ca_system_score_gemma":0.012874694,"threshold_uncertainty_score":0.036310673},"labels":[],"label_agreement":null},{"id":"W4309654080","doi":"10.2196/39566","title":"Racial and Socioeconomic Differences in Heart Failure Hospitalizations and Telemedicine Follow-up During the COVID-19 Pandemic: Retrospective Cohort Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Retrospective cohort study; Pandemic; Acute decompensated heart failure; Telemedicine; Quartile; Emergency medicine; Cohort; Socioeconomic status; Heart failure; Intensive care unit; Cohort study; Coronavirus disease 2019 (COVID-19); Internal medicine; Health care; Population; Confidence interval; Environmental health","score_opus":0.01580857899021139,"score_gpt":0.2857978732001274,"score_spread":0.269989294209916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309654080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99851567,0.00010193928,0.0000672824,0.000022997698,0.0000058522032,0.000027703825,0.0009870179,0.0000018775895,0.00026966786],"genre_scores_gemma":[0.99901164,0.00007108958,0.00005422846,0.000031466094,0.0000073837437,0.00002920511,0.0007296436,0.0000015128072,0.00006379232],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989171,0.0002034173,0.00017012644,0.00027676625,0.0002174687,0.00021517854],"domain_scores_gemma":[0.9978835,0.00019271058,0.0011200138,0.00022162689,0.00021410194,0.00036798528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013173398,0.00034495216,0.00040629954,0.0013076813,0.00081753964,0.00082124455,0.00056960434,0.0005579529,0.0012667755],"category_scores_gemma":[0.0024408984,0.00049169915,0.00079721253,0.002056937,0.00034402584,0.00086054805,0.0008285081,0.0006728846,0.00027515972],"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":[0.000041715128,0.000027298885,0.9995648,0.0000034512664,0.000030399702,0.000024706866,0.00005488331,0.000009482501,0.00004393228,0.000006864082,0.000043408236,0.00014897916],"study_design_scores_gemma":[0.000003858861,0.000080531376,0.99932027,0.000005726565,0.000017043802,0.00010848862,0.00028981688,0.00007480137,0.000022004422,0.0000060807724,0.00006809002,0.00000330655],"about_ca_topic_score_codex":0.019535298,"about_ca_topic_score_gemma":0.021197477,"teacher_disagreement_score":0.019535298,"about_ca_system_score_codex":0.00057205727,"about_ca_system_score_gemma":0.00065927213,"threshold_uncertainty_score":0.038843215},"labels":[],"label_agreement":null},{"id":"W4312341201","doi":"10.2196/41248","title":"Patterns in the Use of Heart Failure Telemonitoring: Post Hoc Analysis of the e-Vita Heart Failure Trial","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University College London; National Institute for Health and Care Research","keywords":"Medicine; Heart failure; Post-hoc analysis; Randomized controlled trial; Weight loss; Blood pressure; Post hoc; Physical therapy; Internal medicine; Obesity","score_opus":0.03334471679376357,"score_gpt":0.29050974755475656,"score_spread":0.257165030760993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312341201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954697,0.0016275184,0.00026248198,0.00019737231,0.0000922208,0.0002451239,0.0012286038,0.000017386921,0.0008596568],"genre_scores_gemma":[0.99759185,0.00016988032,0.00018257769,0.00010899769,0.000065496075,0.00034391927,0.0011060408,0.000010042634,0.000421226],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.99472755,0.003496602,0.00033725746,0.00075223146,0.00031461747,0.00037182902],"domain_scores_gemma":[0.9928599,0.0037745598,0.0015503651,0.0008755111,0.00037079642,0.00056886685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072120135,0.0005516288,0.0018463958,0.00036656926,0.0003238509,0.0013903951,0.00076885865,0.0009304309,0.0032162443],"category_scores_gemma":[0.010072151,0.00028904318,0.0025936645,0.00064461725,0.00037171307,0.0009973703,0.0007377445,0.0015012095,0.00021911024],"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":[0.5131104,0.002580926,0.4321457,0.0007520194,0.027289731,0.00019156013,0.0002615374,0.0010898703,0.0007232852,0.0003680063,0.0031871777,0.018299764],"study_design_scores_gemma":[0.06805575,0.018334111,0.8911043,0.00013629337,0.013804344,0.00018026584,0.00031227816,0.00519801,0.00040248627,0.0008063882,0.0016058432,0.00005996413],"about_ca_topic_score_codex":0.0012976193,"about_ca_topic_score_gemma":0.0012038448,"teacher_disagreement_score":0.0072120135,"about_ca_system_score_codex":0.0002921509,"about_ca_system_score_gemma":0.00053596316,"threshold_uncertainty_score":0.03814125},"labels":[],"label_agreement":null},{"id":"W4312528092","doi":"10.2196/40283","title":"Remotely Delivered Cardiac Rehabilitation Exercise for Coronary Heart Disease: Nonrandomized Feasibility Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Interreg","keywords":"Medicine; Physical therapy; Rehabilitation; Repeated measures design; Quality of life (healthcare); Blood pressure; Heart rate; Aerobic exercise; Internal medicine; Nursing","score_opus":0.02656911188749839,"score_gpt":0.35688027384350024,"score_spread":0.33031116195600185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312528092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91348624,0.0002429031,0.0018032558,0.00014675072,0.00011738458,0.08250948,0.00045481572,0.000050445564,0.0011887337],"genre_scores_gemma":[0.89448726,0.00052576256,0.008795413,0.0006981696,0.00033320006,0.09294957,0.00048961525,0.000019188754,0.0017018325],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.995203,0.0031524375,0.0002902547,0.00044275043,0.00040622262,0.00050531846],"domain_scores_gemma":[0.99586606,0.001589253,0.0005536858,0.00056530104,0.0006537201,0.0007719723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0084142545,0.0014083883,0.0020431625,0.00083439425,0.001202622,0.00080735626,0.001333102,0.0017792645,0.0067978473],"category_scores_gemma":[0.006897427,0.0010019138,0.00085183134,0.0006515957,0.0013399739,0.0013465617,0.0009731199,0.0012714856,0.0016541138],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.32750213,0.5991548,0.018946515,0.001213757,0.00058978435,0.0005082538,0.0011397755,0.00048831955,0.010107565,0.00034080137,0.0011395799,0.038868807],"study_design_scores_gemma":[0.18743281,0.7835865,0.026012491,0.00007295739,0.0002476198,0.00009416362,0.00032705808,0.00045251325,0.00052683335,0.00014149619,0.0010809929,0.00002457105],"about_ca_topic_score_codex":0.0012643388,"about_ca_topic_score_gemma":0.0021156692,"teacher_disagreement_score":0.0084142545,"about_ca_system_score_codex":0.00052671373,"about_ca_system_score_gemma":0.002917604,"threshold_uncertainty_score":0.044499338},"labels":[],"label_agreement":null},{"id":"W4312823606","doi":"10.2196/39490","title":"Patient-Facing Clinical Decision Support for High Blood Pressure Control: Patient Survey","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; Agency for Healthcare Research and Quality; National Institutes of Health","keywords":"Medicine; Blood pressure; Personalization; Cohort; Patient satisfaction; Family medicine; Clinical decision support system; Physical therapy; Decision support system; Nursing; Internal medicine; Computer science","score_opus":0.037403940270173554,"score_gpt":0.31841459387786536,"score_spread":0.2810106536076918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312823606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964083,0.00010423025,0.00029776312,0.0004418725,0.000005380406,0.00027421105,0.0015451491,0.000017060616,0.0009060908],"genre_scores_gemma":[0.99620855,0.00021832774,0.0011973034,0.0006690826,0.000013410838,0.00047690846,0.0009332598,0.0000054435573,0.00027781876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974401,0.0012677435,0.00044018304,0.00023782831,0.0003175915,0.00029659274],"domain_scores_gemma":[0.99236417,0.0028067043,0.0021824576,0.0002835487,0.0010903659,0.0012727851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003637673,0.00016873832,0.00030889327,0.00075622776,0.000695249,0.00086632924,0.00027557035,0.000781886,0.0024497618],"category_scores_gemma":[0.009549733,0.00030614703,0.0003912292,0.0009775492,0.00039024733,0.0010461655,0.0010021839,0.0008498536,0.0006484956],"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":[0.0001031073,0.000602182,0.9833907,0.00013093835,0.000037458587,0.00013529604,0.003938609,0.00013708044,0.00023896994,0.000058500475,0.0019902752,0.009236849],"study_design_scores_gemma":[0.00008003433,0.0013493218,0.9783036,0.00008243155,0.000034778248,0.0005706815,0.012384991,0.0012253583,0.00033496908,0.00007386171,0.005525304,0.000034524946],"about_ca_topic_score_codex":0.003606664,"about_ca_topic_score_gemma":0.004474242,"teacher_disagreement_score":0.003637673,"about_ca_system_score_codex":0.0008319982,"about_ca_system_score_gemma":0.0012181434,"threshold_uncertainty_score":0.019238055},"labels":[],"label_agreement":null},{"id":"W4313346612","doi":"10.2196/41691","title":"A Smartwatch System for Continuous Monitoring of Atrial Fibrillation in Older Adults After Stroke or Transient Ischemic Attack: Application Design Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute","keywords":"Smartwatch; mHealth; Medicine; Cloud computing; Computer science; Atrial fibrillation; Wearable computer; Embedded system; Psychological intervention; Operating system; Internal medicine","score_opus":0.040872011755165666,"score_gpt":0.3257608315264119,"score_spread":0.28488881977124625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313346612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91748095,0.0010869963,0.06255096,0.00044119282,0.00017842214,0.012795281,0.0008355518,0.0008150307,0.003815654],"genre_scores_gemma":[0.83893806,0.0012918286,0.13094746,0.0006491746,0.00012627587,0.022674436,0.000991276,0.00012160579,0.004259753],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980769,0.0011259229,0.00019723528,0.00021330775,0.00025887595,0.00012772682],"domain_scores_gemma":[0.99583817,0.002096513,0.00024896272,0.0002319729,0.00127564,0.00030875742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043222597,0.00063991616,0.00048430404,0.0007737258,0.0003722294,0.0006293377,0.00050820323,0.0006768074,0.0031666064],"category_scores_gemma":[0.006369154,0.00025217567,0.0007645018,0.00036731546,0.00024587533,0.0006586067,0.0006556779,0.00041474326,0.00055794575],"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":[0.011889295,0.019296339,0.13995913,0.007815023,0.0010856797,0.0021576334,0.008790602,0.010509516,0.08048456,0.0039179074,0.01610584,0.6979885],"study_design_scores_gemma":[0.014478317,0.19098394,0.45818958,0.0024227672,0.004130619,0.0063916454,0.007743656,0.11868044,0.07523931,0.004921228,0.11609984,0.0007186992],"about_ca_topic_score_codex":0.000734373,"about_ca_topic_score_gemma":0.0010218131,"teacher_disagreement_score":0.0043222597,"about_ca_system_score_codex":0.00036324398,"about_ca_system_score_gemma":0.0009087611,"threshold_uncertainty_score":0.02285856},"labels":[],"label_agreement":null},{"id":"W4317567906","doi":"10.2196/41055","title":"High-Throughput Assessment of Real-World Medication Effects on QT Interval Prolongation: Observational Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"QT interval; Medicine; Torsades de pointes; Pharmacy; Medical prescription; Observational study; QRS complex; Demographics; Emergency medicine; Internal medicine; Sinus rhythm; Electrocardiography; Cardiology; Database; Atrial fibrillation; Pharmacology; Family medicine","score_opus":0.0408242753295579,"score_gpt":0.3749111162659564,"score_spread":0.3340868409363985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317567906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99259627,0.00066745555,0.0019502698,0.0001242141,0.000018551027,0.00017679081,0.00379305,0.000031261312,0.000642017],"genre_scores_gemma":[0.99488693,0.0002706573,0.0015571287,0.00013598762,0.00007947512,0.00019563978,0.0027683924,0.000013164046,0.00009262581],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9912254,0.003982866,0.0011893925,0.001760098,0.0015356445,0.00030648228],"domain_scores_gemma":[0.96553224,0.011481542,0.014026113,0.005061565,0.00263635,0.001262128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065720496,0.0005447299,0.0009891259,0.0009777481,0.00061159005,0.0012352436,0.0008696143,0.00086407166,0.0012427458],"category_scores_gemma":[0.020999042,0.00055860024,0.0011380109,0.0021876665,0.00049044675,0.0009828157,0.0010418111,0.0012166476,0.00040101973],"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":[0.0008715409,0.0002962524,0.99467975,0.0001011239,0.0007856015,0.000114465845,0.00011369914,0.00022991111,0.0002929884,0.000052556483,0.00046110692,0.0020009698],"study_design_scores_gemma":[0.00015456021,0.00085250504,0.9952567,0.000029083078,0.00035623123,0.00055601547,0.000101390135,0.0016031148,0.00022781866,0.000090956375,0.0007497274,0.000021913356],"about_ca_topic_score_codex":0.0037346429,"about_ca_topic_score_gemma":0.0038757536,"teacher_disagreement_score":0.0065720496,"about_ca_system_score_codex":0.0006333279,"about_ca_system_score_gemma":0.0009075765,"threshold_uncertainty_score":0.03475678},"labels":[],"label_agreement":null},{"id":"W4318482190","doi":"10.2196/41548","title":"Patients’ Experiences With the Fit of Virtual Atrial Fibrillation Care During the Pandemic: Qualitative Descriptive Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Montréal; Montreal Heart Institute; University of British Columbia; Royal Columbian Hospital; BC Innovation Council; University of British Columbia, Okanagan Campus","funders":"Canadian Institutes of Health Research","keywords":"Focus group; Health care; Descriptive statistics; Virtual patient; Medicine; Nursing; Psychology; Family medicine; Medical emergency; Business","score_opus":0.08492040064290356,"score_gpt":0.37563274582197637,"score_spread":0.2907123451790728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318482190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940837,0.000550328,0.0010326325,0.0018452571,0.0000439701,0.0001997065,0.00016156262,0.000012244466,0.0020706055],"genre_scores_gemma":[0.9969873,0.0005663505,0.000566812,0.0007852006,0.000014095368,0.000304996,0.000057859495,0.000011956219,0.00070537766],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9895539,0.00755538,0.0004189569,0.00051045895,0.00063533336,0.001325894],"domain_scores_gemma":[0.98228884,0.012936592,0.0014128353,0.00036884737,0.0011961956,0.0017968406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014299861,0.0004931075,0.0009838715,0.00147262,0.006513252,0.0041615544,0.0018927465,0.0018220926,0.0029674612],"category_scores_gemma":[0.024262534,0.00085300993,0.0006505626,0.0015047753,0.006002466,0.004816031,0.005232067,0.003172761,0.00032590402],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035528625,0.000051334573,0.004781123,0.00015745769,0.000006200904,0.00047810905,0.99060094,0.00003208841,0.00027490093,0.0005243777,0.00040318165,0.0026547434],"study_design_scores_gemma":[0.0000041144094,0.000060855557,0.0014455531,0.00011564336,0.000004002999,0.00022187257,0.9956807,0.000062020095,0.00007955589,0.00012903176,0.0021829647,0.000013670887],"about_ca_topic_score_codex":0.00616009,"about_ca_topic_score_gemma":0.0082609225,"teacher_disagreement_score":0.014299861,"about_ca_system_score_codex":0.004266026,"about_ca_system_score_gemma":0.0047112647,"threshold_uncertainty_score":0.07562578},"labels":[],"label_agreement":null},{"id":"W4319294973","doi":"10.2196/39097","title":"The Impact and Perception of England’s Web-Based Heart Age Test of Cardiovascular Disease Risk: Mixed Methods Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Public Health England","keywords":"Test (biology); Thematic analysis; Population; Risk perception; Medicine; Disease; Perception; Psychology; Family medicine; Gerontology; Demography; Qualitative research; Environmental health; Internal medicine","score_opus":0.02800259894595991,"score_gpt":0.3860782239326815,"score_spread":0.3580756249867216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319294973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966139,0.00075950666,0.00031820123,0.00015881994,0.000017067327,0.00030687766,0.0010763434,0.0000045605825,0.0007446556],"genre_scores_gemma":[0.9951786,0.0008173855,0.00091190723,0.000568191,0.00003509463,0.0008728745,0.0007739843,0.000009964486,0.0008320223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99416864,0.0028927177,0.0008833387,0.0006314849,0.0009215093,0.00050237274],"domain_scores_gemma":[0.987651,0.0054769325,0.003043567,0.00079925824,0.0023159098,0.00071324117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0081185205,0.00039820225,0.00096599106,0.0015314214,0.00099903,0.0018636707,0.0008242991,0.0007489849,0.0028230369],"category_scores_gemma":[0.015102997,0.0006870846,0.0013852332,0.0018271566,0.0005818384,0.0019409003,0.0017900203,0.0007587951,0.000595417],"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":[0.0005401979,0.0007779358,0.969959,0.000801839,0.00036168992,0.00031188407,0.015006363,0.00002949677,0.0002722689,0.00013128098,0.001034519,0.010773478],"study_design_scores_gemma":[0.0000899671,0.001916695,0.9517476,0.00073595083,0.00033777373,0.0005760865,0.040819965,0.00039682662,0.00026148892,0.00010831537,0.002950276,0.000059096186],"about_ca_topic_score_codex":0.025638223,"about_ca_topic_score_gemma":0.035055593,"teacher_disagreement_score":0.025638223,"about_ca_system_score_codex":0.0017724608,"about_ca_system_score_gemma":0.0017098327,"threshold_uncertainty_score":0.050978005},"labels":[],"label_agreement":null},{"id":"W4321360147","doi":"10.2196/43781","title":"Implementation and User Evaluation of an eHealth Technology Platform Supporting Patients With Cardiovascular Disease in Managing Their Health After a Cardiac Event: Mixed Methods Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Medical Delta; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; ZonMw","keywords":"eHealth; Usability; Coaching; Rehabilitation; Incentive; Medicine; Set (abstract data type); Disease management; Health management system; Computer science; Knowledge management; Medical education; Health care; Psychology; Physical therapy; Human–computer interaction; Alternative medicine","score_opus":0.030840348662109867,"score_gpt":0.4375696876948049,"score_spread":0.40672933903269504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321360147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99352926,0.00019860397,0.0009891763,0.000076663855,0.00002086709,0.004404447,0.00021984336,0.000015166198,0.0005460417],"genre_scores_gemma":[0.95906675,0.0007019047,0.011105364,0.0007276372,0.00007951722,0.025839,0.0004522656,0.000030210043,0.0019973686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98436016,0.010554977,0.0016606039,0.0010226538,0.0013952475,0.0010064592],"domain_scores_gemma":[0.9741799,0.014513188,0.0028405269,0.0019244453,0.0052622817,0.0012795932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02720615,0.0010950117,0.0015235172,0.0015198439,0.0023002853,0.0024526336,0.0012299751,0.0014995985,0.0027854987],"category_scores_gemma":[0.026385954,0.0009315135,0.0023838764,0.0012503904,0.0011269297,0.0017792756,0.0017728169,0.0012214623,0.00062537054],"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":[0.019763868,0.12405199,0.31977707,0.00677338,0.0023502032,0.0015856483,0.2556782,0.0009808707,0.0075350963,0.000791701,0.0029062112,0.2578058],"study_design_scores_gemma":[0.009724924,0.27615997,0.44584596,0.002365379,0.0023680592,0.0010584366,0.23118028,0.005922317,0.008879931,0.000966936,0.014777197,0.0007504989],"about_ca_topic_score_codex":0.003899387,"about_ca_topic_score_gemma":0.0065930593,"teacher_disagreement_score":0.02720615,"about_ca_system_score_codex":0.0026224162,"about_ca_system_score_gemma":0.0043108445,"threshold_uncertainty_score":0.14388162},"labels":[],"label_agreement":null},{"id":"W4321454026","doi":"10.2196/38900","title":"Engagement in Self-measured Blood Pressure Monitoring Among Medically Underresourced Participants (the Reach Out Trial): Digital Framework Qualitative Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; National Institutes of Health","keywords":"mHealth; Psychological intervention; Blood pressure; Medicine; Intervention (counseling); Randomized controlled trial; Digital health; Emergency department; Self-monitoring; Qualitative research; Psychology; Health care; Nursing; Social psychology; Internal medicine","score_opus":0.17118035764002404,"score_gpt":0.5056646977462054,"score_spread":0.33448434010618133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321454026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884941,0.0005828806,0.0021883708,0.0037246146,0.00006796334,0.0014571,0.00040944628,0.00002047048,0.0030549862],"genre_scores_gemma":[0.98757786,0.0006172558,0.0020783558,0.0033576887,0.000042399828,0.004043492,0.00023651228,0.00003117935,0.0020152223],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.986791,0.010398532,0.00031672185,0.0005034896,0.0005104965,0.0014797015],"domain_scores_gemma":[0.9778151,0.016351288,0.0013050388,0.0005122338,0.0016008667,0.002415438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024246098,0.0004728188,0.0008550236,0.0011443245,0.006011292,0.002352303,0.0017426801,0.0016848897,0.0045407265],"category_scores_gemma":[0.027029922,0.00058203866,0.0005554889,0.0011108133,0.0052549243,0.0033199403,0.0054599163,0.002729043,0.00049418287],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023420641,0.00041360196,0.0059023886,0.00041636932,0.000015935528,0.00055335026,0.9794335,0.00004602105,0.0007001787,0.0012332498,0.0015351467,0.009516066],"study_design_scores_gemma":[0.00008236096,0.00054815697,0.005005309,0.000588603,0.000019888252,0.00016482148,0.98230284,0.00023771578,0.00035541123,0.00082045933,0.009841452,0.000033114495],"about_ca_topic_score_codex":0.011298947,"about_ca_topic_score_gemma":0.017087655,"teacher_disagreement_score":0.024246098,"about_ca_system_score_codex":0.005254334,"about_ca_system_score_gemma":0.007815641,"threshold_uncertainty_score":0.12822717},"labels":[],"label_agreement":null},{"id":"W4324011588","doi":"10.2196/44179","title":"Cardio4Health Study, a Cardiac Telerehabilitation Pilot Program Aimed at Patients After an Ischemic Event: Cross-sectional Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Grupo Ferrer Internacional, S.A","keywords":"Medicine; Ejection fraction; Myocardial infarction; Physical therapy; Rehabilitation; Telerehabilitation; Heart failure; Quality of life (healthcare); Internal medicine; Aerobic exercise; Cardiology; Telemedicine; Health care","score_opus":0.030748437237167418,"score_gpt":0.40742717840237047,"score_spread":0.37667874116520306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324011588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99814475,0.00014741383,0.00011709245,0.000033899905,0.000011913114,0.00060236675,0.0003783451,0.0000062245563,0.0005579737],"genre_scores_gemma":[0.9958786,0.00025210326,0.00053356215,0.00034448967,0.00006708762,0.0012104586,0.0011772185,0.0000068016743,0.0005296912],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919266,0.00032892777,0.00007301539,0.0001597075,0.00012087439,0.00012476953],"domain_scores_gemma":[0.9988285,0.00017975942,0.00026919722,0.00008860427,0.0001724496,0.00046151888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015465505,0.0006916398,0.00066513,0.00080573646,0.0009785966,0.000676154,0.00048332795,0.0010725913,0.0020116197],"category_scores_gemma":[0.0016091618,0.000713759,0.00079624564,0.0008173278,0.00039035,0.0008704317,0.00065414875,0.0010061719,0.0006988145],"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":[0.0033565164,0.011978024,0.97720784,0.00016361199,0.00034768842,0.0002840829,0.00069786253,0.00007315975,0.0008585235,0.000035688005,0.0004853652,0.0045115305],"study_design_scores_gemma":[0.0017340712,0.013291034,0.98251814,0.000035220855,0.00023482283,0.00030078556,0.0009032577,0.00020233226,0.00011255463,0.000019080211,0.00062831544,0.000020447116],"about_ca_topic_score_codex":0.003440475,"about_ca_topic_score_gemma":0.005136832,"teacher_disagreement_score":0.003440475,"about_ca_system_score_codex":0.00043910372,"about_ca_system_score_gemma":0.0007942149,"threshold_uncertainty_score":0.008179009},"labels":[],"label_agreement":null},{"id":"W4324286705","doi":"10.2196/45299","title":"Accuracy of Artificial Intelligence–Based Automated Quantitative Coronary Angiography Compared to Intravascular Ultrasound: Retrospective Cohort Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Intravascular ultrasound; Medicine; Radiology; Coronary angiography; Correlation; Angiography; Stenosis; Lesion; Cardiology; Internal medicine; Nuclear medicine; Surgery; Mathematics; Myocardial infarction","score_opus":0.03736562745858184,"score_gpt":0.35885976684343196,"score_spread":0.3214941393848501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324286705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99923766,0.00013481676,0.0003185428,0.000010070567,0.0000045834036,0.000013752473,0.0001508054,0.0000055096025,0.00012431241],"genre_scores_gemma":[0.9995541,0.00003972043,0.00013193005,0.000008594989,0.000007779483,0.000013964089,0.00020741776,0.0000031410407,0.00003332375],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99702805,0.00092431303,0.00039870734,0.0008437962,0.0006269198,0.00017816064],"domain_scores_gemma":[0.9905131,0.002905883,0.0030119328,0.0017015652,0.0014674608,0.0004000481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033782304,0.00039393446,0.0006072596,0.0013870622,0.0003236231,0.0009767751,0.00063185435,0.00056495814,0.00077606],"category_scores_gemma":[0.009610351,0.00037584882,0.0007248531,0.0010371894,0.0006504076,0.0007089194,0.00055920513,0.00041500133,0.00020572553],"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":[0.00021827033,0.000026798405,0.9983078,0.000008448422,0.00010458114,0.000045010813,0.000054412725,0.000078662495,0.00018805153,0.000017770257,0.000032832304,0.0009173772],"study_design_scores_gemma":[0.00002897408,0.00041078392,0.99663275,0.0000083576115,0.00015463684,0.00043775828,0.000119622484,0.0017428381,0.00022478231,0.00004823906,0.00017473257,0.000016568965],"about_ca_topic_score_codex":0.0015736388,"about_ca_topic_score_gemma":0.0009786399,"teacher_disagreement_score":0.0033782304,"about_ca_system_score_codex":0.00037110478,"about_ca_system_score_gemma":0.0003309948,"threshold_uncertainty_score":0.017866015},"labels":[],"label_agreement":null},{"id":"W4361856200","doi":"10.2196/44791","title":"Feasibility of Artificial Intelligence–Based Electrocardiography Analysis for the Prediction of Obstructive Coronary Artery Disease in Patients With Stable Angina: Validation Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Science and ICT, South Korea; Ministry of Trade, Industry and Energy; Ministry of Food and Drug Safety; Korea Medical Device Development Fund","keywords":"Medicine; Coronary artery disease; Cardiology; Internal medicine; Receiver operating characteristic; Unstable angina; Electrocardiography; Angina; Myocardial infarction; CAD; Acute coronary syndrome; Area under the curve","score_opus":0.030285016658106446,"score_gpt":0.29241733398558506,"score_spread":0.2621323173274786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361856200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997851,0.00007958307,0.0014235567,0.00004156833,0.00001119391,0.0001594707,0.00012995525,0.000012663585,0.00029092655],"genre_scores_gemma":[0.9985719,0.000033098975,0.0009396632,0.000030734584,0.000013946829,0.00007665447,0.0002832141,0.0000026337827,0.000048158723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99804556,0.0012859046,0.00010702757,0.00021520292,0.00025459792,0.000091648],"domain_scores_gemma":[0.99097973,0.0052449345,0.00081537635,0.00092795247,0.0014057157,0.00062627264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008189529,0.00076201715,0.0004149778,0.0007378036,0.00023681628,0.0005649522,0.00053301844,0.0006761592,0.0005819871],"category_scores_gemma":[0.015630247,0.00020671732,0.0006214834,0.00033714224,0.0006762997,0.00044497426,0.0004925919,0.000558534,0.00028058578],"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":[0.0036154822,0.0015106727,0.97903985,0.000032718493,0.00033218294,0.000084475796,0.00019725683,0.0014968126,0.0019431685,0.00007057968,0.00020357454,0.011473292],"study_design_scores_gemma":[0.0011132874,0.011574,0.95322526,0.000024211906,0.00026892938,0.00036678408,0.00012364105,0.031177439,0.0014552131,0.0002212062,0.00042371763,0.000026311543],"about_ca_topic_score_codex":0.000777096,"about_ca_topic_score_gemma":0.00065251515,"teacher_disagreement_score":0.008189529,"about_ca_system_score_codex":0.00030258312,"about_ca_system_score_gemma":0.00059197884,"threshold_uncertainty_score":0.04331088},"labels":[],"label_agreement":null},{"id":"W4361989893","doi":"10.2196/43940","title":"Preliminary Efficacy, Feasibility, and Perceived Usefulness of a Smartphone-Based Self-Management System With Personalized Goal Setting and Feedback to Increase Step Count Among Workers With High Blood Pressure: Before-and-After Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Tokyo; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Goal setting; Self-management; Blood pressure; Extant taxon; Self-monitoring; Medicine; Physical therapy; Self-efficacy; Intervention (counseling); Psychology; Computer science; Nursing; Social psychology","score_opus":0.015788720859529988,"score_gpt":0.30970610403742327,"score_spread":0.2939173831778933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361989893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986964,0.00002822373,0.0001470739,0.0000232178,0.000015114309,0.0008472458,0.000053663425,0.000009106957,0.0001800491],"genre_scores_gemma":[0.9945657,0.0000952759,0.0017423527,0.00011678281,0.000046647656,0.0026979384,0.00013495296,0.0000071619984,0.00059312966],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9973029,0.0012111678,0.00036488724,0.00028934187,0.0004590995,0.00037254914],"domain_scores_gemma":[0.993899,0.0025722357,0.00072053465,0.00060416735,0.0011794834,0.0010245898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005505897,0.00096868817,0.0011927043,0.0005811188,0.0010525786,0.0006016498,0.0006112537,0.0011251149,0.0020563938],"category_scores_gemma":[0.0069857882,0.00063509075,0.0018629929,0.00027892782,0.00074901915,0.0008055676,0.00061542523,0.0015727931,0.000499125],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.061969027,0.7149004,0.103967026,0.0017158261,0.0010026682,0.00033124373,0.0065712733,0.00071453454,0.017350817,0.00008893582,0.0007929141,0.0905953],"study_design_scores_gemma":[0.010956542,0.69821626,0.2805672,0.000062956744,0.00075747905,0.000056786877,0.0014589343,0.0012832206,0.005817999,0.00005074483,0.00070128456,0.00007058976],"about_ca_topic_score_codex":0.0016431514,"about_ca_topic_score_gemma":0.0021654302,"teacher_disagreement_score":0.005505897,"about_ca_system_score_codex":0.00053059525,"about_ca_system_score_gemma":0.0012631075,"threshold_uncertainty_score":0.02911836},"labels":[],"label_agreement":null},{"id":"W4362714464","doi":"10.2196/44433","title":"The Association Between Mobile App Use and Change in Functional Capacity Among Cardiac Rehabilitation Participants: Cohort Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; University of California, San Francisco; National Institutes of Health","keywords":"Socioeconomic status; Medicine; Telehealth; Cohort; Referral; Ethnic group; Gerontology; Logistic regression; Rehabilitation; Cohort study; Physical therapy; Demography; Telemedicine; Family medicine; Health care; Population; Internal medicine; Environmental health","score_opus":0.0679538692367424,"score_gpt":0.3574696206959694,"score_spread":0.289515751459227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362714464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997618,0.00017269737,0.00012287538,0.000058388872,0.0000151366985,0.000087931054,0.001485062,0.0000047756766,0.00043500538],"genre_scores_gemma":[0.9979761,0.0001599797,0.00022201981,0.00011797401,0.000022258851,0.00015965855,0.0009583406,0.0000055519854,0.0003781007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902797,0.00018188903,0.00013057617,0.00026839366,0.00019933382,0.00019189391],"domain_scores_gemma":[0.9980184,0.00024891883,0.0007301904,0.00023388397,0.00043318418,0.0003355282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014594259,0.0003511166,0.00040788445,0.0007595605,0.00088960433,0.0010566189,0.00067165797,0.0007059708,0.0017906927],"category_scores_gemma":[0.0035394751,0.0005233717,0.000800883,0.0012482111,0.0002673342,0.0008707038,0.000778406,0.001252826,0.00051534845],"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":[0.00015644822,0.00018139678,0.9979304,0.000025136806,0.00015148161,0.00004028551,0.00018142896,0.000012419008,0.000114822404,0.000012248948,0.00029441577,0.00089945935],"study_design_scores_gemma":[0.000025006251,0.00025676214,0.9986376,0.000022531989,0.00009077621,0.00011672303,0.00033885462,0.0001413857,0.000031562275,0.000013682044,0.00031796162,0.000007143487],"about_ca_topic_score_codex":0.015773468,"about_ca_topic_score_gemma":0.022908006,"teacher_disagreement_score":0.015773468,"about_ca_system_score_codex":0.00036592476,"about_ca_system_score_gemma":0.00067458744,"threshold_uncertainty_score":0.03136331},"labels":[],"label_agreement":null},{"id":"W4366958738","doi":"10.2196/45190","title":"Continuous Data-Driven Monitoring in Critical Congenital Heart Disease: Clinical Deterioration Model Development","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Perioperative; Heart rate; Oxygen saturation; Intensive care medicine; Respiratory rate; Emergency medicine; Blood pressure; Pediatrics; Internal medicine; Anesthesia","score_opus":0.21660854010518046,"score_gpt":0.47133946109873637,"score_spread":0.2547309209935559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366958738","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2677634,0.0014224767,0.71790564,0.0025306558,0.000206776,0.0007959729,0.0031385322,0.0026384415,0.0035981287],"genre_scores_gemma":[0.88297236,0.00038670903,0.111997366,0.00025876248,0.000070929396,0.0006744666,0.0022260954,0.000039278777,0.0013739966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992943,0.00023838998,0.00006659654,0.00019387771,0.000121129146,0.00008568406],"domain_scores_gemma":[0.99602747,0.0026233166,0.00028391447,0.00012886674,0.0007871019,0.00014931164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031691361,0.000917005,0.0006769997,0.0012138162,0.00034689324,0.0011590458,0.001315817,0.0010811841,0.0016935322],"category_scores_gemma":[0.008667812,0.00036473727,0.0008576424,0.0005305507,0.00034612542,0.0005843527,0.001061133,0.0017546479,0.00047250366],"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":[0.00036174216,0.0003663766,0.058162183,0.00014467789,0.00020905661,0.0002383316,0.00014481842,0.83576787,0.0009237762,0.003077114,0.0028154943,0.09778864],"study_design_scores_gemma":[0.0000054469365,0.00002759574,0.0010540218,0.000007708225,0.000008773033,0.000017098395,0.000007018968,0.9979284,0.00014002505,0.0006289666,0.00017201035,0.000002928627],"about_ca_topic_score_codex":0.01788378,"about_ca_topic_score_gemma":0.009544593,"teacher_disagreement_score":0.01788378,"about_ca_system_score_codex":0.0014333867,"about_ca_system_score_gemma":0.0018388378,"threshold_uncertainty_score":0.035559356},"labels":[],"label_agreement":null},{"id":"W4367834059","doi":"10.2196/40524","title":"Data Quality Degradation on Prediction Models Generated From Continuous Activity and Heart Rate Monitoring: Exploratory Analysis Using Simulation","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mean squared error; Missing data; Statistics; Computer science; Predictive modelling; Data set; Exploratory data analysis; Data quality; Data mining; Mathematics; Engineering","score_opus":0.14519684229161053,"score_gpt":0.336502451211108,"score_spread":0.19130560891949747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367834059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93608844,0.00030138728,0.062036194,0.0002147715,0.000031493753,0.00016207228,0.00041483776,0.00033231897,0.00041843322],"genre_scores_gemma":[0.98059523,0.000076776516,0.018615622,0.000029938245,0.0000053910617,0.000104966384,0.00045307912,0.000020995998,0.0000981219],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979692,0.0010966102,0.00018368277,0.00028076582,0.0003236653,0.00014598564],"domain_scores_gemma":[0.96438664,0.030501073,0.0015043311,0.0013066061,0.002070661,0.00023083694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009887074,0.0011494473,0.000640105,0.00060467795,0.0003556908,0.0006689143,0.00092712295,0.0010266951,0.00054174714],"category_scores_gemma":[0.024341976,0.00056340435,0.0013487515,0.00040124267,0.00072425854,0.0008404084,0.00081733795,0.001494123,0.000120352954],"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":[0.00057453813,0.00022277357,0.0248108,0.00015982948,0.00017764818,0.00011481801,0.00015259124,0.96231866,0.002974914,0.00035358712,0.00021811375,0.007921696],"study_design_scores_gemma":[0.000013841248,0.00019816661,0.0033700345,0.000014517294,0.000025963802,0.000024246714,0.000026358164,0.99379116,0.0022575594,0.00019718369,0.00007001788,0.00001093377],"about_ca_topic_score_codex":0.012165797,"about_ca_topic_score_gemma":0.005443657,"teacher_disagreement_score":0.012165797,"about_ca_system_score_codex":0.0011039891,"about_ca_system_score_gemma":0.0009908425,"threshold_uncertainty_score":0.052288473},"labels":[],"label_agreement":null},{"id":"W4376121809","doi":"10.2196/45230","title":"Determining Optimal Intervals for In-Person Visits During Video-Based Telemedicine Among Patients With Hypertension: Cluster Randomized Controlled Trial","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Telemedicine; Confidence interval; Randomized controlled trial; Blood pressure; Odds ratio; Patient satisfaction; Clinical endpoint; Physical therapy; Cluster (spacecraft); Cluster randomised controlled trial; Emergency medicine; Internal medicine; Health care; Surgery","score_opus":0.023248400864831684,"score_gpt":0.31121563239587086,"score_spread":0.28796723153103915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376121809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97329783,0.005701095,0.00216103,0.00060288474,0.00073225953,0.015615623,0.00058577466,0.00015633927,0.0011471519],"genre_scores_gemma":[0.98031026,0.0011155322,0.003950488,0.00057749805,0.00032823265,0.012903408,0.00034515635,0.000012941888,0.00045645534],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99443084,0.0033389593,0.00052191864,0.0008847817,0.00037130644,0.00045216375],"domain_scores_gemma":[0.9939288,0.002687026,0.0014946862,0.0004247357,0.00044862335,0.0010161438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062974705,0.0013476881,0.005369104,0.00079966936,0.00077875477,0.0012114916,0.001339928,0.0024644225,0.0039709117],"category_scores_gemma":[0.008444697,0.00091696833,0.0035218436,0.0010580493,0.0012689867,0.0014597276,0.00077253487,0.002407497,0.00029509605],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9818049,0.006477647,0.001387323,0.00095735467,0.0019556417,0.000014234864,0.00004990461,0.000307837,0.00028820543,0.000066886634,0.00023752822,0.0064526545],"study_design_scores_gemma":[0.9637242,0.03130158,0.0023083342,0.00007113608,0.0012439929,0.000009941086,0.000026709558,0.0009143951,0.00013764428,0.00011548839,0.00013094115,0.000015683541],"about_ca_topic_score_codex":0.0017309107,"about_ca_topic_score_gemma":0.0025322866,"teacher_disagreement_score":0.0062974705,"about_ca_system_score_codex":0.0013928595,"about_ca_system_score_gemma":0.0027981568,"threshold_uncertainty_score":0.033304572},"labels":[],"label_agreement":null},{"id":"W4379514310","doi":"10.2196/44003","title":"Electrocardiogram Devices for Home Use: Technological and Clinical Scoping Review","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"ZonMw; Dutch Cardiovascular Alliance","keywords":"Usability; Mobile device; Food and drug administration; Heart Rhythm; Medicine; The Internet; Computer science; Medical emergency; World Wide Web; Human–computer interaction; Cardiology","score_opus":0.08250459246943462,"score_gpt":0.4372819288811268,"score_spread":0.3547773364116922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379514310","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022663403,0.9975738,0.00018240973,0.000498146,0.00020968,0.00012878278,0.00019907196,0.0000071063214,0.0009743347],"genre_scores_gemma":[0.0017613095,0.9968707,0.00040934683,0.00034812288,0.00011964431,0.00018011923,0.00017550988,0.0000032258308,0.000131992],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99278754,0.0021452727,0.0029734608,0.0004014174,0.0015164476,0.00017591444],"domain_scores_gemma":[0.951405,0.038401674,0.0048485426,0.0006336033,0.004435876,0.0002753401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0082335975,0.0012553063,0.003029642,0.01678881,0.00077740935,0.0033265958,0.0018798243,0.0027680944,0.008885042],"category_scores_gemma":[0.044849858,0.0007124722,0.003448425,0.012738956,0.0009902281,0.0026948573,0.0019466561,0.0014302786,0.0013559],"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":[0.000083195715,0.00003824827,0.00066128856,0.6732297,0.00085877755,0.00024475995,0.0004475846,0.00017081891,0.00023952773,0.0016269176,0.012731714,0.3096676],"study_design_scores_gemma":[0.00003182422,0.00006231938,0.0012942068,0.902024,0.003043821,0.00047109532,0.0003082868,0.000068811416,0.00013258676,0.00067268865,0.09187059,0.000019894815],"about_ca_topic_score_codex":0.004743263,"about_ca_topic_score_gemma":0.00794876,"teacher_disagreement_score":0.01678881,"about_ca_system_score_codex":0.0025345304,"about_ca_system_score_gemma":0.011824571,"threshold_uncertainty_score":0.043543935},"labels":[],"label_agreement":null},{"id":"W4380871538","doi":"10.2196/46828","title":"Cardiac Rehabilitation Facebook Intervention: Feasibility Randomized Controlled Trial","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Rehabilitation; Likert scale; Competence (human resources); Psychological intervention; Randomized controlled trial; Psychology; Physical therapy; Autonomy; Feeling; Self-determination theory; Clinical psychology; Medicine; Social psychology; Psychiatry; Developmental psychology","score_opus":0.07670587035342391,"score_gpt":0.4396386930398547,"score_spread":0.3629328226864308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380871538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7255964,0.010452858,0.0030460814,0.0030375181,0.0036114033,0.24472997,0.00278342,0.000587645,0.0061546597],"genre_scores_gemma":[0.6566855,0.0050896457,0.009734724,0.0026217361,0.0016431238,0.31691775,0.00082867313,0.00003981308,0.006439007],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99650216,0.0021015594,0.0002992528,0.00042117178,0.00031460339,0.0003612557],"domain_scores_gemma":[0.9970023,0.0012253884,0.00062926323,0.00022413686,0.0002967437,0.000622114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043541966,0.0017539756,0.0044800634,0.0011214301,0.0012929381,0.0018029938,0.0013519563,0.0041491115,0.019372234],"category_scores_gemma":[0.0074078194,0.0011870147,0.0019175402,0.0009914463,0.0019394839,0.0018828721,0.0013512026,0.0023124646,0.0020126414],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.946423,0.026776236,0.00049366057,0.004119509,0.0009890067,0.000073052324,0.00010657787,0.00014215267,0.0006820154,0.00017597596,0.0010561402,0.018962665],"study_design_scores_gemma":[0.9764666,0.02187491,0.00073789665,0.00016446668,0.00019618192,0.000011330012,0.00003054771,0.00009010501,0.00005882444,0.0000777974,0.00028413258,0.000007360615],"about_ca_topic_score_codex":0.0021645073,"about_ca_topic_score_gemma":0.0034745387,"teacher_disagreement_score":0.019372234,"about_ca_system_score_codex":0.0014471048,"about_ca_system_score_gemma":0.003739088,"threshold_uncertainty_score":0.06480652},"labels":[],"label_agreement":null},{"id":"W4381249868","doi":"10.2196/46533","title":"A Web-Based Application for Risk Stratification and Optimization in Patients With Cardiovascular Disease: Pilot Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McMaster University; Cambridge Cardiac Care Centre; University of Ottawa","funders":"","keywords":"Medicine; Psychological intervention; Aspirin; Disease; Residual risk; Comorbidity; Framingham Risk Score; Ramipril; Intensive care medicine; Statin; Physical therapy; Internal medicine; Blood pressure","score_opus":0.013816413085635672,"score_gpt":0.25293773201592573,"score_spread":0.23912131893029007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381249868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98388183,0.00013827506,0.0075055314,0.00035897922,0.000048307797,0.0038232312,0.0014087185,0.0013098589,0.0015253291],"genre_scores_gemma":[0.9483236,0.00029785463,0.040406175,0.00055241387,0.00012937296,0.006209031,0.0023558007,0.00017795994,0.0015477309],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982139,0.0012195109,0.00013299142,0.00014390187,0.00016374816,0.00012595832],"domain_scores_gemma":[0.98975617,0.007818735,0.0003867894,0.00063880143,0.00056654395,0.00083298254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005153217,0.0006303942,0.0006041811,0.00060220086,0.00031468357,0.0008198399,0.0006599762,0.00070484745,0.0051537817],"category_scores_gemma":[0.014513152,0.00025857528,0.00061716035,0.00038853846,0.0003735623,0.0008452478,0.0011245137,0.0006365242,0.0013423932],"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":[0.046320125,0.10314393,0.18179436,0.0021399527,0.0008215035,0.0018375852,0.004270921,0.0064849895,0.007894603,0.0009505895,0.01963478,0.6247067],"study_design_scores_gemma":[0.061919488,0.21914394,0.56318533,0.00080410216,0.0020871188,0.002610239,0.0033538814,0.09270947,0.01522507,0.0025580698,0.035902437,0.00050097017],"about_ca_topic_score_codex":0.0007509141,"about_ca_topic_score_gemma":0.0006076197,"teacher_disagreement_score":0.0051537817,"about_ca_system_score_codex":0.00027531586,"about_ca_system_score_gemma":0.0008893683,"threshold_uncertainty_score":0.027253151},"labels":[],"label_agreement":null},{"id":"W4381309868","doi":"10.2196/45352","title":"Prediction of Outcomes After Heart Transplantation in Pediatric Patients Using National Registry Data: Evaluation of Machine Learning Approaches","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; U.S. National Library of Medicine; National Institutes of Health; Florida State University","keywords":"Gradient boosting; AdaBoost; Machine learning; Random forest; Artificial intelligence; Medicine; Receiver operating characteristic; Softmax function; Transplantation; Multilayer perceptron; Logistic regression; Stochastic gradient descent; Heart transplantation; Support vector machine; Computer science; Internal medicine; Artificial neural network","score_opus":0.21903730099140434,"score_gpt":0.3846664664344567,"score_spread":0.16562916544305234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381309868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97143453,0.002751059,0.020051802,0.0015449313,0.00012707018,0.00018648632,0.00251342,0.00024840463,0.0011423508],"genre_scores_gemma":[0.983135,0.00072888203,0.013253064,0.00010655891,0.00009160765,0.000090986,0.0024397834,0.000021453281,0.0001327211],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.992577,0.005269681,0.00044110886,0.0008210984,0.0006669151,0.00022419555],"domain_scores_gemma":[0.9704451,0.02155362,0.0032389082,0.001517688,0.002441785,0.0008029883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0200127,0.0010545494,0.0009986222,0.0020610725,0.00033347963,0.0011322901,0.0011809792,0.0008729896,0.0006918088],"category_scores_gemma":[0.032568436,0.00031044235,0.0014689035,0.0013313263,0.0003500708,0.0014089174,0.0012386687,0.0016504963,0.00027705455],"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":[0.00087781873,0.00049418194,0.86962813,0.00016933297,0.0011047316,0.000065502514,0.00010372521,0.07006829,0.00014334542,0.00032512876,0.0016893924,0.055330303],"study_design_scores_gemma":[0.000121614125,0.0010251552,0.15646105,0.0001752981,0.0003515097,0.00016201189,0.00022843349,0.83903396,0.00063846033,0.0008111301,0.0009508138,0.000040506835],"about_ca_topic_score_codex":0.005615085,"about_ca_topic_score_gemma":0.0045193955,"teacher_disagreement_score":0.0200127,"about_ca_system_score_codex":0.0008477572,"about_ca_system_score_gemma":0.00143996,"threshold_uncertainty_score":0.1058386},"labels":[],"label_agreement":null},{"id":"W4381715103","doi":"10.2196/45611","title":"Smartphone-Based Remote Monitoring in Heart Failure With Reduced Ejection Fraction: Retrospective Cohort Study of Secondary Care Use and Costs","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Rosetrees Trust; Academy of Medical Sciences; British Heart Foundation; National Institute for Health and Care Research; UK Research and Innovation; AstraZeneca; Imperial Health Charity; Israel Cancer Research Fund","keywords":"Medicine; Ejection fraction; Emergency department; Attendance; Retrospective cohort study; Heart failure; Emergency medicine; Cohort; Demographics; Vital signs; Proportional hazards model; Pediatrics; Internal medicine; Surgery; Demography","score_opus":0.015333871726062393,"score_gpt":0.28163040316924126,"score_spread":0.2662965314431789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381715103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998572,0.00015585672,0.00007916314,0.000017019316,0.0000041539633,0.00004330883,0.0008895234,0.0000020053494,0.00023688332],"genre_scores_gemma":[0.9988458,0.000110389024,0.000077922785,0.00004281527,0.000011911457,0.00006228408,0.0007432864,0.0000019909498,0.000103646715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906975,0.00022234727,0.0001401856,0.00024401002,0.00018780134,0.0001358653],"domain_scores_gemma":[0.9983015,0.00018315887,0.00094156724,0.00018263493,0.00017843992,0.00021269957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077697943,0.00035474886,0.0005284212,0.000980048,0.0005515079,0.00076458196,0.00044547525,0.0005327996,0.0012379758],"category_scores_gemma":[0.0019479286,0.0004406674,0.0008084926,0.001659541,0.00026976116,0.00061288016,0.0007509621,0.00066837994,0.00034287496],"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":[0.0000823222,0.000045049215,0.9992968,0.000012422382,0.000039806706,0.000052651594,0.000046231664,0.00001242564,0.0000671353,0.000007405444,0.00006243981,0.00027527727],"study_design_scores_gemma":[0.000009398195,0.00011053886,0.999292,0.000008475361,0.000024194902,0.00019236482,0.00014556342,0.00010877148,0.000019129378,0.000007471089,0.00007888639,0.0000031276313],"about_ca_topic_score_codex":0.007987636,"about_ca_topic_score_gemma":0.0076719234,"teacher_disagreement_score":0.007987636,"about_ca_system_score_codex":0.0003828198,"about_ca_system_score_gemma":0.0003677182,"threshold_uncertainty_score":0.015882313},"labels":[],"label_agreement":null},{"id":"W4381939620","doi":"10.2196/43889","title":"Initial Implementation of the My Heart, My Life Program by the National Heart Foundation of Australia: Pilot Mixed Methods Evaluation Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart Foundation of Australia","keywords":"Disadvantaged; Medicine; National Service Framework; Coronary heart disease; Family medicine; Medical emergency; Gerontology; Internal medicine","score_opus":0.2238283872034791,"score_gpt":0.589843191487846,"score_spread":0.36601480428436695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381939620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98264796,0.000120364726,0.00038745123,0.00022232908,0.000019920832,0.015518519,0.00024435148,0.000020032738,0.00081904576],"genre_scores_gemma":[0.9306668,0.0003602823,0.0072817807,0.00051043305,0.000034316352,0.059704445,0.00046670105,0.000011174578,0.00096408185],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.98388344,0.011422468,0.0011167964,0.00065727497,0.0014611252,0.0014588189],"domain_scores_gemma":[0.9855274,0.004012365,0.0018989842,0.0010539563,0.0046212547,0.0028860192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028587323,0.0008435095,0.001537076,0.0009043209,0.0018523044,0.0014047092,0.0011847945,0.0011136316,0.0015975785],"category_scores_gemma":[0.02590227,0.00092098466,0.0013887025,0.00083537085,0.000976724,0.0016336208,0.0022676177,0.001430186,0.00036154836],"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":[0.030511048,0.22639666,0.26595804,0.0049107266,0.0014384831,0.0010600779,0.08627364,0.0013910322,0.003780538,0.00076024345,0.006094771,0.37142465],"study_design_scores_gemma":[0.020870117,0.26436666,0.66663736,0.0012613045,0.0008203853,0.00022756447,0.034337614,0.0025344042,0.0014163273,0.00040872188,0.0069157365,0.00020378448],"about_ca_topic_score_codex":0.02259403,"about_ca_topic_score_gemma":0.03541675,"teacher_disagreement_score":0.028587323,"about_ca_system_score_codex":0.0047738967,"about_ca_system_score_gemma":0.0119855795,"threshold_uncertainty_score":0.15118605},"labels":[],"label_agreement":null},{"id":"W4384663712","doi":"10.2196/43489","title":"Long-Term Results of a Digital Hypertension Self-Management Program: Retrospective Cohort Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Blood pressure; Cohort; Retrospective cohort study; Internal medicine; Cohort study; Diastole; Observational study","score_opus":0.026158814111915337,"score_gpt":0.2984351989568793,"score_spread":0.27227638484496397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384663712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987562,0.00016640735,0.00007459983,0.000023209363,0.00000771883,0.000026962798,0.0006535685,0.0000024874957,0.0002888916],"genre_scores_gemma":[0.99870455,0.00012203331,0.00009270365,0.00004936002,0.000015769041,0.000038142538,0.00080440583,0.0000032584014,0.00016994058],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844295,0.0003209985,0.00020775148,0.0003952314,0.0003679122,0.00026519035],"domain_scores_gemma":[0.99554634,0.00062068907,0.0019897465,0.0005396823,0.0005231678,0.000780369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018794261,0.0003077912,0.00045871284,0.0008761299,0.00084785046,0.0010760454,0.00060569606,0.00076928706,0.0012193031],"category_scores_gemma":[0.0038880538,0.0005345502,0.0008082954,0.0013678742,0.00041136544,0.0009414523,0.00070158247,0.0010052042,0.00041425053],"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":[0.000060592003,0.00004432295,0.99943465,0.0000045870624,0.000047369587,0.000027227137,0.00004266352,0.0000074538143,0.000034816934,0.000004531296,0.000036176134,0.00025554575],"study_design_scores_gemma":[0.000007792758,0.00016134832,0.99925464,0.000007226408,0.000044862238,0.00011572291,0.00021373488,0.00005741038,0.000019895178,0.000006500248,0.00010690164,0.0000039842835],"about_ca_topic_score_codex":0.011823612,"about_ca_topic_score_gemma":0.011524027,"teacher_disagreement_score":0.011823612,"about_ca_system_score_codex":0.0006313237,"about_ca_system_score_gemma":0.0006728105,"threshold_uncertainty_score":0.023509622},"labels":[],"label_agreement":null},{"id":"W4384820370","doi":"10.2196/48795","title":"Effective Prediction of Mortality by Heart Disease Among Women in Jordan Using the Chi-Squared Automatic Interaction Detection Model: Retrospective Validation Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Cutoff; Heart failure; Receiver operating characteristic; Blood pressure; Angina; Retrospective cohort study; Population; Medical record; Artificial intelligence; Machine learning; Internal medicine; Computer science","score_opus":0.09858131930949941,"score_gpt":0.462821780952782,"score_spread":0.36424046164328255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384820370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99850476,0.000068672234,0.0009942296,0.000039527542,0.000006048758,0.000025225498,0.00025406078,0.000008669636,0.00009882448],"genre_scores_gemma":[0.99791485,0.000062011466,0.0010749901,0.000019433272,0.000009571756,0.0000406711,0.00073043816,0.000004376201,0.00014375673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981937,0.0010077686,0.00015788783,0.00027842837,0.00024097667,0.00012123356],"domain_scores_gemma":[0.98756486,0.007337068,0.0014829612,0.0010413978,0.0021084195,0.00046527846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00851493,0.0006435859,0.0005103452,0.0013054911,0.00038053206,0.0006881006,0.0009391616,0.00048903696,0.0010816967],"category_scores_gemma":[0.014302934,0.0003306993,0.0013391204,0.00078148034,0.0003902073,0.0005616479,0.0006794326,0.0008490814,0.00035210833],"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":[0.00022299397,0.00017642225,0.99524057,0.000011285765,0.000117817464,0.00006408118,0.00015680729,0.0009798994,0.00008796922,0.000037644375,0.00016956689,0.0027349254],"study_design_scores_gemma":[0.00009851861,0.0021925613,0.8753968,0.00005350248,0.00032348713,0.0005214871,0.0013523883,0.11809116,0.0007760993,0.00027855037,0.00088484556,0.00003067602],"about_ca_topic_score_codex":0.0057452843,"about_ca_topic_score_gemma":0.0036995292,"teacher_disagreement_score":0.00851493,"about_ca_system_score_codex":0.00051606365,"about_ca_system_score_gemma":0.0010654564,"threshold_uncertainty_score":0.045031786},"labels":[],"label_agreement":null},{"id":"W4385264305","doi":"10.2196/47736","title":"Comparing Explainable Machine Learning Approaches With Traditional Statistical Methods for Evaluating Stroke Risk Models: Retrospective Cohort Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Research Council of Thailand","keywords":"Medicine; Logistic regression; Stroke (engine); Statistic; Cohort; Proportional hazards model; Retrospective cohort study; Machine learning; Hazard ratio; Naive Bayes classifier; Statistics; Decision tree; Boosting (machine learning); Artificial intelligence; Internal medicine; Computer science; Mathematics; Support vector machine; Confidence interval; Engineering","score_opus":0.17885750981944676,"score_gpt":0.3812605876951467,"score_spread":0.20240307787569994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385264305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9685903,0.0007526515,0.029024277,0.00014155403,0.000049516904,0.0002654533,0.0009628621,0.00004496259,0.00016838548],"genre_scores_gemma":[0.9880918,0.0002524042,0.009677737,0.000055243112,0.000048729424,0.0002856832,0.0014749765,0.00002091063,0.000092514536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98210907,0.013554933,0.0012702993,0.0017661346,0.000992013,0.0003075444],"domain_scores_gemma":[0.8818608,0.09200783,0.007996093,0.013049933,0.004066473,0.0010188821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0547392,0.00092608965,0.00092662574,0.0018854988,0.00044038834,0.00097213534,0.0012408787,0.0011581464,0.001147824],"category_scores_gemma":[0.088995494,0.00047139786,0.0028185532,0.0009891362,0.00067402027,0.0012424126,0.0011553653,0.0014255003,0.00017326769],"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":[0.0024888688,0.00037660502,0.9526941,0.00018594514,0.0052828733,0.00019727685,0.00032198546,0.021531567,0.00025721436,0.00080885127,0.0005841528,0.01527053],"study_design_scores_gemma":[0.0006044022,0.007473468,0.5629103,0.00022475055,0.0040803966,0.0011185528,0.001100808,0.4141312,0.0011486823,0.0049881167,0.0020514966,0.00016781435],"about_ca_topic_score_codex":0.0027280333,"about_ca_topic_score_gemma":0.0022591096,"teacher_disagreement_score":0.0547392,"about_ca_system_score_codex":0.0006083942,"about_ca_system_score_gemma":0.00090901315,"threshold_uncertainty_score":0.28949195},"labels":[],"label_agreement":null},{"id":"W4385642370","doi":"10.2196/44983","title":"Digital Transformation in the Diagnostics and Therapy of Cardiovascular Diseases: Comprehensive Literature Review","year":2023,"lang":"en","type":"review","venue":"JMIR Cardio","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Intensive care medicine; Presentation (obstetrics); Myocardial infarction; Disease; Coronary artery disease; Medical emergency; Internal medicine; Surgery","score_opus":0.18075881705415983,"score_gpt":0.4475587720659454,"score_spread":0.26679995501178555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385642370","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025515593,0.99888223,0.000084881125,0.00024646719,0.00007573613,0.000025931187,0.00006045926,0.0000034576267,0.00036558622],"genre_scores_gemma":[0.002364693,0.99682236,0.00028805685,0.00026134468,0.00010846758,0.00003317511,0.000067541114,0.0000016044784,0.000052759882],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99728405,0.00065576506,0.0010822869,0.00026550345,0.00059000484,0.00012234648],"domain_scores_gemma":[0.9821071,0.013740692,0.0021257699,0.00023189442,0.0015910284,0.0002034443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039584083,0.0010617924,0.0023195557,0.016234249,0.0006927632,0.002494609,0.0013341035,0.0016641635,0.004393661],"category_scores_gemma":[0.013975685,0.0005246306,0.002897541,0.0141558405,0.0008041553,0.002577506,0.0013783908,0.0010218935,0.0006554052],"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":[0.0001192512,0.000053471067,0.0011110094,0.65130514,0.0013911603,0.00035795313,0.0005225473,0.0002467754,0.00036351898,0.0018570923,0.009041747,0.3336304],"study_design_scores_gemma":[0.000049408096,0.00021378123,0.0062007634,0.8123506,0.011042161,0.0020528517,0.00075400993,0.00018619267,0.0003482497,0.001653146,0.16508919,0.000059650414],"about_ca_topic_score_codex":0.0034119245,"about_ca_topic_score_gemma":0.0066794455,"teacher_disagreement_score":0.016234249,"about_ca_system_score_codex":0.0018914245,"about_ca_system_score_gemma":0.0077881864,"threshold_uncertainty_score":0.020934284},"labels":[],"label_agreement":null},{"id":"W4386038848","doi":"10.2196/44732","title":"Physician- and Patient-Elicited Barriers and Facilitators to Implementation of a Machine Learning–Based Screening Tool for Peripheral Arterial Disease: Preimplementation Study With Physician and Patient Stakeholders","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Thematic analysis; Medicine; Implementation research; Intervention (counseling); Population; Family medicine; Health care; Medical education; Best practice; Qualitative research; Nursing; Psychological intervention","score_opus":0.09260024491923896,"score_gpt":0.40540051666591514,"score_spread":0.3128002717466762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386038848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99812335,0.00003846632,0.0004901782,0.00024871007,0.0000070858196,0.00066493556,0.000042051073,0.000007887612,0.0003773439],"genre_scores_gemma":[0.9947095,0.00011348945,0.0027372984,0.00035220163,0.000011731157,0.0016900457,0.00005908596,0.000010604485,0.00031598835],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.97265786,0.018712366,0.0019450388,0.0012256425,0.0020736242,0.0033853953],"domain_scores_gemma":[0.9200587,0.05318718,0.009044271,0.002599799,0.0110716075,0.0040383767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.042817496,0.0005917938,0.00080658845,0.0010342288,0.0030690315,0.0023157883,0.00094940525,0.001764196,0.0024894988],"category_scores_gemma":[0.10215794,0.0012441588,0.0010362585,0.0008804502,0.001939889,0.0024431776,0.003556071,0.0023805003,0.00036835883],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015639144,0.012938557,0.2735242,0.0010414498,0.00011804397,0.0008264626,0.6464442,0.0004453767,0.0036241796,0.0004072286,0.0009925049,0.05807384],"study_design_scores_gemma":[0.00080619735,0.027557138,0.34812635,0.0008283366,0.0002194115,0.00047198412,0.60764486,0.0024164987,0.0047510313,0.00042087134,0.0065393536,0.00021790405],"about_ca_topic_score_codex":0.006089643,"about_ca_topic_score_gemma":0.008600114,"teacher_disagreement_score":0.042817496,"about_ca_system_score_codex":0.0047227,"about_ca_system_score_gemma":0.010008783,"threshold_uncertainty_score":0.22644323},"labels":[],"label_agreement":null},{"id":"W4386592801","doi":"10.2196/48096","title":"Corrected QT Interval (QTc) Diagnostic App for the Oncological Routine: Development Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Chemotherapy-induced cardiotoxicity and mitigation","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"QT interval; Medicine; Workflow; Long QT syndrome; Internal medicine; Emergency medicine; Cardiology; Database; Computer science","score_opus":0.046850669098778955,"score_gpt":0.3398814275141017,"score_spread":0.2930307584153228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386592801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944246,0.0005107645,0.0014869588,0.00012119566,0.000039278013,0.0011859774,0.0003639495,0.00009549615,0.0017717814],"genre_scores_gemma":[0.98300296,0.0012455714,0.009854094,0.0003357976,0.000044898316,0.0015538642,0.00095918955,0.00005877799,0.0029447633],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911565,0.00032400587,0.00006068547,0.00012035024,0.0002821503,0.00009705486],"domain_scores_gemma":[0.99623674,0.0017184532,0.00043686052,0.00018023331,0.000863903,0.00056392164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022774606,0.00036251833,0.00028584778,0.00042432483,0.0002200782,0.00070234644,0.00040664928,0.00048304631,0.0028833942],"category_scores_gemma":[0.0075815953,0.00019817079,0.00050382066,0.00021315263,0.00024120497,0.0006019352,0.0005296168,0.0005040221,0.0009773676],"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":[0.011052812,0.033649415,0.30928725,0.004406954,0.000485467,0.0027043512,0.008061164,0.0010325022,0.028283622,0.0009504982,0.019054929,0.5810311],"study_design_scores_gemma":[0.004108716,0.08919734,0.81445545,0.0009824164,0.0017874438,0.005531278,0.00475676,0.009900041,0.015277477,0.0003806393,0.053441208,0.00018120163],"about_ca_topic_score_codex":0.0011160239,"about_ca_topic_score_gemma":0.0012091963,"teacher_disagreement_score":0.0028833942,"about_ca_system_score_codex":0.0003219386,"about_ca_system_score_gemma":0.0008445116,"threshold_uncertainty_score":0.012044549},"labels":[],"label_agreement":null},{"id":"W4386693265","doi":"10.2196/47818","title":"Feasibility and Acceptability of a Combined Digital Platform and Community Health Worker Intervention for Patients With Heart Failure: Single-Arm Pilot Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Medicine; Digital health; Intervention (counseling); Health care; mHealth; Medical emergency; Psychological intervention; Nursing","score_opus":0.056872548950552756,"score_gpt":0.3220340375838013,"score_spread":0.2651614886332485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386693265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9586121,0.00007738423,0.0007042053,0.00024827843,0.0001351318,0.039079525,0.0003919818,0.00005473102,0.000696793],"genre_scores_gemma":[0.8668832,0.00022865087,0.0096550025,0.0009335367,0.00028344363,0.12049359,0.00041899324,0.00001645911,0.0010871703],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.992853,0.0038614983,0.00062424334,0.0009020973,0.0006348125,0.0011243809],"domain_scores_gemma":[0.99214196,0.0024377515,0.0011098175,0.00074814376,0.0010777595,0.002484417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010289291,0.002489333,0.0026194246,0.0008717755,0.0024002907,0.0016313539,0.0015941162,0.0033923313,0.0072798156],"category_scores_gemma":[0.010835397,0.0014155721,0.0028084326,0.00054270745,0.001791222,0.002314659,0.0023832517,0.0030198623,0.0011799167],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.2225814,0.6974386,0.015436988,0.0013421611,0.0009333643,0.00018352919,0.002652534,0.00064574747,0.004691264,0.00014762294,0.0013138968,0.052632958],"study_design_scores_gemma":[0.16291033,0.80252075,0.030583922,0.00010519137,0.0003607474,0.000030397912,0.0009450973,0.0007254752,0.0007268349,0.00014046767,0.00089391693,0.000056903376],"about_ca_topic_score_codex":0.0024578306,"about_ca_topic_score_gemma":0.004850303,"teacher_disagreement_score":0.010289291,"about_ca_system_score_codex":0.0019715314,"about_ca_system_score_gemma":0.005694656,"threshold_uncertainty_score":0.054415643},"labels":[],"label_agreement":null},{"id":"W4386862273","doi":"10.2196/49345","title":"Outcomes of a Remote Cardiac Rehabilitation Program for Patients Undergoing Atrial Fibrillation Ablation: Pilot Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Atrium Health Foundation","keywords":"Atrial fibrillation; Medicine; Rehabilitation; Ablation; Cardiology; Internal medicine; Physical therapy","score_opus":0.05558380469398143,"score_gpt":0.36974062671004315,"score_spread":0.3141568220160617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386862273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99781215,0.000057966045,0.00009544726,0.00006874401,0.000016072889,0.0014489536,0.00018725342,0.000010954614,0.00030238455],"genre_scores_gemma":[0.9946979,0.00014010131,0.0008161037,0.00027488227,0.000070081966,0.0032319096,0.00045243296,0.000005514824,0.00031108042],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99862385,0.00056330865,0.00012248305,0.00021358591,0.00016186861,0.0003148733],"domain_scores_gemma":[0.9969572,0.0004650766,0.00047893086,0.0002691776,0.0003342518,0.0014954847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025090002,0.0008265253,0.0010726813,0.0006159384,0.001312612,0.0008044932,0.0006032521,0.0012851163,0.0031051284],"category_scores_gemma":[0.0037223222,0.00040329795,0.0017030588,0.0005403133,0.0006484326,0.0010854758,0.00099213,0.0017900007,0.00053849764],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.10306695,0.50154513,0.2433089,0.0009775416,0.0012805258,0.0009259433,0.003635404,0.0010991105,0.004664075,0.00011537785,0.0019024959,0.1374785],"study_design_scores_gemma":[0.046772204,0.5310089,0.41690037,0.000113363465,0.00058344356,0.00024112329,0.0015908645,0.0010455337,0.0006297169,0.00008232822,0.0009623662,0.00006987144],"about_ca_topic_score_codex":0.0030823804,"about_ca_topic_score_gemma":0.004918203,"teacher_disagreement_score":0.0031051284,"about_ca_system_score_codex":0.0009273315,"about_ca_system_score_gemma":0.0022519296,"threshold_uncertainty_score":0.013269007},"labels":[],"label_agreement":null},{"id":"W4386862328","doi":"10.2196/45130","title":"Cloud-Based Machine Learning Platform to Predict Clinical Outcomes at Home for Patients With Cardiovascular Conditions Discharged From Hospital: Clinical Trial","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Medicine; Clinical trial; Computer science; Operating system; Internal medicine","score_opus":0.04713460508186331,"score_gpt":0.35152399630680253,"score_spread":0.30438939122493924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386862328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9676518,0.0072553493,0.0029760336,0.003360618,0.001346886,0.01051516,0.003061083,0.00033936874,0.0034938597],"genre_scores_gemma":[0.9668956,0.0036518832,0.0058389325,0.0039309626,0.0009315997,0.014087867,0.0028113048,0.000027634678,0.001824222],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99896765,0.00048049085,0.00010080591,0.0001698549,0.00010955023,0.00017173111],"domain_scores_gemma":[0.9975682,0.0007486385,0.0004212522,0.0002668195,0.00037078606,0.0006243701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034536973,0.0009012862,0.001922675,0.00032728055,0.00060109503,0.0014387688,0.00086394855,0.0015704242,0.005267337],"category_scores_gemma":[0.0061331983,0.00033804984,0.0025515216,0.00037301445,0.00076850306,0.0015786701,0.00096144737,0.0037808353,0.001183808],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.5812411,0.15097538,0.037595354,0.0038779436,0.0058937455,0.00026274056,0.0003036897,0.0065601133,0.0027934378,0.0007552593,0.021019688,0.1887215],"study_design_scores_gemma":[0.45154893,0.4414167,0.052280452,0.0010799716,0.005189631,0.00032438178,0.00043157744,0.0323816,0.0026837024,0.0017706398,0.010692557,0.00019984288],"about_ca_topic_score_codex":0.0014727447,"about_ca_topic_score_gemma":0.0014297855,"teacher_disagreement_score":0.005267337,"about_ca_system_score_codex":0.0007988003,"about_ca_system_score_gemma":0.001682877,"threshold_uncertainty_score":0.018265128},"labels":[],"label_agreement":null},{"id":"W4387108993","doi":"10.2196/47292","title":"Characterizing Real-World Implementation of Consumer Wearables for the Detection of Undiagnosed Atrial Fibrillation in Clinical Practice: Targeted Literature Review","year":2023,"lang":"en","type":"review","venue":"JMIR Cardio","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Pfizer","keywords":"Medicine; Atrial fibrillation; Systematic review; Wearable computer; MEDLINE; Medical literature; Workflow; Medical emergency; Computer science; Internal medicine; Pathology","score_opus":0.14045754825374315,"score_gpt":0.5004054217803398,"score_spread":0.35994787352659663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387108993","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005147285,0.98596907,0.0006612091,0.0032023203,0.0004619744,0.0005635428,0.00086971215,0.00002219233,0.0031026886],"genre_scores_gemma":[0.023163483,0.9719139,0.0017554672,0.0017758212,0.00021355292,0.0005275102,0.00039948642,0.000011702276,0.00023912734],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9890181,0.0033480881,0.0045130425,0.00065851485,0.0021461241,0.0003161017],"domain_scores_gemma":[0.8883941,0.08759551,0.011504246,0.0009790697,0.0107903695,0.00073678157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011252585,0.00083651306,0.0020835476,0.0241257,0.0007968715,0.0037695426,0.0015565953,0.0021412808,0.003716724],"category_scores_gemma":[0.06958952,0.000710517,0.0024270134,0.020793429,0.0010389097,0.004202525,0.0019542482,0.0010883242,0.0006011993],"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":[0.000096331685,0.00004274053,0.0027035242,0.80212677,0.0011741535,0.00046263426,0.004674914,0.00013069561,0.0003842805,0.0016338953,0.0072634057,0.17930672],"study_design_scores_gemma":[0.0000226357,0.00008197627,0.004422731,0.9419104,0.0035631426,0.00063640485,0.0032830795,0.00007456731,0.00018183622,0.00045471915,0.045337614,0.00003082565],"about_ca_topic_score_codex":0.0057535022,"about_ca_topic_score_gemma":0.01320568,"teacher_disagreement_score":0.0241257,"about_ca_system_score_codex":0.0044213515,"about_ca_system_score_gemma":0.016243022,"threshold_uncertainty_score":0.059510052},"labels":[],"label_agreement":null},{"id":"W4387116239","doi":"10.2196/46296","title":"The Information Needs and Experiences of People Living With Cardiac Implantable Electronic Devices: Qualitative Content Analysis of Reddit Posts","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Content analysis; Social media; Qualitative research; Medicine; Qualitative analysis; Python (programming language); Psychology; Internet privacy; World Wide Web; Computer science","score_opus":0.05704819533144695,"score_gpt":0.3887303700351368,"score_spread":0.3316821747036898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387116239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995891,0.00019599812,0.0009306882,0.0007021154,0.000018013905,0.00017101015,0.00026390658,0.000009480493,0.0018178616],"genre_scores_gemma":[0.99642676,0.0004082996,0.0012004931,0.0004035628,0.000015876247,0.00041961108,0.00016236358,0.000022654827,0.0009403527],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99419916,0.0037649553,0.00031337922,0.0003494008,0.00070886884,0.0006643241],"domain_scores_gemma":[0.97354543,0.021124395,0.0017067556,0.00038371322,0.0019981149,0.0012415661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008800933,0.0004238108,0.0006206376,0.0024410354,0.0030379882,0.0026730022,0.0009809822,0.0010046288,0.0025870379],"category_scores_gemma":[0.024521107,0.00042933022,0.00040324932,0.0021960218,0.0045506433,0.0036046014,0.0047952463,0.0014823943,0.0003012501],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000380475,0.000024017549,0.0064079454,0.0002448762,0.000005076111,0.0002358307,0.9875909,0.00002199636,0.0006728284,0.00034558104,0.00027915754,0.0041337823],"study_design_scores_gemma":[0.0000037612435,0.000036596663,0.005703451,0.00016172942,0.0000046650734,0.00008769962,0.990928,0.00010357496,0.00020785352,0.00019012508,0.002558342,0.000014213125],"about_ca_topic_score_codex":0.005400539,"about_ca_topic_score_gemma":0.0072058844,"teacher_disagreement_score":0.008800933,"about_ca_system_score_codex":0.0033618673,"about_ca_system_score_gemma":0.002998627,"threshold_uncertainty_score":0.046544373},"labels":[],"label_agreement":null},{"id":"W4387691992","doi":"10.2196/48454","title":"Pilot Investigation of Blood Pressure Control Using a Mobile App (Cardi.Health): Retrospective Chart Review Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Psychological intervention; Blood pressure; Retrospective cohort study; Internal medicine; Nursing","score_opus":0.07255703871718887,"score_gpt":0.4397711859000816,"score_spread":0.3672141471828927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387691992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900007,0.0009185793,0.0012549362,0.00010469022,0.00002651693,0.0024907868,0.003936546,0.000045526973,0.0012215883],"genre_scores_gemma":[0.98839056,0.0010068379,0.0031538492,0.00031974897,0.000056732395,0.0026355893,0.0033479668,0.000024697156,0.0010640902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99801946,0.0005699217,0.00035497465,0.0004127249,0.00048739245,0.00015544253],"domain_scores_gemma":[0.9847388,0.0033910426,0.004944103,0.0015084529,0.004375506,0.0010420517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039334656,0.00036214752,0.0005039887,0.002925352,0.0009730397,0.0007557746,0.00067120395,0.00045243057,0.0016754128],"category_scores_gemma":[0.008652469,0.0006384754,0.0005163237,0.0019024904,0.00054902607,0.00067885686,0.0007482636,0.00047811514,0.00066765543],"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":[0.00032262816,0.0004612897,0.98152184,0.0003761242,0.000057901772,0.0010638159,0.0030911248,0.000041285257,0.0005906262,0.000057235928,0.0016786725,0.010737507],"study_design_scores_gemma":[0.000058377962,0.0013867179,0.99085754,0.00013257973,0.00008678305,0.00124501,0.0025312917,0.00021950911,0.00041862635,0.00002008483,0.0030165182,0.000026926191],"about_ca_topic_score_codex":0.013376968,"about_ca_topic_score_gemma":0.01981919,"teacher_disagreement_score":0.013376968,"about_ca_system_score_codex":0.0014766642,"about_ca_system_score_gemma":0.002244134,"threshold_uncertainty_score":0.026598215},"labels":[],"label_agreement":null},{"id":"W4388014872","doi":"10.2196/49892","title":"Digital Health Secondary Prevention Using Co-Design Procedures: Focus Group Study With Health Care Providers and Patients With Myocardial Infarction","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Focus group; Digital health; Medicine; Health care; Exploratory research; Nursing; Mental health; Family medicine; Psychiatry","score_opus":0.01800948917066123,"score_gpt":0.32639245190243915,"score_spread":0.3083829627317779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388014872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924827,0.00022751713,0.0013039773,0.0009869453,0.000059853126,0.0041227606,0.000050064897,0.000012607751,0.00075345376],"genre_scores_gemma":[0.97708,0.000509323,0.0049044755,0.0026181622,0.00010760431,0.013338405,0.00007470897,0.000015880978,0.0013514785],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.97720575,0.016741991,0.0009035334,0.0012753826,0.00091352686,0.0029597564],"domain_scores_gemma":[0.96135515,0.026545452,0.0022392592,0.0010688304,0.004860498,0.003930825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.043327093,0.0015103286,0.0015775026,0.0021413963,0.01201684,0.0031037016,0.0024166899,0.0049918504,0.0051077893],"category_scores_gemma":[0.038885538,0.0014708465,0.0013806518,0.0009839109,0.005066736,0.0036835999,0.0073025045,0.004310501,0.0008886682],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060702575,0.00674411,0.014911957,0.0008221906,0.00004231671,0.00084052474,0.95975125,0.00007302432,0.0014509849,0.00031382532,0.0008576648,0.013585093],"study_design_scores_gemma":[0.0010200444,0.009643865,0.01189189,0.0006172315,0.00008802689,0.0003524566,0.96892786,0.00026473036,0.00072890916,0.0005242136,0.0058522075,0.00008850814],"about_ca_topic_score_codex":0.004597275,"about_ca_topic_score_gemma":0.008808319,"teacher_disagreement_score":0.043327093,"about_ca_system_score_codex":0.0039227116,"about_ca_system_score_gemma":0.007422138,"threshold_uncertainty_score":0.22913831},"labels":[],"label_agreement":null},{"id":"W4388033323","doi":"10.2196/51375","title":"AI Algorithm to Predict Acute Coronary Syndrome in Prehospital Cardiac Care: Retrospective Cohort Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiteit Leiden; Boston Scientific Corporation","keywords":"Medicine; Acute coronary syndrome; Emergency department; Chest pain; Overcrowding; Emergency medicine; Hyperparameter; Retrospective cohort study; Algorithm; Machine learning; Medical emergency; Myocardial infarction; Internal medicine; Computer science","score_opus":0.03223881376019673,"score_gpt":0.37968542720430526,"score_spread":0.34744661344410854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388033323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980211,0.00011639162,0.0008997776,0.0000472375,0.000013169774,0.00008840516,0.00055990525,0.000012965572,0.00024101291],"genre_scores_gemma":[0.9974208,0.000069817295,0.0010466872,0.000020174588,0.000013312251,0.00009003119,0.0011553908,0.0000046214523,0.00017920745],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992525,0.0002316687,0.0001036549,0.00020657673,0.00012520912,0.000080354985],"domain_scores_gemma":[0.99715984,0.0010924196,0.00056739966,0.00034723745,0.000575275,0.00025781972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021862732,0.00043284352,0.0004132267,0.0012955372,0.00037989905,0.0008222085,0.0006376684,0.0005442322,0.0016111763],"category_scores_gemma":[0.007008619,0.00024632044,0.00091510837,0.0008268641,0.0001772381,0.000607446,0.00036953995,0.00081722264,0.00038086378],"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":[0.00026597278,0.00014272537,0.9966024,0.000013565899,0.00008833297,0.00007574833,0.000046347188,0.000357762,0.00008279057,0.00002930329,0.00019468658,0.002100299],"study_design_scores_gemma":[0.00010261858,0.00086702255,0.9720071,0.0000287612,0.00024265748,0.00075553666,0.00043758168,0.024449464,0.00022580146,0.00021178692,0.0006493061,0.000022251357],"about_ca_topic_score_codex":0.002586045,"about_ca_topic_score_gemma":0.0018617503,"teacher_disagreement_score":0.002586045,"about_ca_system_score_codex":0.00040477444,"about_ca_system_score_gemma":0.00047961075,"threshold_uncertainty_score":0.011562228},"labels":[],"label_agreement":null},{"id":"W4388306309","doi":"10.2196/51316","title":"Automated Messaging Program to Facilitate Systematic Home Blood Pressure Monitoring: Qualitative Analysis of Provider Interviews","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Medical Center, University of Pittsburgh; University of Pittsburgh","keywords":"Qualitative research; Population; Nursing; Salience (neuroscience); Best practice; Medicine; Health care; Psychology; Medical education","score_opus":0.11435629399931063,"score_gpt":0.3998779431191922,"score_spread":0.2855216491198816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388306309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9751476,0.0007569889,0.011474407,0.0037405097,0.00007132439,0.0012176349,0.00083389174,0.000034024222,0.006723527],"genre_scores_gemma":[0.9832751,0.0012875112,0.0088753505,0.0011215829,0.00002932689,0.002490298,0.00037189396,0.000055212928,0.0024937545],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.98035216,0.015528591,0.00056316133,0.0007223559,0.0011309617,0.0017027436],"domain_scores_gemma":[0.94526154,0.04664017,0.0026790628,0.0006463956,0.0035336628,0.0012391849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022593588,0.0006154929,0.0006148466,0.0018433812,0.0046977634,0.002994467,0.0015993804,0.001381091,0.0023234035],"category_scores_gemma":[0.03827602,0.00071505085,0.00036245026,0.0026378152,0.0048340783,0.0035392835,0.00402385,0.0022261876,0.0003563518],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035750167,0.000035700356,0.0023938732,0.0002332331,0.0000031380216,0.0003104324,0.9905813,0.00005331272,0.0005618833,0.0008725452,0.0005735127,0.0043451954],"study_design_scores_gemma":[0.000006999382,0.000035079447,0.001878988,0.00031022154,0.0000036786882,0.000108380904,0.9916196,0.00017053491,0.00038201144,0.00033168797,0.005143831,0.0000088886945],"about_ca_topic_score_codex":0.008722765,"about_ca_topic_score_gemma":0.01087697,"teacher_disagreement_score":0.022593588,"about_ca_system_score_codex":0.0070139607,"about_ca_system_score_gemma":0.007827971,"threshold_uncertainty_score":0.11948776},"labels":[],"label_agreement":null},{"id":"W4388869897","doi":"10.2196/50973","title":"Barriers and Facilitators Associated With Remote Monitoring Adherence Among Veterans With Pacemakers and Implantable Cardioverter-Defibrillators: Qualitative Cross-Sectional Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac pacing and defibrillation studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; Quality Enhancement Research Initiative; National Institutes of Health; U.S. Department of Veterans Affairs","keywords":"Medicine; Veterans Affairs; Family medicine; Cross-sectional study; Focus group; Health care; Internal medicine; Pathology","score_opus":0.03887066121688901,"score_gpt":0.3578599917613834,"score_spread":0.3189893305444944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388869897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99899703,0.00014494234,0.00013873546,0.00025683377,0.000005212386,0.000051934934,0.000048255562,0.0000016347531,0.0003553076],"genre_scores_gemma":[0.9989496,0.00027010296,0.00020703193,0.00018959785,0.000004215431,0.00009415349,0.00003300651,0.0000019991937,0.0002503558],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9977877,0.0013527521,0.00011499478,0.00014258148,0.00014983451,0.00045201593],"domain_scores_gemma":[0.99525815,0.0030867252,0.0006448918,0.00010345947,0.0003909872,0.0005158313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044051665,0.00027588158,0.0005035378,0.0007695551,0.0027964863,0.0013874942,0.0007218892,0.0007646089,0.0016417917],"category_scores_gemma":[0.009295453,0.00055546564,0.00038600084,0.0006897072,0.0018435138,0.0017097653,0.0020565072,0.0010909125,0.00011814024],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054854885,0.00019442961,0.09432241,0.00024544357,0.000022324237,0.0005380983,0.8966545,0.00004722342,0.00075599784,0.00038037385,0.0003355096,0.006448739],"study_design_scores_gemma":[0.000004793357,0.00015236098,0.023610802,0.00014890879,0.000008474608,0.00016986109,0.9745908,0.00011974484,0.0001465318,0.000084466534,0.00095280353,0.000010481223],"about_ca_topic_score_codex":0.013765774,"about_ca_topic_score_gemma":0.016464097,"teacher_disagreement_score":0.013765774,"about_ca_system_score_codex":0.001996711,"about_ca_system_score_gemma":0.002785561,"threshold_uncertainty_score":0.027371287},"labels":[],"label_agreement":null},{"id":"W4388951993","doi":"10.2196/50701","title":"Diagnostic Accuracy of Single-Lead Electrocardiograms Using the Kardia Mobile App and the Apple Watch 4: Validation Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; QT interval; Gold standard (test); Concordance; Standard deviation; Lead (geology); Correlation coefficient; Statistics; Confidence interval; Bland–Altman plot; Cohen's kappa; Concordance correlation coefficient; Limits of agreement; Cardiology; Internal medicine; Mathematics; Nuclear medicine","score_opus":0.02683824883833401,"score_gpt":0.3166622591721137,"score_spread":0.2898240103337797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388951993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984345,0.0001982585,0.00077298033,0.000011016298,0.000013414628,0.00013954005,0.00012733103,0.000010193784,0.00029284865],"genre_scores_gemma":[0.99744236,0.00010652424,0.0015937742,0.000032043426,0.00001958071,0.00018456554,0.00041410758,0.000007732605,0.00019915511],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9963408,0.001391553,0.0004091562,0.00082661794,0.000844685,0.00018711305],"domain_scores_gemma":[0.9899602,0.005005585,0.0015865559,0.00092567527,0.002090631,0.00043136586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053411555,0.000655882,0.000604697,0.00080622494,0.00031989056,0.00068013876,0.000651732,0.0009090711,0.0011088125],"category_scores_gemma":[0.013621643,0.00034866526,0.0007653685,0.00040816294,0.00058129,0.0005766524,0.0006991126,0.0004177124,0.00057274906],"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":[0.004899084,0.0011385368,0.96679896,0.0002528433,0.0003568656,0.0002418264,0.0018478745,0.00033413523,0.005721471,0.00010283837,0.00022024213,0.018085346],"study_design_scores_gemma":[0.00027821056,0.00653239,0.9848483,0.00006328759,0.00036778615,0.0010013437,0.0005763244,0.0028190792,0.002522914,0.000086912376,0.000871887,0.00003152399],"about_ca_topic_score_codex":0.0007612917,"about_ca_topic_score_gemma":0.00095069554,"teacher_disagreement_score":0.0053411555,"about_ca_system_score_codex":0.00026719252,"about_ca_system_score_gemma":0.0003802115,"threshold_uncertainty_score":0.028247058},"labels":[],"label_agreement":null},{"id":"W4388981763","doi":"10.2196/49590","title":"Comparing the Efficacy of Targeted and Blast Portal Messaging in Message Opening Rate and Anticoagulation Initiation in Patients With Atrial Fibrillation in the Preventing Preventable Strokes Study II: Prospective Cohort Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Pfizer; Bristol-Myers Squibb","keywords":"Medicine; Atrial fibrillation; Patient portal; Cohort; Stroke (engine); Medical emergency; Patient education; Emergency medicine; Internal medicine; Family medicine; Health care","score_opus":0.02400262887404652,"score_gpt":0.32895089414447504,"score_spread":0.3049482652704285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388981763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99738544,0.0005659169,0.00013402957,0.0000918483,0.000037861817,0.0002828997,0.00095795747,0.000009879351,0.0005341705],"genre_scores_gemma":[0.9973935,0.000288107,0.0002457565,0.0001387456,0.00008278796,0.0004263612,0.0011345645,0.0000071076392,0.00028315006],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99639076,0.0015605021,0.00050825975,0.00069581403,0.00044637988,0.0003982293],"domain_scores_gemma":[0.9933114,0.0018687417,0.0023491527,0.00075967476,0.00048523713,0.0012258278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00455019,0.00074452086,0.0013632235,0.0007752887,0.0006125581,0.0013036192,0.0009119322,0.0016112184,0.0019292451],"category_scores_gemma":[0.007736208,0.0007770801,0.0024867225,0.0011786512,0.00040754455,0.0012833617,0.0008081013,0.0020541658,0.00043477822],"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":[0.027526954,0.0022645001,0.9628263,0.00017419289,0.0025514094,0.00005410079,0.0002937996,0.00011067865,0.00029601465,0.00003973719,0.00051477744,0.0033475028],"study_design_scores_gemma":[0.0038331375,0.00992836,0.98311126,0.000054821896,0.0016134541,0.00008254288,0.00032454872,0.0004903033,0.00014269125,0.000067410736,0.0003191787,0.000032382977],"about_ca_topic_score_codex":0.002335218,"about_ca_topic_score_gemma":0.002755246,"teacher_disagreement_score":0.00455019,"about_ca_system_score_codex":0.00048128166,"about_ca_system_score_gemma":0.000703565,"threshold_uncertainty_score":0.024064004},"labels":[],"label_agreement":null},{"id":"W4389061712","doi":"10.2196/52697","title":"Efficacy of eHealth Technologies on Medication Adherence in Patients With Acute Coronary Syndrome: Systematic Review and Meta-Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Meta-analysis; Acute coronary syndrome; eHealth; Medicine; Internal medicine; Medication adherence; Systematic review; Intensive care medicine; MEDLINE; Health care; Myocardial infarction","score_opus":0.05161458391113708,"score_gpt":0.3410441978311799,"score_spread":0.2894296139200428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389061712","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004548372,0.99374396,0.0003925495,0.00015822143,0.00012804147,0.00037565138,0.00041647287,0.000020856656,0.00021590757],"genre_scores_gemma":[0.15037017,0.8434325,0.0022591243,0.0008313803,0.0002881331,0.0017770585,0.0007175255,0.000019840896,0.00030436448],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9917031,0.0039964733,0.0023980658,0.0006858158,0.0009684475,0.00024810986],"domain_scores_gemma":[0.98267347,0.013103892,0.0025822404,0.0004238413,0.0010277336,0.0001888784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012621389,0.0022639795,0.01803471,0.005065554,0.000556257,0.0025661513,0.0018180426,0.0022994746,0.0032590632],"category_scores_gemma":[0.03173383,0.0011134418,0.03364915,0.0058749523,0.00063103624,0.0014981827,0.0012371365,0.0017882421,0.0002107325],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002181663,0.00004403169,0.0027742884,0.45085725,0.5301212,0.00008195046,0.00007410544,0.00045786652,0.00012980186,0.00011261518,0.00043353447,0.012731744],"study_design_scores_gemma":[0.0007036133,0.00024333612,0.0028380356,0.03240227,0.9622751,0.00005675273,0.000029704092,0.00018926346,0.00009793329,0.00012802481,0.0010177981,0.00001827353],"about_ca_topic_score_codex":0.0066715917,"about_ca_topic_score_gemma":0.011980007,"teacher_disagreement_score":0.01803471,"about_ca_system_score_codex":0.002435772,"about_ca_system_score_gemma":0.0035536115,"threshold_uncertainty_score":0.066749096},"labels":[],"label_agreement":null},{"id":"W4389098722","doi":"10.2196/45137","title":"Accuracy, Usability, and Adherence of Smartwatches for Atrial Fibrillation Detection in Older Adults After Stroke: Randomized Controlled Trial","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Medicine; Usability; Smartwatch; Randomized controlled trial; Atrial fibrillation; Stroke (engine); Physical therapy; Physical medicine and rehabilitation; Internal medicine; Wearable computer; Computer science","score_opus":0.027430309377438004,"score_gpt":0.328902828837611,"score_spread":0.301472519460173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389098722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96529585,0.011367776,0.0009163922,0.0009544442,0.0009209892,0.015906673,0.0016834927,0.00017601358,0.0027783061],"genre_scores_gemma":[0.9676116,0.0038236666,0.002442006,0.00096578646,0.000648161,0.022426099,0.0008025618,0.000016373382,0.0012638586],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9951977,0.0025445016,0.0008949716,0.0006658658,0.00041703443,0.00027997672],"domain_scores_gemma":[0.99349505,0.0027328355,0.0020663156,0.00041592566,0.0005913515,0.0006985148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004989899,0.0015488503,0.0044170613,0.0007348547,0.00081931823,0.0013851962,0.00096671877,0.0029891774,0.0061703487],"category_scores_gemma":[0.012560452,0.0008832205,0.00493978,0.000819264,0.0010124008,0.0016234044,0.00073128456,0.0027168428,0.0005013747],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.96283674,0.008962667,0.003612985,0.0034487655,0.0060254443,0.000031505002,0.000106716645,0.00014815433,0.00031769654,0.000079478756,0.0007154576,0.013714429],"study_design_scores_gemma":[0.93008584,0.05326763,0.009120379,0.0004197069,0.00567956,0.000022760601,0.000049923725,0.0005149107,0.0001968873,0.00013815903,0.0004750723,0.000029191071],"about_ca_topic_score_codex":0.001817758,"about_ca_topic_score_gemma":0.0025814357,"teacher_disagreement_score":0.0061703487,"about_ca_system_score_codex":0.0008207983,"about_ca_system_score_gemma":0.0016171833,"threshold_uncertainty_score":0.02638936},"labels":[],"label_agreement":null},{"id":"W4389380498","doi":"10.2196/47262","title":"Evaluation of Machine Learning Approaches for Predicting Warfarin Discharge Dose in Cardiac Surgery Patients: Retrospective Algorithm Development and Validation Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Warfarin; Medicine; Dosing; Cardiac surgery; Cohort; Retrospective cohort study; Mitral valve replacement; Internal medicine; Cardiology; Surgery; Machine learning; Mitral valve; Atrial fibrillation; Computer science","score_opus":0.13591092999686402,"score_gpt":0.34750309185608586,"score_spread":0.21159216185922183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389380498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766212,0.0006394953,0.021145249,0.00016312486,0.000032556905,0.00039660084,0.0004386688,0.00015904548,0.00040397595],"genre_scores_gemma":[0.9790548,0.00018852127,0.019207334,0.00005951238,0.000013622876,0.00020251013,0.001125279,0.000021963227,0.00012646272],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9908242,0.006052377,0.0007609133,0.0010239597,0.0010726397,0.00026594917],"domain_scores_gemma":[0.9410922,0.042112928,0.0034671756,0.004343901,0.008241295,0.00074255833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03897846,0.0010283868,0.0009867225,0.0015903142,0.00043392344,0.0011605141,0.001647002,0.0012721736,0.0004750535],"category_scores_gemma":[0.056379735,0.0004283605,0.0012136515,0.00088334584,0.0006310708,0.0010190231,0.0010247047,0.0015850895,0.00024306617],"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":[0.0024067562,0.0014958503,0.7833766,0.00016105895,0.0013711464,0.00014604333,0.0003772135,0.11235308,0.0010685528,0.0003813278,0.0014504232,0.09541195],"study_design_scores_gemma":[0.00023495831,0.0018888696,0.09384502,0.000079869205,0.0003275129,0.00027523428,0.0001784076,0.90036064,0.0018732054,0.00031242636,0.0005856749,0.000038158945],"about_ca_topic_score_codex":0.0071792672,"about_ca_topic_score_gemma":0.004633396,"teacher_disagreement_score":0.03897846,"about_ca_system_score_codex":0.0013512404,"about_ca_system_score_gemma":0.0021277617,"threshold_uncertainty_score":0.20614022},"labels":[],"label_agreement":null},{"id":"W4389488954","doi":"10.2196/50813","title":"Guideline-Based Cardiovascular Risk Assessment Delivered by an mHealth App: Development Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Deutsche Herzstiftung; Deutsche Gesellschaft für Kardiologie-Herz und Kreislaufforschung.; Deutsches Zentrum für Herz-Kreislaufforschung","keywords":"Calculator; Framingham Risk Score; Risk assessment; Medicine; Guideline; Population; Risk management tools; Disease; Computer science; Environmental health; Internal medicine; Pathology; Computer security","score_opus":0.05897828527308816,"score_gpt":0.4576462072180298,"score_spread":0.3986679219449416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389488954","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981928,0.0007469917,0.001536444,0.00046669442,0.00005933945,0.009103472,0.0011804465,0.00010547444,0.004873091],"genre_scores_gemma":[0.95663095,0.0022311835,0.020555539,0.000787311,0.00006800998,0.01484181,0.0026681928,0.00006547171,0.0021515389],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9948881,0.0023973645,0.0005978494,0.00034691353,0.0014304126,0.00033937566],"domain_scores_gemma":[0.98385113,0.0077681383,0.002150067,0.0009137251,0.00401348,0.0013034635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012504564,0.0005185493,0.00067212636,0.0011118556,0.00043605606,0.0014727975,0.00083207747,0.0010666914,0.0027199402],"category_scores_gemma":[0.038271252,0.0004699937,0.0011182463,0.00077656645,0.00041930578,0.0012721064,0.0011982156,0.0010330959,0.0009996983],"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":[0.0061295126,0.05451251,0.32449967,0.0043994365,0.00090102776,0.0011117324,0.0140252635,0.0011235002,0.0017063314,0.0010625741,0.022163467,0.5683649],"study_design_scores_gemma":[0.01160265,0.063897945,0.85716987,0.004430163,0.002633711,0.0015422413,0.007382172,0.00901693,0.0028610702,0.0008440411,0.03826121,0.00035796323],"about_ca_topic_score_codex":0.0041785873,"about_ca_topic_score_gemma":0.0051726685,"teacher_disagreement_score":0.012504564,"about_ca_system_score_codex":0.0012804912,"about_ca_system_score_gemma":0.0032244101,"threshold_uncertainty_score":0.066131234},"labels":[],"label_agreement":null},{"id":"W4390117784","doi":"10.2196/48971","title":"Formative Perceptions of a Digital Pill System to Measure Adherence to Heart Failure Pharmacotherapy: Mixed Methods Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Drug Abuse; Brigham and Women's Hospital","keywords":"Pharmacotherapy; Medicine; Context (archaeology); Pill; Qualitative research; Thematic analysis; Intensive care medicine; Pharmacy; MEDLINE; Family medicine; Emergency medicine; Nursing","score_opus":0.06838523355416683,"score_gpt":0.42432737486966593,"score_spread":0.3559421413154991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390117784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880486,0.0005176105,0.0031815895,0.0002831693,0.0000596758,0.006022458,0.00050740753,0.000014589177,0.0013647863],"genre_scores_gemma":[0.9631044,0.0008549773,0.013742688,0.00089891424,0.000085028674,0.01965309,0.00049776444,0.0000191421,0.0011439126],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.970892,0.02022567,0.0029951942,0.0013941166,0.0031923929,0.0013005388],"domain_scores_gemma":[0.953655,0.028948028,0.008362798,0.0018064883,0.0060453513,0.0011822894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04928954,0.0009798692,0.0011788023,0.0019678888,0.0021999697,0.0031958444,0.0017501826,0.0011354099,0.0023021891],"category_scores_gemma":[0.051824328,0.0009596376,0.0019405317,0.002016122,0.0016609598,0.0027345405,0.0027451434,0.0012928434,0.00044287828],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032167933,0.011129832,0.39986092,0.005084568,0.0011367343,0.0005969336,0.44390503,0.000404727,0.002757512,0.0012304175,0.0015652202,0.12911138],"study_design_scores_gemma":[0.00219879,0.03420671,0.36991426,0.003419752,0.0009489505,0.000786048,0.56581974,0.0031800293,0.0046524997,0.001674891,0.012782913,0.00041542537],"about_ca_topic_score_codex":0.0028936823,"about_ca_topic_score_gemma":0.0052246,"teacher_disagreement_score":0.04928954,"about_ca_system_score_codex":0.003681502,"about_ca_system_score_gemma":0.0038804286,"threshold_uncertainty_score":0.26067114},"labels":[],"label_agreement":null},{"id":"W4390246133","doi":"10.2196/52576","title":"User Engagement, Acceptability, and Clinical Markers in a Digital Health Program for Nonalcoholic Fatty Liver Disease: Prospective, Single-Arm Feasibility Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Hjartavernd","keywords":"Nonalcoholic fatty liver disease; Nonalcoholic steatohepatitis; Medicine; Disease; Prospective cohort study; Internal medicine; Physical therapy; Fatty liver","score_opus":0.08822483152752177,"score_gpt":0.41917315326585297,"score_spread":0.3309483217383312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390246133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934324,0.000049311224,0.0003744218,0.000025366182,0.000012668906,0.00552533,0.000166612,0.000012790828,0.0004010194],"genre_scores_gemma":[0.9791323,0.00010704875,0.0027673217,0.00016223862,0.00007891135,0.0165913,0.00037607906,0.000009873419,0.0007748905],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9919893,0.004814013,0.0005914547,0.00061728584,0.0011395098,0.000848401],"domain_scores_gemma":[0.9920074,0.0029797333,0.0015954742,0.0008534344,0.0010136205,0.0015503964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01118334,0.0014851941,0.001500107,0.00088816194,0.0013876085,0.0011932873,0.0008371542,0.0017271405,0.003864329],"category_scores_gemma":[0.00955725,0.00096629193,0.0018263959,0.0006871141,0.0015212419,0.0018595143,0.0014481622,0.0018701606,0.0009759245],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.195722,0.5703678,0.1709189,0.0010138038,0.0010776335,0.00018513764,0.0035128295,0.00083337893,0.006093768,0.00014887909,0.0006344307,0.049491476],"study_design_scores_gemma":[0.033972908,0.76945746,0.19161032,0.000063806925,0.00042837675,0.000078118996,0.0010043064,0.0009900627,0.001420623,0.00009820301,0.00080815656,0.00006753251],"about_ca_topic_score_codex":0.0013856811,"about_ca_topic_score_gemma":0.0018241162,"teacher_disagreement_score":0.01118334,"about_ca_system_score_codex":0.00077905675,"about_ca_system_score_gemma":0.001724047,"threshold_uncertainty_score":0.05914384},"labels":[],"label_agreement":null},{"id":"W4390554325","doi":"10.2196/51439","title":"Factors That Influence Patient Satisfaction With the Service Quality of Home-Based Teleconsultation During the COVID-19 Pandemic: Cross-Sectional Survey Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Medicine; Cross-sectional study; Logistic regression; Patient satisfaction; Family medicine; Service delivery framework; Empathy; Telemedicine; Service (business); Nursing; Health care; Psychiatry; Internal medicine","score_opus":0.1334131299951795,"score_gpt":0.42920060782364816,"score_spread":0.29578747782846865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390554325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99921143,0.00003954696,0.000049849645,0.00009438839,0.0000014793193,0.000022732074,0.0002643931,0.0000020921236,0.00031410542],"genre_scores_gemma":[0.9996617,0.000033932618,0.00006623737,0.000035982972,0.00000211402,0.000019298797,0.00012076183,7.1160383e-7,0.000059194947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99815625,0.0007814383,0.00022340509,0.000133102,0.0004131688,0.0002926258],"domain_scores_gemma":[0.99407357,0.0017897955,0.0023078835,0.0001459746,0.0009134871,0.00076933816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024584376,0.00011458276,0.00023194501,0.000610423,0.00048029496,0.00071111345,0.0002850887,0.00031738228,0.0017196138],"category_scores_gemma":[0.0077175847,0.00014946595,0.0004160562,0.0013881485,0.00045039415,0.00044422262,0.0004498057,0.0004265853,0.00013188242],"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":[0.000023016466,0.000039636892,0.9977011,0.00001647844,0.000019254192,0.000017405466,0.00086977414,0.000016828144,0.000045887562,0.0000070034234,0.00011166444,0.0011320127],"study_design_scores_gemma":[0.0000024336073,0.00008894319,0.99766636,0.000007225884,0.0000063999896,0.00003397614,0.0019309662,0.00012716015,0.000019193389,0.0000033841852,0.00011093402,0.0000029324965],"about_ca_topic_score_codex":0.05338769,"about_ca_topic_score_gemma":0.06262282,"teacher_disagreement_score":0.05338769,"about_ca_system_score_codex":0.001625295,"about_ca_system_score_gemma":0.0014238694,"threshold_uncertainty_score":0.106153905},"labels":[],"label_agreement":null},{"id":"W4390922828","doi":"10.2196/54530","title":"Feasibility of Using Text Messaging to Identify and Assist Patients With Hypertension With Health-Related Social Needs: Cross-Sectional Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Medicine; Health care; Social media; Family medicine; Cross-sectional study; Social determinants of health; Short Message Service; Social support; Gerontology; Public health; Nursing; Psychology; World Wide Web","score_opus":0.08995562158867909,"score_gpt":0.4700799485233862,"score_spread":0.3801243269347071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390922828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99848455,0.000088780536,0.00016562692,0.00010711285,0.000014030932,0.0003402822,0.00026883188,0.0000067759793,0.00052399974],"genre_scores_gemma":[0.99813974,0.00008633286,0.0005628315,0.00027896508,0.000023869921,0.0005009815,0.00019415448,0.0000031323304,0.00020995348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968135,0.0015356742,0.00047441083,0.00031727517,0.0005612609,0.00029797488],"domain_scores_gemma":[0.99091595,0.0037628827,0.002563409,0.00044299403,0.0013327262,0.0009820419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005448965,0.00038498073,0.00041241088,0.0009848216,0.0008711618,0.0010274921,0.00051732745,0.0009911361,0.0018496459],"category_scores_gemma":[0.013387728,0.0006909164,0.00078098755,0.0007036354,0.0003910875,0.001309441,0.00076366734,0.0011166449,0.0007253883],"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":[0.00037863338,0.0021307261,0.99052936,0.00008939754,0.000089561894,0.000070409784,0.0018799056,0.00003193053,0.0004264491,0.000014872887,0.0002671668,0.00409139],"study_design_scores_gemma":[0.00022556775,0.0061711273,0.98825616,0.00005907272,0.000119145276,0.00022633963,0.0031201376,0.00087696314,0.00023198704,0.000023196746,0.0006692275,0.000020938594],"about_ca_topic_score_codex":0.0040542553,"about_ca_topic_score_gemma":0.0041463915,"teacher_disagreement_score":0.005448965,"about_ca_system_score_codex":0.00049980724,"about_ca_system_score_gemma":0.00077199575,"threshold_uncertainty_score":0.028817236},"labels":[],"label_agreement":null},{"id":"W4391530992","doi":"10.2196/51399","title":"Physical Activity, Heart Rate Variability, and Ventricular Arrhythmia During the COVID-19 Lockdown: Retrospective Cohort Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto; Hamilton Health Sciences; Impact; McMaster University; Population Health Research Institute; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Heart rate variability; Coronavirus disease 2019 (COVID-19); Physical activity; Retrospective cohort study; Implantable cardioverter-defibrillator; Internal medicine; Cohort; Cardiology; Heart rate; Emergency medicine; Physical therapy; Blood pressure","score_opus":0.011712984924764358,"score_gpt":0.2962685515560886,"score_spread":0.28455556663132425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391530992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99851435,0.00017621537,0.000047659596,0.000018454544,0.000004976385,0.000023925426,0.00090133084,0.0000019412328,0.00031108563],"genre_scores_gemma":[0.9985781,0.00011591342,0.000040894603,0.000028138607,0.000008239696,0.000023297645,0.0010594057,0.0000016028866,0.00014454288],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948573,0.000046856607,0.000054967273,0.00013345874,0.00013945575,0.00013964846],"domain_scores_gemma":[0.9989819,0.00007271795,0.00047521706,0.00009729002,0.00014102862,0.00023194436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039366714,0.00031423627,0.00039027317,0.0007312072,0.00074525375,0.0006543669,0.00048444574,0.00037844374,0.0010248662],"category_scores_gemma":[0.0009995117,0.00034638288,0.00042102308,0.0014203428,0.00036429876,0.0004330474,0.00057541626,0.00054045854,0.00020692105],"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":[0.00004391166,0.000009542199,0.9996123,0.0000034935733,0.00001627183,0.000027640777,0.000035077268,0.0000057179946,0.000048735466,0.0000022422246,0.000038274105,0.00015687326],"study_design_scores_gemma":[0.000002866638,0.000034351157,0.99968207,0.0000036208614,0.000009132078,0.000057451372,0.0000982098,0.000024500032,0.0000094846355,0.0000019257116,0.000074852294,0.0000016675265],"about_ca_topic_score_codex":0.10553601,"about_ca_topic_score_gemma":0.15349162,"teacher_disagreement_score":0.10553601,"about_ca_system_score_codex":0.0012004783,"about_ca_system_score_gemma":0.0011180728,"threshold_uncertainty_score":0.20984346},"labels":[],"label_agreement":null},{"id":"W4392313281","doi":"10.2196/54801","title":"Association of Arterial Stiffness With Mid- to Long-Term Home Blood Pressure Variability in the Electronic Framingham Heart Study: Cohort Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institute on Aging","keywords":"Arterial stiffness; Framingham Heart Study; Blood pressure; Cohort; Medicine; Internal medicine; Cardiology; Framingham Risk Score; Term (time); Cohort study; Disease","score_opus":0.006111537964757315,"score_gpt":0.2863532640901288,"score_spread":0.28024172612537146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392313281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979735,0.0003605388,0.00022059523,0.00005827242,0.000030244686,0.000020593263,0.000961977,0.0000076112065,0.00036676938],"genre_scores_gemma":[0.99851733,0.00013205817,0.00018418653,0.000054043016,0.00004050473,0.000037527545,0.0007462945,0.000003946211,0.00028418642],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903524,0.0002566269,0.000090694826,0.0002868477,0.00016092353,0.00016967292],"domain_scores_gemma":[0.99788207,0.00028429125,0.0005794383,0.0005726035,0.00031116986,0.00037038632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001993165,0.00049166917,0.00058387726,0.00068813673,0.0006188759,0.00090500445,0.00060291984,0.00081279676,0.0014315179],"category_scores_gemma":[0.0031392064,0.000489669,0.0007299084,0.0010297686,0.0002531443,0.00047323978,0.000681324,0.00084637053,0.00026701373],"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":[0.00039434165,0.00006385218,0.9973749,0.00001530755,0.00033615588,0.00010583193,0.0001350528,0.00003030615,0.00021408794,0.000035036395,0.00029827154,0.0009967962],"study_design_scores_gemma":[0.000012275028,0.000048971233,0.9995403,0.0000055763326,0.000067252724,0.00007206981,0.000050069768,0.00007716647,0.000017642613,0.00001564243,0.00008896769,0.000004088838],"about_ca_topic_score_codex":0.0074609723,"about_ca_topic_score_gemma":0.009738018,"teacher_disagreement_score":0.0074609723,"about_ca_system_score_codex":0.00025974598,"about_ca_system_score_gemma":0.00027510515,"threshold_uncertainty_score":0.014835119},"labels":[],"label_agreement":null},{"id":"W4392817503","doi":"10.2196/54823","title":"Cardiac Rehabilitation During the COVID-19 Pandemic and the Potential for Digital Technology to Support Physical Activity Maintenance: Qualitative Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of California, San Francisco; National Institute on Aging; National Institutes of Health","keywords":"Pandemic; Thematic analysis; Rehabilitation; Psychology; Social support; Social distance; Qualitative research; Anxiety; Physical activity; Telehealth; Social media; Gerontology; Medicine; Telemedicine; Coronavirus disease 2019 (COVID-19); Physical therapy; Health care; Disease; Social psychology; Psychiatry; Sociology","score_opus":0.023384946261146674,"score_gpt":0.43533876635201607,"score_spread":0.4119538200908694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392817503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897175,0.0009709086,0.0020151865,0.0017835465,0.000071700924,0.0003278217,0.00023823939,0.000013481537,0.004861632],"genre_scores_gemma":[0.99410903,0.0012550532,0.0010968616,0.0007683479,0.000033183274,0.00047095996,0.000077893405,0.000019311916,0.0021693371],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99426633,0.004194465,0.00016789214,0.00029764147,0.00033748968,0.00073622447],"domain_scores_gemma":[0.9855621,0.011569023,0.0008025008,0.00023011971,0.0007905264,0.0010457215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009889174,0.00042412404,0.0006740302,0.0014473364,0.0074170073,0.002676486,0.0014691029,0.0014049754,0.0029437826],"category_scores_gemma":[0.014788881,0.0004918939,0.00049062044,0.0014493108,0.005801264,0.0034463822,0.0045364783,0.0020957245,0.00024538985],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027481174,0.000043440934,0.0022122161,0.0002222542,0.0000043353175,0.00067087734,0.9921395,0.000023698864,0.00042325482,0.00060931087,0.00039028033,0.0032333417],"study_design_scores_gemma":[0.0000028557952,0.00003533986,0.0013211822,0.00022756447,0.0000035616476,0.00016718327,0.9939633,0.000049002814,0.00011574142,0.00011010923,0.0039969524,0.000007159681],"about_ca_topic_score_codex":0.009799022,"about_ca_topic_score_gemma":0.01946783,"teacher_disagreement_score":0.009889174,"about_ca_system_score_codex":0.00392195,"about_ca_system_score_gemma":0.0049573644,"threshold_uncertainty_score":0.05229956},"labels":[],"label_agreement":null},{"id":"W4393123310","doi":"10.2196/42402","title":"Effects of a Web-based Weight Management Education Program on Various Factors for Overweight and Obese Women: Randomized Controlled Trial","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Overweight; Randomized controlled trial; Weight management; Obesity; Web application; Medicine; Weight loss; Gerontology; Physical therapy; World Wide Web; Computer science; Internal medicine","score_opus":0.010776804363697962,"score_gpt":0.38122575467178543,"score_spread":0.37044895030808744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393123310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9447881,0.012982357,0.0015255143,0.00093896827,0.0019249665,0.033452976,0.0015681525,0.0003096242,0.0025094135],"genre_scores_gemma":[0.92295337,0.008907354,0.005471982,0.0014677091,0.0016468278,0.053895388,0.00086795056,0.000038722883,0.0047506816],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9982218,0.00082472834,0.00022158874,0.00030798983,0.0002001813,0.00022378846],"domain_scores_gemma":[0.9985916,0.00050259545,0.00031816683,0.00009000406,0.00012525979,0.00037231582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002463451,0.0015893551,0.005727984,0.0011715568,0.0009694508,0.0012662858,0.001330099,0.0027773713,0.010385785],"category_scores_gemma":[0.0032899242,0.00092160434,0.0032832436,0.0009718053,0.0011322098,0.0012057199,0.0008321556,0.0027766558,0.0007834734],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.97297984,0.011810491,0.00028410795,0.0018354717,0.0015256678,0.000023876932,0.00003622448,0.00010000956,0.00049950974,0.00004471621,0.0002127028,0.010647227],"study_design_scores_gemma":[0.9715854,0.026138917,0.00085029134,0.00009663272,0.0008653127,0.000006738133,0.00001655016,0.00013142,0.00011181767,0.00003094405,0.0001599077,0.000006148348],"about_ca_topic_score_codex":0.0027632446,"about_ca_topic_score_gemma":0.0051174182,"teacher_disagreement_score":0.010385785,"about_ca_system_score_codex":0.0010725704,"about_ca_system_score_gemma":0.002081322,"threshold_uncertainty_score":0.034743905},"labels":[],"label_agreement":null},{"id":"W4394615466","doi":"10.2196/53815","title":"Cognitive Behavioral Therapy for Symptom Preoccupation Among Patients With Premature Ventricular Contractions: Nonrandomized Pretest-Posttest Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Karolinska Institutet","keywords":"Medicine; Hypervigilance; Quality of life (healthcare); Cognition; Physical therapy; Cardiology; Psychiatry","score_opus":0.009637237246652962,"score_gpt":0.3030312034546531,"score_spread":0.2933939662080002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394615466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941273,0.00009408823,0.00022415353,0.000106250205,0.00008487794,0.0046637924,0.00015569321,0.00002690441,0.00051709876],"genre_scores_gemma":[0.98773426,0.00018745383,0.0013529517,0.00037322633,0.00017849122,0.008965184,0.0002659126,0.0000063985117,0.0009361052],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99855596,0.0006681656,0.000131789,0.00018652114,0.00017147759,0.00028609714],"domain_scores_gemma":[0.9974347,0.00094432454,0.00031293897,0.00025728578,0.00022536259,0.00082545605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025925918,0.00095562125,0.0021165472,0.0005440068,0.0009562839,0.00045251637,0.0008862439,0.0012316974,0.005687034],"category_scores_gemma":[0.0037837245,0.00056651543,0.0009318228,0.00039065562,0.0008096529,0.0006573206,0.00047228078,0.002149258,0.0012381161],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.27182382,0.6587941,0.011977461,0.000273552,0.00033162607,0.0001292459,0.0006245041,0.000461437,0.0027446533,0.00008792129,0.000863914,0.051887654],"study_design_scores_gemma":[0.30795437,0.64792645,0.04213996,0.000021619438,0.00013124106,0.00003133382,0.00012310405,0.0006230734,0.00046161536,0.00008608025,0.0004814284,0.000019761013],"about_ca_topic_score_codex":0.0019978627,"about_ca_topic_score_gemma":0.0027762386,"teacher_disagreement_score":0.005687034,"about_ca_system_score_codex":0.0008491498,"about_ca_system_score_gemma":0.002156723,"threshold_uncertainty_score":0.019025028},"labels":[],"label_agreement":null},{"id":"W4394696623","doi":"10.2196/57111","title":"Accurate Modeling of Ejection Fraction and Stroke Volume With Mobile Phone Auscultation: Prospective Case-Control Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Auscultation; Mobile phone; Ejection fraction; Stroke volume; Stroke (engine); Medicine; Cardiology; Computer science; Engineering; Telecommunications; Heart failure; Mechanical engineering","score_opus":0.010926252717423302,"score_gpt":0.2891934725019723,"score_spread":0.278267219784549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394696623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989422,0.00014047175,0.00055750605,0.00001792966,0.000009911648,0.00003977016,0.00009420632,0.0000050859016,0.00019293766],"genre_scores_gemma":[0.9992448,0.0000613247,0.0003441133,0.00001997746,0.000019547575,0.000038917435,0.00017482383,0.0000038345124,0.00009279601],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980684,0.0005975983,0.00019668063,0.0006499458,0.0003198579,0.00016761715],"domain_scores_gemma":[0.99588543,0.001505183,0.0008272805,0.000955456,0.0004914032,0.00033533614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003074512,0.00088976545,0.0005727709,0.0012677467,0.0009999975,0.0011721004,0.0010453047,0.0013937285,0.0024338632],"category_scores_gemma":[0.00617389,0.0010212497,0.0010117688,0.0006695964,0.0007936576,0.0009230487,0.0006974915,0.0012084403,0.0004722182],"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":[0.0008801636,0.0009533284,0.9952441,0.000018467239,0.00020686798,0.00040807197,0.00017829561,0.00008638734,0.000399503,0.000037079164,0.000118685224,0.001468975],"study_design_scores_gemma":[0.00021749143,0.0025360931,0.99205,0.000014175365,0.0002624486,0.001719513,0.00047228113,0.0021022446,0.00022307585,0.00009192556,0.0002838474,0.000026788191],"about_ca_topic_score_codex":0.003559323,"about_ca_topic_score_gemma":0.0027749438,"teacher_disagreement_score":0.003559323,"about_ca_system_score_codex":0.00046337876,"about_ca_system_score_gemma":0.0004483656,"threshold_uncertainty_score":0.01625979},"labels":[],"label_agreement":null},{"id":"W4394951469","doi":"10.2196/53421","title":"A Multidisciplinary Assessment of ChatGPT’s Knowledge of Amyloidosis: Observational Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Observational study; Multidisciplinary approach; Amyloidosis; Medical physics; Medicine; Intensive care medicine; Internal medicine; Sociology","score_opus":0.3116387691981336,"score_gpt":0.5349873825719419,"score_spread":0.2233486133738083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394951469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998679,0.0003316027,0.000114738694,0.00007471396,0.00001052433,0.000047880952,0.00032503574,0.0000043862733,0.00041212104],"genre_scores_gemma":[0.9993061,0.00011711974,0.00012461946,0.000050125775,0.00001668562,0.000054453634,0.000272297,0.0000036442368,0.000054886583],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9933848,0.0024999515,0.0012835843,0.0011252528,0.001196819,0.0005095946],"domain_scores_gemma":[0.96428937,0.011060291,0.01472596,0.0019319766,0.0048440993,0.0031482833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00588699,0.00038812438,0.0011044234,0.0029271229,0.001261613,0.0015670864,0.0010418976,0.0012976483,0.00196759],"category_scores_gemma":[0.027210515,0.00052841817,0.0013370343,0.0026342985,0.0007572691,0.001980923,0.002787232,0.0014155242,0.00046550273],"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":[0.00008931764,0.00007448028,0.9972071,0.000068814006,0.00008033281,0.00013868754,0.0011965758,0.000021832004,0.000042681848,0.000011735998,0.00016809863,0.000900362],"study_design_scores_gemma":[0.000023343833,0.0003020613,0.99360114,0.000092333525,0.00010232776,0.0007808371,0.0041942997,0.00039476476,0.000043634776,0.000043690077,0.00039931282,0.000022261378],"about_ca_topic_score_codex":0.0049685095,"about_ca_topic_score_gemma":0.004055574,"teacher_disagreement_score":0.00588699,"about_ca_system_score_codex":0.0010421864,"about_ca_system_score_gemma":0.0009813145,"threshold_uncertainty_score":0.031133711},"labels":[],"label_agreement":null},{"id":"W4394996333","doi":"10.2196/53091","title":"Use of Machine Learning for Early Detection of Maternal Cardiovascular Conditions: Retrospective Study Using Electronic Health Record Data","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiovascular Issues in Pregnancy","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institutes of Health","keywords":"Medicine; Pregnancy; Retrospective cohort study; Electronic health record; Health records; Health care; Medical emergency; Intensive care medicine; Internal medicine","score_opus":0.04866509182188834,"score_gpt":0.34232777975179923,"score_spread":0.2936626879299109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394996333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972395,0.0002658217,0.0010932989,0.000062987645,0.0000069722,0.00007018918,0.0009495599,0.000011030524,0.00030063343],"genre_scores_gemma":[0.9975292,0.00015356604,0.0012671871,0.000042925043,0.00000935758,0.000046582427,0.00087930943,0.000006637562,0.00006511244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9932904,0.0032436224,0.0010661486,0.0009392528,0.0011707474,0.000289769],"domain_scores_gemma":[0.96543247,0.017647116,0.008167842,0.0039927526,0.0041009467,0.0006588987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009729785,0.00029263063,0.00037134116,0.001632032,0.00028966804,0.0009483331,0.0006828396,0.0005298983,0.0005656915],"category_scores_gemma":[0.03794336,0.00039094882,0.00072499126,0.0014287131,0.00033397978,0.0009840524,0.00067755766,0.00073628366,0.00027093056],"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":[0.00009636884,0.00007531571,0.99736965,0.000016553644,0.00006077576,0.00004606082,0.000121743695,0.000111218345,0.00006953762,0.000026712212,0.000094294955,0.0019117505],"study_design_scores_gemma":[0.000020597407,0.00067353406,0.98960775,0.000065428656,0.00017770332,0.0006071367,0.000752333,0.0065145395,0.000619128,0.000078946185,0.0008632235,0.00001972187],"about_ca_topic_score_codex":0.004754338,"about_ca_topic_score_gemma":0.0045305304,"teacher_disagreement_score":0.009729785,"about_ca_system_score_codex":0.00052439386,"about_ca_system_score_gemma":0.0008216156,"threshold_uncertainty_score":0.05145663},"labels":[],"label_agreement":null},{"id":"W4396525648","doi":"10.2196/52648","title":"Evaluation of a New Telemedicine System for Early Detection of Cardiac Instability in Patients With Chronic Heart Failure: Real-Life Out-of-Hospital Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Heart failure; Medicine; Telemedicine; Internal medicine; Cardiology; Oxygen saturation; Emergency medicine; Intensive care medicine; Health care; Oxygen","score_opus":0.01908868687758676,"score_gpt":0.2965931431050336,"score_spread":0.27750445622744685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396525648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999046,0.00006284442,0.00035075427,0.00002447765,0.0000074787513,0.00022259404,0.000097595694,0.000009226292,0.00017886888],"genre_scores_gemma":[0.99809986,0.0000849623,0.0009508886,0.00008032463,0.000048748538,0.0003571802,0.00028221012,0.0000039411093,0.00009181518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978484,0.001400963,0.00016968854,0.00022160071,0.00021074744,0.00014854968],"domain_scores_gemma":[0.99238694,0.0034539483,0.0009307189,0.00063227833,0.001498543,0.0010975793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038769003,0.00086306786,0.0010411514,0.00088950986,0.00039315276,0.0006601083,0.00046225867,0.0010659305,0.0011368543],"category_scores_gemma":[0.007142498,0.00026503718,0.0009234872,0.0004420931,0.00057323923,0.00092075265,0.0005713034,0.00054697046,0.00028823302],"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":[0.035053026,0.032379046,0.86739177,0.00054377725,0.0008140223,0.0008937583,0.0017136324,0.0024520715,0.0059949565,0.000106186286,0.0005962351,0.052061595],"study_design_scores_gemma":[0.0054310486,0.2432674,0.7298052,0.00006563771,0.000785581,0.0008983264,0.0009135866,0.014397169,0.003435743,0.000065124,0.00084060186,0.00009470156],"about_ca_topic_score_codex":0.0013366822,"about_ca_topic_score_gemma":0.0008924294,"teacher_disagreement_score":0.0038769003,"about_ca_system_score_codex":0.0007324876,"about_ca_system_score_gemma":0.00045165105,"threshold_uncertainty_score":0.020503223},"labels":[],"label_agreement":null},{"id":"W4399025998","doi":"10.2196/57058","title":"Analysis of Demographic and Socioeconomic Factors Influencing Adherence to a Web-Based Intervention Among Patients After Acute Coronary Syndrome: Prospective Observational Cohort Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Observational study; Preprint; Socioeconomic status; Medicine; Acute coronary syndrome; Prospective cohort study; Intervention (counseling); Cohort study; Gerontology; Internal medicine; Environmental health; Population; Nursing; World Wide Web","score_opus":0.01564912455521394,"score_gpt":0.3206312183923821,"score_spread":0.3049820938371682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399025998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992235,0.000067965746,0.000058390327,0.000023747352,0.000004850985,0.00004372016,0.00043311494,0.0000016224301,0.00014300988],"genre_scores_gemma":[0.99909043,0.000064525804,0.000115331306,0.00003760033,0.000008905668,0.00006200624,0.0005551814,0.0000014928154,0.000064490494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99866784,0.00042334004,0.0002076002,0.00025311983,0.00024819348,0.00019984375],"domain_scores_gemma":[0.9967769,0.0005168303,0.0014644578,0.00034263954,0.00035038087,0.0005488874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018314152,0.00035704707,0.00060620334,0.0010266398,0.0008014636,0.00095939485,0.0006401257,0.000915927,0.0013909162],"category_scores_gemma":[0.004446718,0.0005183988,0.0009973908,0.0017081024,0.00029037145,0.00077466463,0.0007002495,0.0011286406,0.00030732263],"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":[0.00012851844,0.00018738919,0.9991242,0.000008260321,0.000059644033,0.000025454892,0.00006573684,0.000011670849,0.00004706152,0.000003934183,0.000042039926,0.00029601488],"study_design_scores_gemma":[0.000024697036,0.00030236293,0.99911004,0.0000062775753,0.000029964234,0.000056284192,0.00023755428,0.00015410423,0.000015519761,0.0000058813025,0.000053133823,0.0000041937196],"about_ca_topic_score_codex":0.010548627,"about_ca_topic_score_gemma":0.010974871,"teacher_disagreement_score":0.010548627,"about_ca_system_score_codex":0.0004863924,"about_ca_system_score_gemma":0.0006376119,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4399075718","doi":"10.2196/51916","title":"The Effect of an AI-Based, Autonomous, Digital Health Intervention Using Precise Lifestyle Guidance on Blood Pressure in Adults With Hypertension: Single-Arm Nonrandomized Trial","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of California, San Diego","keywords":"Health coaching; Medicine; Blood pressure; Coaching; Physical therapy; Sedentary lifestyle; Randomized controlled trial; Physical activity; Internal medicine; Psychology","score_opus":0.015829786934734295,"score_gpt":0.289598875416524,"score_spread":0.2737690884817897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399075718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98937106,0.0018550501,0.000765144,0.000410571,0.00039425245,0.005647212,0.0003548328,0.00011367753,0.001088182],"genre_scores_gemma":[0.9868896,0.0009150113,0.002659685,0.0005672493,0.00033558544,0.0071770623,0.00024739467,0.0000095977675,0.0011989627],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9988489,0.0005913438,0.00011938635,0.00024637717,0.0000929031,0.00010101449],"domain_scores_gemma":[0.9987,0.0004890835,0.0002815387,0.00011340823,0.00009467573,0.00032123094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014862509,0.0011636257,0.0019630333,0.0005095779,0.0005422601,0.0009563863,0.00077897473,0.001934958,0.0036324004],"category_scores_gemma":[0.0028737779,0.00053632696,0.001634279,0.0003383665,0.00088635157,0.0007708784,0.0005747257,0.0016993532,0.0005475648],"study_design_candidate":"nonrandomized_trial","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":[0.9392641,0.02881198,0.0011059542,0.0010029742,0.0015873369,0.000026949425,0.00008896097,0.00041917904,0.0015239196,0.000088820336,0.00033618376,0.02574364],"study_design_scores_gemma":[0.8554711,0.13830382,0.0040487484,0.00006788993,0.0006717054,0.000014911703,0.000027479367,0.0006726708,0.00033574828,0.00013252598,0.00024165578,0.000011833672],"about_ca_topic_score_codex":0.0013449711,"about_ca_topic_score_gemma":0.001532458,"teacher_disagreement_score":0.0036324004,"about_ca_system_score_codex":0.0005527065,"about_ca_system_score_gemma":0.00097324286,"threshold_uncertainty_score":0.012151599},"labels":[],"label_agreement":null},{"id":"W4399169091","doi":"10.2196/59243","title":"Smart Device Ownership and Use of Social Media, Wearable Trackers, and Health Apps Among Black Women With Hypertension in the United States: National Survey Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Complementary and Integrative Health; National Heart, Lung, and Blood Institute; Institute for Collaboration on Health, Intervention, and Policy, University of Connecticut; National Institutes of Health; University of Connecticut","keywords":"Activity tracker; Wearable computer; Social media; BitTorrent tracker; Cardiovascular health; Internet privacy; Wearable technology; African american; Psychology; Advertising; Medicine; Gerontology; Computer science; Business; World Wide Web; Sociology; Artificial intelligence","score_opus":0.1531356069517511,"score_gpt":0.409056457289806,"score_spread":0.2559208503380549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399169091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959847,0.0003213428,0.00008399637,0.00020180354,0.000011243822,0.000025491037,0.0018193715,0.000004659187,0.001547365],"genre_scores_gemma":[0.9979893,0.00027009717,0.00011890697,0.00018582512,0.000011785619,0.000031196858,0.00076997513,0.000004410508,0.0006183927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99955386,0.00008994906,0.00005647198,0.000078922334,0.00013679435,0.00008401271],"domain_scores_gemma":[0.99854916,0.0001332818,0.0007063756,0.00007355525,0.0002693764,0.00026824482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007262317,0.00018703366,0.000256738,0.00080717704,0.00067235704,0.0005594432,0.0003389654,0.0005366548,0.0018497417],"category_scores_gemma":[0.0016235064,0.0003426485,0.0005367614,0.00097523845,0.00023119278,0.000718737,0.00060568214,0.0008396823,0.00035729492],"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":[0.000030039175,0.00007167218,0.9980769,0.00001400744,0.00005407634,0.000013717935,0.00024459892,0.000010158608,0.00009725345,0.000013901376,0.0002612203,0.0011125541],"study_design_scores_gemma":[0.0000023381153,0.000026397407,0.9989003,0.000016327853,0.000025708343,0.00003403786,0.0006675475,0.00004880141,0.00002437018,0.0000091152115,0.00024197245,0.0000030985334],"about_ca_topic_score_codex":0.046300985,"about_ca_topic_score_gemma":0.07454344,"teacher_disagreement_score":0.046300985,"about_ca_system_score_codex":0.00038426332,"about_ca_system_score_gemma":0.00045084025,"threshold_uncertainty_score":0.09206295},"labels":[],"label_agreement":null},{"id":"W4399800141","doi":"10.2196/49515","title":"Persuasive Systems Design Trends in Coronary Heart Disease Management: Scoping Review of Randomized Controlled Trials","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Commission","keywords":"Persuasion; Systematic review; Context (archaeology); Credibility; Scopus; Psychology; Applied psychology; Behavior change; Social cognitive theory; MEDLINE; Knowledge management; Medicine; Computer science; Social psychology","score_opus":0.12891351492135605,"score_gpt":0.4739790450907728,"score_spread":0.34506553016941677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399800141","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00078871805,0.9945504,0.0006291814,0.00040366116,0.0002787006,0.0026484486,0.00026491837,0.000021676484,0.00041418476],"genre_scores_gemma":[0.016337503,0.9683833,0.004036196,0.00084791746,0.00023224809,0.009544069,0.00039470787,0.000022326656,0.0002018401],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9338738,0.029568877,0.02436686,0.002929009,0.008348379,0.0009130608],"domain_scores_gemma":[0.8191835,0.14192995,0.022287916,0.0032195149,0.012620976,0.0007581249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.073280595,0.0025244697,0.0147477165,0.015561697,0.0015638229,0.006795353,0.004202585,0.0057752393,0.0085258745],"category_scores_gemma":[0.22423759,0.0021333364,0.016914682,0.015886273,0.0021300663,0.004994909,0.0032046135,0.0034845436,0.0007008093],"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":[0.00072950183,0.00005597177,0.0003363287,0.9317539,0.01043664,0.000036199905,0.00022871757,0.00014957183,0.000106787076,0.0004482542,0.00090166024,0.054816548],"study_design_scores_gemma":[0.0008351393,0.00044938692,0.0010500303,0.9400769,0.04796974,0.00007531832,0.00020104049,0.0001334594,0.00018074128,0.0005451688,0.008453863,0.000029101258],"about_ca_topic_score_codex":0.008125731,"about_ca_topic_score_gemma":0.014124659,"teacher_disagreement_score":0.073280595,"about_ca_system_score_codex":0.008703391,"about_ca_system_score_gemma":0.02664291,"threshold_uncertainty_score":0.38754946},"labels":[],"label_agreement":null},{"id":"W4400079702","doi":"10.2196/59948","title":"Feasibility, Acceptability, and Preliminary Effectiveness of a Combined Digital Platform and Community Health Worker Intervention for Patients With Heart Failure: Pilot Randomized Controlled Trial","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Randomized controlled trial; Heart failure; Medicine; Intervention (counseling); Physical therapy; Pilot trial; Nursing; Surgery; Internal medicine","score_opus":0.018532063012474544,"score_gpt":0.3112821551126343,"score_spread":0.29275009210015973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400079702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90830564,0.00092629215,0.0012425174,0.00074088253,0.0006576142,0.08469381,0.0011838941,0.0001815628,0.002067775],"genre_scores_gemma":[0.88531804,0.00062022643,0.0064963973,0.00072442007,0.0004888688,0.10453683,0.0004774438,0.000017517405,0.001320279],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99306,0.0045730486,0.00057220104,0.00075154536,0.00041901108,0.00062421395],"domain_scores_gemma":[0.9922497,0.0032700421,0.0015116016,0.0006037277,0.0007189573,0.0016460385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007862756,0.0023424337,0.002891677,0.0008629037,0.0013121088,0.0014208772,0.0016357175,0.0032068854,0.010144388],"category_scores_gemma":[0.010495948,0.001153331,0.0031402048,0.0007022872,0.002245922,0.0018539875,0.0017075487,0.0027472028,0.0010546247],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9164403,0.063504085,0.0016311974,0.0011117378,0.0011666928,0.000047144564,0.00021857985,0.00025049385,0.00079147884,0.00009258696,0.0005332567,0.014212471],"study_design_scores_gemma":[0.8580023,0.13838832,0.0023663994,0.000058482878,0.00039491817,0.000008463938,0.00005834116,0.00022156388,0.000179546,0.00007556959,0.00023488584,0.000011191967],"about_ca_topic_score_codex":0.0026290356,"about_ca_topic_score_gemma":0.003699503,"teacher_disagreement_score":0.010144388,"about_ca_system_score_codex":0.0016176292,"about_ca_system_score_gemma":0.0038813355,"threshold_uncertainty_score":0.041582763},"labels":[],"label_agreement":null},{"id":"W4400231081","doi":"10.2196/57241","title":"Contactless and Calibration-Free Blood Pressure and Pulse Rate Monitor for Screening and Monitoring of Hypertension: Cross-Sectional Validation Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Calibration; Blood pressure; Medicine; Cross-sectional study; Computer science; Internal medicine; Statistics; Mathematics","score_opus":0.030417741335244334,"score_gpt":0.2712079744490137,"score_spread":0.24079023311376935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400231081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964496,0.00013534068,0.0014427751,0.000031744366,0.000023676506,0.0008351758,0.00032110608,0.000014264938,0.0007463221],"genre_scores_gemma":[0.995201,0.00012424076,0.0021988498,0.00022242249,0.000025852307,0.00077412534,0.0007930453,0.000016139958,0.00064429844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9949385,0.0019345678,0.00042215793,0.00085837906,0.0015960528,0.0002503389],"domain_scores_gemma":[0.9858153,0.0040065097,0.0019556528,0.0016736599,0.0058631543,0.0006857501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009492163,0.0007775557,0.00057828357,0.00061818265,0.000948259,0.0007827821,0.0007198735,0.00096907536,0.0016979753],"category_scores_gemma":[0.012768597,0.0005597344,0.0010836739,0.00044276682,0.0008258176,0.00087368983,0.0006748501,0.001244867,0.0009049761],"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":[0.0022114925,0.012818193,0.9670414,0.0002609453,0.00058191543,0.00026433062,0.0029716217,0.00023323692,0.002718162,0.00018457545,0.00109772,0.009616571],"study_design_scores_gemma":[0.00043612364,0.024306193,0.9655249,0.000103403276,0.0005645566,0.00089523254,0.0018007705,0.001826411,0.0018916627,0.00009268913,0.0025188695,0.000039268947],"about_ca_topic_score_codex":0.00344512,"about_ca_topic_score_gemma":0.004554507,"teacher_disagreement_score":0.009492163,"about_ca_system_score_codex":0.0005655414,"about_ca_system_score_gemma":0.0011667741,"threshold_uncertainty_score":0.050199926},"labels":[],"label_agreement":null},{"id":"W4400917200","doi":"10.2196/54994","title":"Identifying Predictors of Heart Failure Readmission in Patients From a Statutory Health Insurance Database: Retrospective Machine Learning Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Heart failure; Rurality; Logistic regression; COPD; Population; Emergency medicine; Internal medicine; Database; Rural area; Environmental health","score_opus":0.015553771320804773,"score_gpt":0.3054635320115888,"score_spread":0.28990976069078406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400917200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99765354,0.000094151575,0.00015249246,0.0000506222,0.000004721386,0.00001782594,0.0019008934,0.00000436706,0.00012132533],"genre_scores_gemma":[0.99609596,0.0000586519,0.00017434124,0.00004108954,0.0000114643735,0.000029629742,0.0035251772,0.0000023266114,0.000061366394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838674,0.00046164615,0.00022689509,0.00032771568,0.0002978915,0.00029914157],"domain_scores_gemma":[0.99525553,0.0010970432,0.002009807,0.0006303611,0.0005021413,0.0005051114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021248944,0.00032698148,0.0006204267,0.0015008978,0.00050024095,0.00085670187,0.00071990886,0.0005785738,0.0008900037],"category_scores_gemma":[0.00621065,0.0003959132,0.00070073846,0.0023674446,0.00035527584,0.00072201644,0.000931683,0.0009767282,0.0002604314],"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":[0.00006120421,0.00004239407,0.9990606,0.00000630461,0.00004321946,0.000026962914,0.000038509857,0.000088904286,0.000033685228,0.000013584375,0.00017806118,0.00040659492],"study_design_scores_gemma":[0.0000104861365,0.00007124714,0.9977258,0.000011708723,0.000045233483,0.00009328818,0.00015051506,0.0016373844,0.000032581072,0.000021022646,0.00019556588,0.000005368333],"about_ca_topic_score_codex":0.018057352,"about_ca_topic_score_gemma":0.021093715,"teacher_disagreement_score":0.018057352,"about_ca_system_score_codex":0.00085211266,"about_ca_system_score_gemma":0.001008786,"threshold_uncertainty_score":0.035904467},"labels":[],"label_agreement":null},{"id":"W4402356392","doi":"10.2196/57328","title":"The Development of Heart Failure Electronic-Message Driven Tips to Support Self-Management: Co-Design Case Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council","keywords":"Preprint; Heart failure; Key (lock); Medicine; Digital health; Patient education; Self-management; Intensive care medicine; Health care; Medical emergency; Nursing; Computer science; Political science; Computer security; World Wide Web; Cardiology","score_opus":0.017862945177188238,"score_gpt":0.3101779241241885,"score_spread":0.29231497894700026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402356392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9305455,0.0023978602,0.04301662,0.0046909405,0.0003312762,0.0069889547,0.00022399113,0.00015226132,0.011652658],"genre_scores_gemma":[0.9007534,0.0016511447,0.08222669,0.0023191483,0.000109039174,0.004881226,0.00015965707,0.00012354508,0.0077761826],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.95678097,0.0357025,0.0014436168,0.0015523044,0.0024482156,0.0020724004],"domain_scores_gemma":[0.9572709,0.029457038,0.0026190837,0.002442555,0.0032908807,0.0049195597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.032542564,0.000867092,0.00068706,0.0014685343,0.0042049005,0.0026734548,0.0029189042,0.0039370097,0.003337662],"category_scores_gemma":[0.049740843,0.0007466474,0.0012254233,0.00077468675,0.002562891,0.0020582166,0.0050314446,0.0027106819,0.0009927588],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021004346,0.021368561,0.05852359,0.009032231,0.00033410868,0.06151186,0.4874993,0.0036886402,0.00907636,0.008831222,0.015316069,0.32271767],"study_design_scores_gemma":[0.0023732248,0.030848077,0.037666913,0.00777388,0.00063023606,0.058349866,0.52391994,0.015786944,0.019853437,0.010783387,0.2914213,0.00059291057],"about_ca_topic_score_codex":0.0012158261,"about_ca_topic_score_gemma":0.0035413476,"teacher_disagreement_score":0.032542564,"about_ca_system_score_codex":0.003168109,"about_ca_system_score_gemma":0.004402219,"threshold_uncertainty_score":0.17210364},"labels":[],"label_agreement":null},{"id":"W4402360387","doi":"10.2196/60503","title":"Identifying the Severity of Heart Valve Stenosis and Regurgitation Among a Diverse Population Within an Integrated Health Care System: Natural Language Processing Approach","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Aging; Kaiser Permanente","keywords":"Medicine; Regurgitation (circulation); Stenosis; Pulmonic stenosis; Internal medicine; Cardiology; Mitral regurgitation; valvular heart disease; Radiology","score_opus":0.01704751699582007,"score_gpt":0.34904744701834617,"score_spread":0.3319999300225261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402360387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5568564,0.0011980033,0.4149089,0.0041768067,0.00008688724,0.0036485917,0.013341429,0.0022701,0.0035129467],"genre_scores_gemma":[0.555405,0.00035294576,0.43098113,0.0006962124,0.00010141938,0.0011774289,0.010830204,0.000050372702,0.00040528926],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99537635,0.0019784332,0.0006990184,0.0013971245,0.0004020531,0.000147018],"domain_scores_gemma":[0.9806113,0.01622594,0.001561803,0.00038155456,0.0010371768,0.00018236382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006697497,0.0009049558,0.0007190648,0.007859606,0.00085916294,0.00245251,0.0013685679,0.0010517241,0.0011267156],"category_scores_gemma":[0.018164564,0.0004079552,0.0016875393,0.002995649,0.00082974765,0.0013497671,0.0014646658,0.0011613109,0.000344783],"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":[0.0009090017,0.0023913216,0.44464126,0.0027817478,0.0010129381,0.0049061617,0.008083378,0.081982814,0.019706063,0.0038391196,0.010272197,0.4194741],"study_design_scores_gemma":[0.0001995621,0.00058419874,0.15034945,0.00040701774,0.00055776007,0.0020629715,0.0069696247,0.8031084,0.0059488197,0.02263348,0.0070266398,0.0001519718],"about_ca_topic_score_codex":0.011454097,"about_ca_topic_score_gemma":0.013051939,"teacher_disagreement_score":0.011454097,"about_ca_system_score_codex":0.0018610036,"about_ca_system_score_gemma":0.0027038415,"threshold_uncertainty_score":0.03542012},"labels":[],"label_agreement":null},{"id":"W4402637888","doi":"10.2196/52266","title":"Impact of an mHealth App (Kencom) on Patients With Untreated Hypertension Initiating Antihypertensive Medications: Real-World Cohort Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Medicine; Cohort; Cohort study; Gerontology; Internal medicine; Computer science; World Wide Web","score_opus":0.03973967398549306,"score_gpt":0.4318864073231816,"score_spread":0.39214673333768857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402637888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975592,0.00017334853,0.00007036806,0.00008521978,0.000014856506,0.00011128638,0.0016483665,0.0000043450705,0.0003329214],"genre_scores_gemma":[0.9970337,0.00021711808,0.0002616318,0.00018598035,0.00004145368,0.00023095003,0.0016186647,0.000008761449,0.0004017616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982686,0.00053359894,0.00018461786,0.00045279696,0.0002529284,0.00030753613],"domain_scores_gemma":[0.99447256,0.0012500498,0.0020292741,0.0007422284,0.00069826725,0.00080765877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020720381,0.0004350423,0.0007065951,0.00076905004,0.0012992158,0.0015011758,0.0007529918,0.0011112521,0.0030959817],"category_scores_gemma":[0.007644886,0.00059389294,0.0018622323,0.0013795964,0.00038611217,0.0015245229,0.0012532908,0.0021181975,0.00078433886],"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":[0.00093452266,0.0009270972,0.99429977,0.00008027923,0.00044005082,0.00013074171,0.00041941757,0.000040461087,0.0001144839,0.000022321243,0.0006393576,0.001951564],"study_design_scores_gemma":[0.00015408236,0.0010969408,0.9962871,0.000043503427,0.00033684348,0.00018443038,0.00085132534,0.0003475652,0.000048879578,0.000025615695,0.0005955263,0.000028234534],"about_ca_topic_score_codex":0.01941223,"about_ca_topic_score_gemma":0.021640517,"teacher_disagreement_score":0.01941223,"about_ca_system_score_codex":0.0007386802,"about_ca_system_score_gemma":0.0010684065,"threshold_uncertainty_score":0.038598478},"labels":[],"label_agreement":null},{"id":"W4402843730","doi":"10.2196/57960","title":"Results of a Digital Multimodal Motivational and Educational Program as Follow-Up Care for Former Cardiac Rehabilitation Patients: Randomized Controlled Trial","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Deutsche Rentenversicherung","keywords":"Preprint; Rehabilitation; Randomized controlled trial; Physical therapy; Medicine; Psychology; Physical medicine and rehabilitation; Computer science; Internal medicine; World Wide Web","score_opus":0.008608768719052652,"score_gpt":0.34486372186618736,"score_spread":0.3362549531471347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402843730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9319326,0.02414193,0.0014203045,0.001846204,0.0033660855,0.030166678,0.002282795,0.00030569508,0.0045377137],"genre_scores_gemma":[0.93368036,0.009672835,0.0034790882,0.0021007974,0.0019472403,0.04252591,0.0012936961,0.000031088955,0.0052690236],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9983877,0.0007204999,0.00021072062,0.00032005244,0.00014306957,0.0002178837],"domain_scores_gemma":[0.99848133,0.00052120065,0.0003907553,0.00010388781,0.00010697928,0.00039584772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022029453,0.0017683189,0.0053815553,0.0008784173,0.0009128251,0.0018124499,0.0013312597,0.0033624715,0.016077593],"category_scores_gemma":[0.0036517528,0.0008057991,0.0034510118,0.0008036244,0.0011412819,0.0012639463,0.00092054607,0.0028298346,0.0012840158],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9761945,0.008373224,0.00036265675,0.0024046095,0.0022968382,0.000026934844,0.00003112294,0.000075919146,0.0003052282,0.000059729355,0.00032067116,0.009548617],"study_design_scores_gemma":[0.9742565,0.022457143,0.0010523112,0.00019223592,0.0015200329,0.00000773284,0.000021762326,0.00011266339,0.0000698102,0.00006624585,0.0002347464,0.000008792993],"about_ca_topic_score_codex":0.0021304647,"about_ca_topic_score_gemma":0.003205916,"teacher_disagreement_score":0.016077593,"about_ca_system_score_codex":0.0010422837,"about_ca_system_score_gemma":0.0015838606,"threshold_uncertainty_score":0.053784966},"labels":[],"label_agreement":null},{"id":"W4403027633","doi":"10.2196/49895","title":"Evaluation of the Effectiveness of Advanced Technology Clinical Simulation Manikins in Improving the Capability of Australian Paramedics to Deliver High-Quality Cardiopulmonary Resuscitation: Pre- and Postintervention Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Hunter Medical Research Institute; Hunter New England Local Health District","keywords":"Cardiopulmonary resuscitation; Preprint; Intervention (counseling); Quality (philosophy); Medicine; Resuscitation; Medical emergency; Medical education; Emergency medicine; Nursing; Computer science","score_opus":0.07862126158451666,"score_gpt":0.4852604597937456,"score_spread":0.40663919820922895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403027633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988048,0.000045415865,0.00009310628,0.000019544485,0.000010919159,0.0006623326,0.000022181637,0.0000074850786,0.00033423922],"genre_scores_gemma":[0.99638003,0.0001347436,0.001313618,0.000038368576,0.000019730966,0.0015123192,0.0000749851,0.000002419355,0.0005238049],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99753237,0.0013063353,0.00023372416,0.00028183375,0.00032449418,0.00032128248],"domain_scores_gemma":[0.9938034,0.002006283,0.0011207305,0.00038794422,0.0011978887,0.00148376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046814494,0.0007361072,0.0010181211,0.00044317814,0.000611899,0.00054436317,0.00083300483,0.0007480632,0.0016502395],"category_scores_gemma":[0.011621798,0.0005457212,0.0006536159,0.00029024965,0.0006399616,0.000795995,0.0010588312,0.0011973641,0.00030084513],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.116951235,0.4775643,0.08951547,0.0028770487,0.0007480898,0.00047415993,0.02003652,0.0020915393,0.021726707,0.00017560054,0.0014918419,0.2663475],"study_design_scores_gemma":[0.006262481,0.50765455,0.47485596,0.000115318086,0.00036129766,0.00008898659,0.0024921657,0.0014606658,0.0049658823,0.00008022189,0.0015948042,0.000067600005],"about_ca_topic_score_codex":0.0028439604,"about_ca_topic_score_gemma":0.004244752,"teacher_disagreement_score":0.0046814494,"about_ca_system_score_codex":0.0010193256,"about_ca_system_score_gemma":0.001469391,"threshold_uncertainty_score":0.02475816},"labels":[],"label_agreement":null},{"id":"W4403176092","doi":"10.2196/50693","title":"A Medication Management App (Smart-Meds) for Patients After an Acute Coronary Syndrome: Pilot Pre-Post Mixed Methods Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Acute coronary syndrome; Medicine; Gerontology; Psychology; Internal medicine; Computer science; World Wide Web","score_opus":0.02782668631423768,"score_gpt":0.3819523076447684,"score_spread":0.3541256213305307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403176092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892609,0.000091000955,0.0006760183,0.0000780325,0.00003656012,0.008979498,0.0002786345,0.000032413336,0.0005669905],"genre_scores_gemma":[0.93523663,0.00061671826,0.012389623,0.0006467246,0.00018732711,0.046337716,0.00060171686,0.00002898407,0.0039545456],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9972452,0.0013288563,0.0002487587,0.00030739637,0.00042587298,0.00044398126],"domain_scores_gemma":[0.99696034,0.0011856679,0.00039526052,0.0003879188,0.00052102195,0.00054967526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061095865,0.001262265,0.0018520831,0.0010767427,0.0016363395,0.0010245289,0.000963087,0.0012983703,0.0058896365],"category_scores_gemma":[0.0048602717,0.00094504305,0.00156777,0.00047775044,0.0010133055,0.00094753597,0.0010944789,0.0013388393,0.0010018207],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.07067057,0.67774916,0.048199646,0.0019489912,0.0008244969,0.0007818663,0.010590906,0.0003715216,0.011731659,0.00030940474,0.0018692113,0.17495255],"study_design_scores_gemma":[0.030851552,0.8008169,0.15394746,0.00018059509,0.0006691786,0.0002575987,0.00542873,0.00096856285,0.003077325,0.00025700536,0.0034127324,0.00013242807],"about_ca_topic_score_codex":0.0025367155,"about_ca_topic_score_gemma":0.004712772,"teacher_disagreement_score":0.0061095865,"about_ca_system_score_codex":0.0008128068,"about_ca_system_score_gemma":0.0022086378,"threshold_uncertainty_score":0.032310963},"labels":[],"label_agreement":null},{"id":"W4403588378","doi":"10.2196/60238","title":"Causal Inference for Hypertension Prediction With Wearable E lectrocardiogram and P hotoplethysmogram Signals: Feasibility Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Preprint; Inference; Causal inference; Computer science; Artificial intelligence; Econometrics; Mathematics; World Wide Web","score_opus":0.022674361232156597,"score_gpt":0.26821883725145435,"score_spread":0.24554447601929774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403588378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60730094,0.0015021604,0.3833856,0.001443721,0.00015813988,0.00082051085,0.0024070719,0.0010024627,0.0019794735],"genre_scores_gemma":[0.9311828,0.0002981197,0.06617586,0.00010271935,0.00011011532,0.00021815085,0.0015199088,0.00001441264,0.00037781187],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9977596,0.0011836302,0.00012556333,0.000540552,0.0002424034,0.00014824874],"domain_scores_gemma":[0.97470903,0.021892177,0.0009500318,0.0009896732,0.0010614727,0.00039765672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00584376,0.0011499199,0.00090674584,0.0015980919,0.00046175614,0.00080436986,0.0013513493,0.001085876,0.0023719931],"category_scores_gemma":[0.025163034,0.00047744226,0.0014591445,0.000917873,0.0004448733,0.0015570646,0.0009241927,0.0011552008,0.00025515235],"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":[0.0056417403,0.0049954983,0.26440185,0.00092141744,0.0012497688,0.001524447,0.0003728024,0.40605974,0.003755445,0.0075346413,0.004449869,0.29909274],"study_design_scores_gemma":[0.00013953747,0.0002697423,0.008923422,0.00001539864,0.00010875038,0.000087058565,0.000047977173,0.9865218,0.00048075189,0.0031071885,0.00028256112,0.000015752976],"about_ca_topic_score_codex":0.01228387,"about_ca_topic_score_gemma":0.0071955766,"teacher_disagreement_score":0.01228387,"about_ca_system_score_codex":0.0007903746,"about_ca_system_score_gemma":0.001902112,"threshold_uncertainty_score":0.030905128},"labels":[],"label_agreement":null},{"id":"W4403716333","doi":"10.2196/47730","title":"Targeting Key Risk Factors for Cardiovascular Disease in At-Risk Individuals: Developing a Digital, Personalized, and Real-Time Intervention to Facilitate Smoking Cessation and Physical Activity","year":2024,"lang":"en","type":"review","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; ZonMw; Hartstichting; Netherlands eScience Center","keywords":"Preprint; Intervention (counseling); Medicine; Smoking cessation; Key (lock); Disease; Physical activity; Physical therapy; Gerontology; Computer science; Internal medicine; World Wide Web; Nursing; Computer security; Pathology","score_opus":0.10847620448677901,"score_gpt":0.43088040780164305,"score_spread":0.322404203314864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403716333","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32488447,0.11143538,0.3654298,0.08328653,0.0035373853,0.011454178,0.0013393622,0.003628383,0.09500448],"genre_scores_gemma":[0.44781724,0.04706437,0.4776897,0.011313504,0.00037189753,0.0061333114,0.000610497,0.00013971397,0.008859786],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959875,0.0024369285,0.00021228587,0.0002762753,0.00088942767,0.00019766341],"domain_scores_gemma":[0.9956542,0.002915205,0.00027679195,0.0001678287,0.0005211757,0.00046473969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009044792,0.00053055835,0.0006462461,0.0014573198,0.0005961623,0.001976059,0.0010850803,0.0013948459,0.0035311733],"category_scores_gemma":[0.011857394,0.00023296452,0.0009015528,0.0005977708,0.0007196736,0.0018864798,0.0018440053,0.0016100146,0.0008044814],"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":[0.00027365904,0.0020653165,0.0043609147,0.00784057,0.00024050115,0.00017342748,0.0022099726,0.001344961,0.004903952,0.0053593097,0.010020018,0.9612074],"study_design_scores_gemma":[0.0024640323,0.027775396,0.09870652,0.065200694,0.0060092513,0.0026035162,0.023536148,0.030780122,0.048518322,0.05394998,0.63981456,0.00064149493],"about_ca_topic_score_codex":0.0020951072,"about_ca_topic_score_gemma":0.0036906765,"teacher_disagreement_score":0.009044792,"about_ca_system_score_codex":0.00093802926,"about_ca_system_score_gemma":0.0058389036,"threshold_uncertainty_score":0.04783404},"labels":[],"label_agreement":null},{"id":"W4404028852","doi":"10.2196/58219","title":"Technology Readiness Level and Self-Reported Health in Recipients of an Implantable Cardioverter Defibrillator: Cross-Sectional Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac pacing and defibrillation studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Exploratory research; Psychology; Medicine; Gerontology; Computer science; Sociology; World Wide Web","score_opus":0.04517382481531604,"score_gpt":0.37775471893868245,"score_spread":0.33258089412336644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404028852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99940145,0.000065622706,0.00005086079,0.00002324279,0.0000027420817,0.000026807096,0.00017740736,0.0000013511482,0.0002505766],"genre_scores_gemma":[0.99950707,0.00006144649,0.00008217847,0.000036208643,0.0000034545178,0.00003225268,0.00017165727,0.0000010509071,0.000104791885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923337,0.00023365943,0.00010878376,0.00011336798,0.00016863161,0.00014224846],"domain_scores_gemma":[0.9970618,0.0007939877,0.001065221,0.0001423984,0.00036997086,0.000566609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022254412,0.00019093456,0.0003387031,0.0010853518,0.00049324706,0.0008216911,0.00028005766,0.00064417196,0.0019061782],"category_scores_gemma":[0.0034040357,0.00034970156,0.000552869,0.0008964224,0.0003726144,0.0008255446,0.00075836026,0.00096526096,0.00045333023],"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":[0.000028571278,0.00014734322,0.9985662,0.00001614662,0.000020348212,0.000032934615,0.00051554554,0.000011380292,0.0000920224,0.0000079605825,0.000037547066,0.00052401517],"study_design_scores_gemma":[0.0000029810644,0.00038940003,0.9969208,0.0000135266,0.00001764228,0.0001436856,0.0022381353,0.00008141821,0.000041185143,0.000007679805,0.00013856153,0.00000491396],"about_ca_topic_score_codex":0.0018281171,"about_ca_topic_score_gemma":0.001956312,"teacher_disagreement_score":0.0022254412,"about_ca_system_score_codex":0.00026202988,"about_ca_system_score_gemma":0.00028522627,"threshold_uncertainty_score":0.011769414},"labels":[],"label_agreement":null},{"id":"W4404110692","doi":"10.2196/60697","title":"The Role of Machine Learning in the Detection of Cardiac Fibrosis in Electrocardiograms: Scoping Review","year":2024,"lang":"en","type":"review","venue":"JMIR Cardio","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Faculty of Medicine, University of British Columbia","keywords":"Preprint; Medicine; Field (mathematics); Artificial intelligence; Computer science; Cardiology; World Wide Web","score_opus":0.018200952905386446,"score_gpt":0.34180335031500686,"score_spread":0.32360239740962043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404110692","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00020793414,0.9981806,0.00042116802,0.00056422834,0.00014166048,0.00009554043,0.00009413361,0.000007850481,0.00028686973],"genre_scores_gemma":[0.0030298438,0.9948598,0.0011534801,0.0004188769,0.00016461604,0.00019833735,0.000102413425,0.0000062588815,0.000066363325],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9862367,0.004943894,0.005521628,0.0008205297,0.0022537576,0.00022348414],"domain_scores_gemma":[0.8079696,0.17094624,0.010401292,0.0015532689,0.00869072,0.0004387838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022579748,0.0014559028,0.0053447387,0.02321225,0.00078576733,0.0045891954,0.002718387,0.0033696666,0.0038608979],"category_scores_gemma":[0.12424499,0.0011166581,0.0063277856,0.015791666,0.0018569159,0.005110055,0.002263385,0.0023676304,0.0007034356],"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":[0.00009470562,0.000025574114,0.00091235427,0.7277889,0.0027936469,0.00016823426,0.0004552931,0.00046453913,0.00016768755,0.0014007026,0.004085678,0.26164266],"study_design_scores_gemma":[0.000020575328,0.000056408375,0.0011163789,0.9637677,0.0060336576,0.0002350674,0.00020347093,0.00019036792,0.00012700833,0.0009709434,0.027252536,0.00002583433],"about_ca_topic_score_codex":0.0076493514,"about_ca_topic_score_gemma":0.012890228,"teacher_disagreement_score":0.02321225,"about_ca_system_score_codex":0.0037176586,"about_ca_system_score_gemma":0.014018113,"threshold_uncertainty_score":0.11941451},"labels":[],"label_agreement":null},{"id":"W4404183742","doi":"10.2196/54746","title":"Comparison of Auscultation Quality Using Contemporary Digital Stethoscopes","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Teva Pharmaceutical Industries","keywords":"Stethoscope; Auscultation; Quality (philosophy); Medicine; Acoustics; Internal medicine; Radiology; Physics","score_opus":0.13634790226968285,"score_gpt":0.4731659117271953,"score_spread":0.33681800945751245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404183742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864253,0.003052374,0.0076637734,0.00014721863,0.00009114297,0.00004690099,0.0003535709,0.00015852229,0.002061311],"genre_scores_gemma":[0.99487174,0.00085139746,0.0033599613,0.0000783895,0.00006750081,0.000018012555,0.00026202624,0.000031936037,0.00045914974],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983652,0.0004584554,0.00026665753,0.00021532975,0.0005943466,0.00009997198],"domain_scores_gemma":[0.98758787,0.0071693948,0.0011012374,0.0005048274,0.003178952,0.00045771804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002252142,0.00035301296,0.0004729128,0.0013995343,0.00018652967,0.001000008,0.00034621696,0.0009907207,0.0017565264],"category_scores_gemma":[0.016451618,0.00017332684,0.00036092743,0.0006624641,0.00041498017,0.00080313935,0.00062216975,0.00041022256,0.00031637566],"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":[0.02789416,0.00067330763,0.37428772,0.002262734,0.0011680649,0.0011169658,0.0032498958,0.0023919414,0.20548865,0.0007343108,0.0013978761,0.37933442],"study_design_scores_gemma":[0.00033772783,0.0071246023,0.94379365,0.00015518849,0.0006519308,0.0025627736,0.0012028852,0.0073889196,0.033823375,0.00025032385,0.0026172632,0.000091358255],"about_ca_topic_score_codex":0.00086351816,"about_ca_topic_score_gemma":0.0010545292,"teacher_disagreement_score":0.002252142,"about_ca_system_score_codex":0.0002812905,"about_ca_system_score_gemma":0.00017038957,"threshold_uncertainty_score":0.011910617},"labels":[],"label_agreement":null},{"id":"W4404659884","doi":"10.2196/50627","title":"Application of Dragonnet and Conformal Inference for Estimating Individualized Treatment Effects for Personalized Stroke Prevention: Retrospective Cohort Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Inference; Retrospective cohort study; Cohort; Medicine; Computer science; Internal medicine; Artificial intelligence; World Wide Web","score_opus":0.014774507570894385,"score_gpt":0.3394825423357343,"score_spread":0.32470803476483995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404659884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7413518,0.0014654852,0.25024325,0.0006054219,0.00022749901,0.00091971265,0.003543915,0.00019205261,0.0014508712],"genre_scores_gemma":[0.94727564,0.00032777124,0.04934122,0.00011948264,0.000057518533,0.00051610864,0.0016946744,0.000017472774,0.0006501545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9827424,0.012217025,0.0010684126,0.002702263,0.0008816637,0.00038817312],"domain_scores_gemma":[0.9298661,0.046751983,0.0072584874,0.013046949,0.0022113314,0.00086525537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.039018657,0.0009422344,0.0012311976,0.0026143268,0.00095808314,0.0013207531,0.0021220725,0.0013106632,0.0023373733],"category_scores_gemma":[0.08286382,0.0007379312,0.0029116895,0.0023060697,0.0008358486,0.0010130024,0.0016819966,0.0018452597,0.0002423816],"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":[0.0009866994,0.0002169797,0.91552085,0.00014999046,0.003811646,0.00046869423,0.00028218262,0.036638502,0.00018306178,0.0067282114,0.0012221718,0.03379104],"study_design_scores_gemma":[0.00062587974,0.0012285485,0.243546,0.00020312841,0.0044562276,0.0011396443,0.0004701275,0.7212336,0.0010097142,0.020094132,0.005824618,0.00016844978],"about_ca_topic_score_codex":0.015910745,"about_ca_topic_score_gemma":0.009873514,"teacher_disagreement_score":0.039018657,"about_ca_system_score_codex":0.00095819274,"about_ca_system_score_gemma":0.0016336816,"threshold_uncertainty_score":0.20635289},"labels":[],"label_agreement":null},{"id":"W4404706710","doi":"10.2196/65981","title":"Efficacy of Unsupervised YouTube Dance Exercise for Patients With Hypertension: Randomized Controlled Trial","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiovascular and exercise physiology","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dance; Randomized controlled trial; Preprint; Blood pressure; Medicine; Physical therapy; Computer science; Art; Visual arts; Internal medicine; World Wide Web","score_opus":0.00963298572949265,"score_gpt":0.25184071321342966,"score_spread":0.242207727483937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404706710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97210073,0.009490401,0.0005052379,0.0011772686,0.0014707685,0.011216057,0.0016162602,0.00014332366,0.0022799878],"genre_scores_gemma":[0.9660379,0.004816104,0.0017473552,0.0016167022,0.001225525,0.01988791,0.001159163,0.000016946786,0.0034922098],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99916434,0.00037073635,0.00009855008,0.00017112221,0.00007298506,0.00012231115],"domain_scores_gemma":[0.99884343,0.00032742752,0.00028998818,0.00007870553,0.00011565124,0.00034489483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013847755,0.0011041752,0.003860498,0.0005351298,0.000794079,0.000887366,0.0010127318,0.0024755427,0.008563511],"category_scores_gemma":[0.0023441738,0.00064385583,0.002298956,0.0006377912,0.0008612633,0.0009613896,0.00057305186,0.0018926833,0.0006605715],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.97598016,0.008032343,0.0009806651,0.0017352459,0.001567646,0.000032918364,0.00004077035,0.00009209267,0.0003847385,0.000041614097,0.0006224106,0.010489368],"study_design_scores_gemma":[0.98209804,0.015025674,0.0017698754,0.00006658731,0.0005780488,0.0000067080605,0.000019872428,0.0001624009,0.000059845454,0.00003582031,0.00017084679,0.0000063680764],"about_ca_topic_score_codex":0.0031067168,"about_ca_topic_score_gemma":0.006212413,"teacher_disagreement_score":0.008563511,"about_ca_system_score_codex":0.00088923564,"about_ca_system_score_gemma":0.0015185009,"threshold_uncertainty_score":0.02864784},"labels":[],"label_agreement":null},{"id":"W4405034568","doi":"10.2196/56763","title":"Association Between Video-Based Telemedicine Visits and Medication Adherence Among Patients With Heart Failure: Retrospective Cross-Sectional Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; National Center for Advancing Translational Sciences; American Heart Association","keywords":"Medicine; Telemedicine; Poisson regression; Heart failure; Cross-sectional study; Logistic regression; Retrospective cohort study; Coronavirus disease 2019 (COVID-19); Pandemic; Emergency medicine; Internal medicine; Health care; Population","score_opus":0.010157983182964151,"score_gpt":0.2892106645060783,"score_spread":0.27905268132311417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405034568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99852186,0.000296712,0.00010070886,0.00002526062,0.000006202744,0.000027971868,0.000689862,0.000003222379,0.00032818073],"genre_scores_gemma":[0.99906725,0.00014483632,0.00011970731,0.000045110828,0.000015909167,0.000032212578,0.0004891525,0.0000012758206,0.00008451096],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990357,0.00029573214,0.00016321713,0.00020011993,0.00020946385,0.0000958073],"domain_scores_gemma":[0.99606895,0.000823131,0.0021747502,0.00021770835,0.000384635,0.000330855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011400757,0.0002079057,0.00036735553,0.0010047384,0.00034825297,0.0005100498,0.0003564237,0.0005174976,0.0012335705],"category_scores_gemma":[0.002884993,0.0003596595,0.0004167024,0.0017236868,0.00020100415,0.0005324698,0.00037111237,0.0005923937,0.0001861599],"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":[0.00003162296,0.000035596553,0.99942565,0.000009037951,0.000026663636,0.00001543426,0.00003229942,0.000010101234,0.000031054584,0.0000027140654,0.000038194186,0.00034161803],"study_design_scores_gemma":[0.0000054317493,0.00014514026,0.9993457,0.0000076561955,0.000026588401,0.00012518809,0.00012910667,0.00011393461,0.000016360063,0.000003330821,0.00007937445,0.0000021339342],"about_ca_topic_score_codex":0.0060727056,"about_ca_topic_score_gemma":0.0061670127,"teacher_disagreement_score":0.0060727056,"about_ca_system_score_codex":0.00027951723,"about_ca_system_score_gemma":0.00028964318,"threshold_uncertainty_score":0.012074709},"labels":[],"label_agreement":null},{"id":"W4405185713","doi":"10.2196/55846","title":"MARIA (Medical Assistance and Rehabilitation Intelligent Agent) for Medication Adherence in Patients With Heart Failure: Empirical Results From a Wizard of Oz Systematic Conversational Agent Design Clinical Protocol","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Preprint; Protocol (science); Medication adherence; Medicine; Computer science; Psychology; World Wide Web; Alternative medicine; Internal medicine","score_opus":0.08008450309967992,"score_gpt":0.4475013434839293,"score_spread":0.3674168403842494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405185713","genre_codex":"empirical","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"protocol","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6599895,0.0010849579,0.03388934,0.00061961514,0.00014326053,0.2988452,0.0018287558,0.00030319073,0.0032961632],"genre_scores_gemma":[0.30834642,0.0011125469,0.0894977,0.00045556598,0.0000539695,0.5982227,0.00083882234,0.000047441146,0.0014248907],"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9508352,0.038710076,0.005936378,0.0014491888,0.001929231,0.0011399443],"domain_scores_gemma":[0.90771544,0.07292708,0.0046550143,0.004140834,0.008127289,0.0024343238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05110565,0.0013683464,0.0013078774,0.0014965514,0.0017285075,0.0017233554,0.0020806696,0.0020764007,0.0055424194],"category_scores_gemma":[0.10370795,0.0008252469,0.0014470795,0.0010194737,0.0017586924,0.0014277806,0.0025106932,0.0015837153,0.00085529167],"study_design_candidate":"nonrandomized_trial","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":[0.06257888,0.091467634,0.020450791,0.039757345,0.0010788467,0.0015826828,0.06555379,0.015915222,0.008874509,0.0052006417,0.009002259,0.6785375],"study_design_scores_gemma":[0.21060811,0.47669962,0.08528812,0.015104354,0.00518083,0.0011159639,0.05818973,0.033461176,0.025299825,0.010105417,0.07789316,0.0010537326],"about_ca_topic_score_codex":0.00248372,"about_ca_topic_score_gemma":0.0033554924,"teacher_disagreement_score":0.05110565,"about_ca_system_score_codex":0.0037788353,"about_ca_system_score_gemma":0.010197819,"threshold_uncertainty_score":0.2702757},"labels":[],"label_agreement":null},{"id":"W4405224300","doi":"10.2196/68825","title":"Correction: Cloud-Based Machine Learning Platform to Predict Clinical Outcomes at Home for Patients With Cardiovascular Conditions Discharged From Hospital: Clinical Trial","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Medicine; Clinical trial; Computer science; Internal medicine; Operating system","score_opus":0.13511681623837307,"score_gpt":0.4812911539682763,"score_spread":0.34617433772990325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405224300","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00033001605,0.0012855007,0.0009009545,0.13154079,0.859499,0.00008433264,0.004264358,0.0007452067,0.001349839],"genre_scores_gemma":[0.029827558,0.009754244,0.0073366477,0.31921232,0.5365135,0.0009882236,0.005659026,0.0022636717,0.08844475],"study_design_codex":"not_applicable","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99083203,0.001777288,0.0020177376,0.0012326686,0.0031393848,0.0010007677],"domain_scores_gemma":[0.9319193,0.022900408,0.0035435928,0.0032892283,0.03546978,0.0028777313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0087164715,0.0028587407,0.0036703236,0.0029289662,0.0029008042,0.004879067,0.0045280578,0.01358385,0.062134974],"category_scores_gemma":[0.15479079,0.0013834381,0.0039042928,0.0024204692,0.0033458332,0.0025186075,0.0021392177,0.013171795,0.02426337],"study_design_candidate":"randomized_trial","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":[0.00016587152,0.000010467518,0.00018673427,0.0005118654,0.000077084325,0.00033260422,0.000048194037,0.00006694137,0.000058608053,0.0006065182,0.9935901,0.004344914],"study_design_scores_gemma":[0.0012742499,0.00020066934,0.0045812554,0.0036296526,0.00073825615,0.0023188016,0.00037911403,0.0018405607,0.0010961996,0.00634876,0.9773132,0.00027934273],"about_ca_topic_score_codex":0.021004843,"about_ca_topic_score_gemma":0.020688187,"teacher_disagreement_score":0.062134974,"about_ca_system_score_codex":0.0047003864,"about_ca_system_score_gemma":0.010150902,"threshold_uncertainty_score":0.2078622},"labels":[],"label_agreement":null},{"id":"W4405280925","doi":"10.2196/56848","title":"The Effect of Inhaled Beta-2 Agonists on Heart Rate in Patients With Asthma: Sensor-Based Observational Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Pharmacological Effects and Assays","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Asthma; Observational study; BETA (programming language); Medicine; Heart rate; Internal medicine; Cardiology; Computer science","score_opus":0.023485417425888496,"score_gpt":0.27793215738796323,"score_spread":0.25444673996207473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405280925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997827,0.00059738144,0.000120993864,0.00003548241,0.000013832692,0.000051858773,0.0009074938,0.0000028840298,0.00044306662],"genre_scores_gemma":[0.9983188,0.00021290904,0.00010721708,0.00006518549,0.000024403354,0.00005355496,0.0011480533,0.0000017549147,0.000068045396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828017,0.00053899176,0.00029930996,0.0003421247,0.00039578154,0.00014362377],"domain_scores_gemma":[0.99637127,0.0008386945,0.0016282088,0.00029285005,0.0003907306,0.00047829276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015495473,0.0003006029,0.00084092945,0.0006839386,0.0004348172,0.0007867212,0.00047110702,0.00084536785,0.0011841774],"category_scores_gemma":[0.0032704573,0.00033720667,0.0009907462,0.0013751888,0.00024393375,0.00069522817,0.0005752471,0.0010075254,0.00033543838],"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":[0.0003675182,0.00017214441,0.9983663,0.00004433934,0.00016964246,0.00003406781,0.00005690819,0.000021689355,0.00009024503,0.000006933055,0.00007514117,0.0005950812],"study_design_scores_gemma":[0.000052586554,0.0006824548,0.99859554,0.000014528346,0.00009466005,0.00012041901,0.00013692451,0.00010988111,0.000019956504,0.0000074929367,0.00015968483,0.000005877416],"about_ca_topic_score_codex":0.0027362213,"about_ca_topic_score_gemma":0.002995579,"teacher_disagreement_score":0.0027362213,"about_ca_system_score_codex":0.0003762955,"about_ca_system_score_gemma":0.0003909654,"threshold_uncertainty_score":0.008194864},"labels":[],"label_agreement":null},{"id":"W4405597144","doi":"10.2196/53696","title":"Metaphor Diffusion in Online Health Communities: Infodemiology Study in a Stroke Online Health Community","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Metaphor; Novelty; Stroke (engine); Promotion (chess); Psychology; Medicine; Social psychology; Linguistics; Political science; Engineering","score_opus":0.2283180174651282,"score_gpt":0.5082743420660802,"score_spread":0.27995632460095204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405597144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99922764,0.000058569654,0.00005714532,0.00013248222,0.0000040512846,0.000054398028,0.00002812892,0.0000017511534,0.00043585416],"genre_scores_gemma":[0.9986627,0.00013630454,0.0001995757,0.0001731845,0.000013916567,0.00011794163,0.00006136309,0.0000069065736,0.0006281303],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99755496,0.0012135848,0.00013827451,0.00025951062,0.0003296849,0.0005040128],"domain_scores_gemma":[0.98996466,0.0045804903,0.0019319882,0.00047919858,0.0011575596,0.0018860336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040572677,0.00040733034,0.0008183098,0.003318951,0.0066377413,0.00435369,0.0009027923,0.001723019,0.0039149146],"category_scores_gemma":[0.015155988,0.0006645407,0.00048814717,0.0023358047,0.0033509505,0.0049557462,0.0044951076,0.002666971,0.00062968384],"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":[0.0002024633,0.0030429405,0.1061917,0.00021504311,0.000023655475,0.0013339508,0.8776237,0.000029156034,0.00051064434,0.00080315175,0.0008179816,0.0092056375],"study_design_scores_gemma":[0.00006560915,0.0009433511,0.14006117,0.00013566362,0.000031513675,0.0008132648,0.8528273,0.0004892643,0.0001773917,0.00062682055,0.0037659318,0.00006274204],"about_ca_topic_score_codex":0.01868025,"about_ca_topic_score_gemma":0.030237516,"teacher_disagreement_score":0.01868025,"about_ca_system_score_codex":0.0025356673,"about_ca_system_score_gemma":0.002887992,"threshold_uncertainty_score":0.03714305},"labels":[],"label_agreement":null},{"id":"W4405722383","doi":"10.2196/62719","title":"Wearable Electrocardiogram Technology: Help or Hindrance to the Modern Doctor?","year":2024,"lang":"en","type":"review","venue":"JMIR Cardio","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Wearable computer; Wearable technology; Engineering; Medicine; Computer science; Embedded system; World Wide Web","score_opus":0.04009322017810013,"score_gpt":0.383007446001644,"score_spread":0.34291422582354386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405722383","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005420439,0.9174175,0.0009180502,0.06658368,0.011605596,0.000008605571,0.00003648719,0.000037267455,0.002850759],"genre_scores_gemma":[0.007909756,0.9303126,0.0011945339,0.03547931,0.022731848,0.000020844367,0.000060228558,0.000022209122,0.0022687088],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99811375,0.0007170774,0.00026493813,0.00025016232,0.00052680145,0.00012730007],"domain_scores_gemma":[0.9902602,0.0064336197,0.0009640572,0.00027089493,0.0014371071,0.00063409196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002591179,0.0007537313,0.0011575277,0.0007393626,0.0006361042,0.00286401,0.0010746528,0.0042724963,0.00680975],"category_scores_gemma":[0.009297355,0.00028596335,0.00051219173,0.0012113658,0.003043539,0.005032502,0.0018332807,0.0046634846,0.0040164213],"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":[0.00016635674,0.000049484323,0.0018172575,0.01296501,0.00008200787,0.0005913854,0.0009973964,0.00016250479,0.0010299991,0.013085708,0.16010359,0.80894935],"study_design_scores_gemma":[0.00003268283,0.00015343186,0.0031947985,0.0136896465,0.000073264775,0.004831085,0.0020764994,0.00016718463,0.00030598807,0.011710503,0.9637016,0.000063378175],"about_ca_topic_score_codex":0.0007253177,"about_ca_topic_score_gemma":0.0010432429,"teacher_disagreement_score":0.00680975,"about_ca_system_score_codex":0.00069853384,"about_ca_system_score_gemma":0.0012152554,"threshold_uncertainty_score":0.022780836},"labels":[],"label_agreement":null},{"id":"W4405834607","doi":"10.2196/67774","title":"Efficiency Improvement of the Clinical Pathway in Cardiac Monitor Insertion and Follow-Up: Retrospective Analysis","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiovascular Syncope and Autonomic Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Medicine; Computer science; World Wide Web","score_opus":0.010892517484918216,"score_gpt":0.28740664784641134,"score_spread":0.27651413036149314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405834607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99722135,0.0009908449,0.00034029683,0.000049076632,0.0000065942945,0.00007162638,0.00092403655,0.000007494852,0.000388676],"genre_scores_gemma":[0.998329,0.0003247632,0.00025692378,0.000026527756,0.000007676731,0.000062934865,0.00092533685,0.0000054695006,0.00006130901],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99253535,0.0021499991,0.002038922,0.0009731657,0.0016173283,0.00068532844],"domain_scores_gemma":[0.9670287,0.007042391,0.019758325,0.00140322,0.0035455667,0.0012219029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055101546,0.00028379567,0.0005061192,0.0024217074,0.00037021557,0.0010096562,0.0007997097,0.0004917525,0.0010006636],"category_scores_gemma":[0.018851332,0.0003108386,0.0011220761,0.0037161328,0.00034415166,0.0011142254,0.00094759825,0.00057641283,0.00025070875],"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":[0.00014521532,0.000030689345,0.99807054,0.00003882198,0.000055318153,0.00003137532,0.000076573546,0.000053903917,0.000026408525,0.000008836533,0.00007019971,0.0013921015],"study_design_scores_gemma":[0.000008962467,0.00020719138,0.99850595,0.00003694637,0.00007578185,0.00018345253,0.00033651636,0.00028276013,0.000089499335,0.000008909291,0.000256649,0.0000074419463],"about_ca_topic_score_codex":0.0041833324,"about_ca_topic_score_gemma":0.003013207,"teacher_disagreement_score":0.0055101546,"about_ca_system_score_codex":0.0012837572,"about_ca_system_score_gemma":0.0013234843,"threshold_uncertainty_score":0.02914083},"labels":[],"label_agreement":null},{"id":"W4405928287","doi":"10.2196/55958","title":"The Role of Clinician-Developed Applications in Promoting Adherence to Evidence-Based Guidelines: Pilot Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Psychology","score_opus":0.2563467256388869,"score_gpt":0.5401299460133869,"score_spread":0.28378322037450004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405928287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922131,0.00018412078,0.0005755712,0.00021773411,0.00004441676,0.0050546015,0.00015134057,0.000051678075,0.0015073819],"genre_scores_gemma":[0.97760606,0.00044347302,0.010136113,0.0004325267,0.00008816668,0.010164713,0.00016874624,0.000026322194,0.00093370624],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.97891676,0.013853703,0.0020735161,0.001368963,0.0027344504,0.0010526096],"domain_scores_gemma":[0.85366905,0.10564534,0.010609835,0.0075201713,0.015778003,0.0067775813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.030609734,0.00067743467,0.0010074702,0.0013726444,0.0010019018,0.0023866815,0.0010017395,0.0018461496,0.0046968786],"category_scores_gemma":[0.12200277,0.0008189658,0.0014177934,0.00078754284,0.0011743758,0.0025417202,0.0019282546,0.00215182,0.0011475573],"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":[0.0436289,0.34644458,0.1768766,0.0065955496,0.0010981685,0.00087433186,0.04064443,0.0012735437,0.003551647,0.000639687,0.005162089,0.37321037],"study_design_scores_gemma":[0.032473207,0.58322114,0.33596817,0.0021943348,0.0019592748,0.00090581254,0.014979853,0.008306656,0.004504841,0.00087651884,0.014209835,0.00040035255],"about_ca_topic_score_codex":0.0014859628,"about_ca_topic_score_gemma":0.0017550463,"teacher_disagreement_score":0.030609734,"about_ca_system_score_codex":0.0014539278,"about_ca_system_score_gemma":0.004154555,"threshold_uncertainty_score":0.16188174},"labels":[],"label_agreement":null},{"id":"W4406529820","doi":"10.2196/66428","title":"Electronic Clinical Decision Support System for Stroke Risk Screening in Patients With Atrial Fibrillation in Mental Health Care: Mixed Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Wellcome Trust","keywords":"Preprint; Atrial fibrillation; Stroke (engine); Medicine; Clinical decision support system; Medical emergency; Health care; Decision support system; Cardiology; Computer science; Engineering; Political science; Data mining; World Wide Web","score_opus":0.03675185351958878,"score_gpt":0.506145741727555,"score_spread":0.46939388820796624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406529820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98439056,0.0038533602,0.0016796768,0.0005703988,0.000052163694,0.0072628087,0.0009281176,0.000012042757,0.0012508015],"genre_scores_gemma":[0.9764731,0.002956876,0.006195745,0.0013340167,0.00009691363,0.011865866,0.0005420867,0.00001300027,0.0005223466],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9711403,0.018524665,0.0054111327,0.0013940019,0.0023303519,0.0011995406],"domain_scores_gemma":[0.9607332,0.026713032,0.006649728,0.0013248794,0.0034708083,0.0011083663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023753392,0.00061560975,0.0014463589,0.0024790426,0.0017528548,0.0026540488,0.0011031459,0.001129295,0.0042603523],"category_scores_gemma":[0.046007473,0.00076145754,0.0029189554,0.0033117158,0.00090462563,0.0028102922,0.002108899,0.0013418543,0.00047343783],"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":[0.00908219,0.025408853,0.6487856,0.01933865,0.004652545,0.001178554,0.10491372,0.00065245095,0.0005918929,0.0017662857,0.0030226593,0.18060665],"study_design_scores_gemma":[0.008843732,0.06643416,0.6002585,0.023167867,0.0071925577,0.0025934502,0.25007024,0.010915507,0.0023096143,0.0032288185,0.024335498,0.00065003446],"about_ca_topic_score_codex":0.0052720383,"about_ca_topic_score_gemma":0.009173016,"teacher_disagreement_score":0.023753392,"about_ca_system_score_codex":0.0035882692,"about_ca_system_score_gemma":0.0055409684,"threshold_uncertainty_score":0.12562144},"labels":[],"label_agreement":null},{"id":"W4406618184","doi":"10.2196/64893","title":"Estimating Trends in Cardiovascular Disease Risk for the EXPOSE (Explaining Population Trends in Cardiovascular Risk: A Comparative Analysis of Health Transitions in South Africa and England) Study: Repeated Cross-Sectional Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council","keywords":"Medicine; Psychosocial; Environmental health; Population; Health Survey for England; Pooling; Disease; Socioeconomic status; Demography; Gerontology","score_opus":0.044377365849859275,"score_gpt":0.36104701223037067,"score_spread":0.31666964638051137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406618184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93470716,0.0016250411,0.00509115,0.00079870166,0.00008693711,0.0012400611,0.05507513,0.000056002275,0.0013198343],"genre_scores_gemma":[0.9473382,0.00076738663,0.007737292,0.0003482816,0.000060826304,0.0036920267,0.03902758,0.000038374157,0.0009899399],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9948369,0.0027113133,0.0007619357,0.00083062804,0.0004952448,0.0003639864],"domain_scores_gemma":[0.99090976,0.0018918569,0.0028284884,0.0019731892,0.0019088973,0.0004878167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008217295,0.00048290868,0.0008851869,0.0014426743,0.0005776987,0.000796325,0.0011406624,0.0005571372,0.0017584907],"category_scores_gemma":[0.021408763,0.0007444059,0.001694217,0.0025253019,0.00036765527,0.0009933941,0.0024480403,0.00084230234,0.00038789024],"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":[0.0005636194,0.00011518133,0.97844553,0.0006702188,0.0017077129,0.00019912218,0.0018200504,0.00057378894,0.00031959958,0.00044035775,0.0061329193,0.009011876],"study_design_scores_gemma":[0.00009949707,0.00017807745,0.9916232,0.00026403667,0.0004031423,0.00018579833,0.0013251482,0.00057034806,0.00015467005,0.00010435978,0.0050671957,0.000024529694],"about_ca_topic_score_codex":0.061715778,"about_ca_topic_score_gemma":0.062801525,"teacher_disagreement_score":0.061715778,"about_ca_system_score_codex":0.0013673693,"about_ca_system_score_gemma":0.0018458368,"threshold_uncertainty_score":0.12271309},"labels":[],"label_agreement":null},{"id":"W4407136607","doi":"10.2196/66464","title":"Exploring Stakeholder Perspectives on the Barriers and Facilitators of Implementing Digital Technologies for Heart Disease Diagnosis: Qualitative Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Qualitative research; Digital health; Resource (disambiguation); Workload; Health technology; Health care; Stakeholder; Medicine; eHealth; Rigour; Nursing; Psychology; Public relations; Computer science; Sociology","score_opus":0.21045227135537992,"score_gpt":0.47685242561965824,"score_spread":0.2664001542642783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407136607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98442334,0.00068564503,0.0049321014,0.0038559649,0.000059655802,0.0005251699,0.00016198849,0.00002063766,0.005335584],"genre_scores_gemma":[0.9939892,0.00087317056,0.0018344738,0.0010663148,0.000014701788,0.0006612128,0.000055845645,0.000020316542,0.0014846858],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.97838837,0.016900405,0.00062795915,0.0007070813,0.0011786374,0.0021975297],"domain_scores_gemma":[0.95194995,0.039741646,0.0019553122,0.00058285444,0.0032466208,0.00252359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03124933,0.0006195749,0.0008235858,0.0022295392,0.009117836,0.003994446,0.0020720756,0.0023234887,0.0034181073],"category_scores_gemma":[0.03403038,0.0009109041,0.00053279323,0.0022489105,0.007825801,0.004742514,0.0072298474,0.0025897447,0.00040824214],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024502744,0.000030405557,0.0017888158,0.00014243237,0.000002995914,0.00059629895,0.9936086,0.00003885242,0.00057841896,0.0008305972,0.00021746801,0.0021405462],"study_design_scores_gemma":[0.0000036456256,0.000032879885,0.0005613128,0.00018176685,0.0000025908862,0.00014097922,0.995799,0.000091580456,0.00019780494,0.00022659337,0.0027538226,0.000007976901],"about_ca_topic_score_codex":0.00956219,"about_ca_topic_score_gemma":0.009656603,"teacher_disagreement_score":0.03124933,"about_ca_system_score_codex":0.006307397,"about_ca_system_score_gemma":0.008274423,"threshold_uncertainty_score":0.16526425},"labels":[],"label_agreement":null},{"id":"W4407385710","doi":"10.2196/67110","title":"Wrist-Worn and Arm-Worn Wearables for Monitoring Heart Rate During Sedentary and Light-to-Vigorous Physical Activities: Device Validation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Wearable computer; Smartwatch; Wrist; Physical activity; Germanide; Wearable technology; Physical medicine and rehabilitation; Computer science; Medicine; Embedded system; Physics; World Wide Web","score_opus":0.009814652555449242,"score_gpt":0.2691898206581014,"score_spread":0.25937516810265215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407385710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842641,0.0004389109,0.013645819,0.00002300652,0.00005284583,0.0005585415,0.00032455055,0.000056135923,0.0006361091],"genre_scores_gemma":[0.97998077,0.0004379713,0.015926754,0.00013768728,0.000061319646,0.0010301371,0.001182181,0.00003531023,0.0012078743],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972282,0.0011287316,0.00027261206,0.0004916947,0.00075078633,0.00012795383],"domain_scores_gemma":[0.99458575,0.0019354039,0.00084300456,0.00086077367,0.0015558277,0.00021922437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040597036,0.00101013,0.0007115595,0.00056140864,0.00031732692,0.0006425005,0.0006475179,0.0006768694,0.0011788686],"category_scores_gemma":[0.00656684,0.00031489934,0.0008518249,0.00044979967,0.00045653235,0.00048637504,0.0008312002,0.0003935028,0.00055020215],"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":[0.014444975,0.010189607,0.63165325,0.0021300565,0.0021517433,0.0008093565,0.0036417015,0.0036749216,0.15569338,0.0005879387,0.0017600496,0.17326307],"study_design_scores_gemma":[0.0010146061,0.052205075,0.8840558,0.00032965068,0.0014123296,0.0029769717,0.0012652588,0.015099304,0.0356071,0.0002559803,0.005642023,0.00013600016],"about_ca_topic_score_codex":0.0007974523,"about_ca_topic_score_gemma":0.0011496865,"teacher_disagreement_score":0.0040597036,"about_ca_system_score_codex":0.00020602097,"about_ca_system_score_gemma":0.00038738546,"threshold_uncertainty_score":0.02147001},"labels":[],"label_agreement":null},{"id":"W4407421485","doi":"10.2196/59380","title":"Predicting Atrial Fibrillation Relapse Using Bayesian Networks: Explainable AI Approach","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universidade do Porto","keywords":"Atrial fibrillation; Receiver operating characteristic; Bayesian network; Medicine; Internal medicine; Machine learning; Artificial intelligence; Computer science","score_opus":0.034360202252202106,"score_gpt":0.3261178055606266,"score_spread":0.2917576033084245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407421485","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27488118,0.0008928042,0.71724784,0.0017807863,0.00007147268,0.00032367973,0.0012045146,0.0005137672,0.0030839324],"genre_scores_gemma":[0.92981464,0.00047576113,0.066933595,0.00017686997,0.00009227915,0.00034968296,0.0009838061,0.000024177138,0.0011490498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893695,0.00059307175,0.00006137637,0.00020647053,0.00012680975,0.00007536632],"domain_scores_gemma":[0.9923712,0.006473445,0.00054069323,0.000125249,0.00040562186,0.00008371342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031867113,0.0011722724,0.00089882954,0.0021428464,0.000557912,0.0012207766,0.0011613027,0.0010462238,0.0016370463],"category_scores_gemma":[0.011244969,0.0005169161,0.0011981421,0.00084430806,0.00045017028,0.00096533593,0.0007270032,0.0014157973,0.00023897628],"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":[0.000105792315,0.0001068893,0.015796402,0.000040620158,0.00014944412,0.00008373978,0.00008373531,0.953881,0.0002538886,0.0024134566,0.00040204276,0.026682971],"study_design_scores_gemma":[0.0000057032703,0.000016224021,0.0010351675,0.000007986606,0.000016880258,0.0000135123855,0.000007254488,0.99611545,0.000053947835,0.0026323125,0.00008949759,0.000005978966],"about_ca_topic_score_codex":0.016561655,"about_ca_topic_score_gemma":0.012938431,"teacher_disagreement_score":0.016561655,"about_ca_system_score_codex":0.0012518574,"about_ca_system_score_gemma":0.0010290385,"threshold_uncertainty_score":0.032930493},"labels":[],"label_agreement":null},{"id":"W4407872939","doi":"10.2196/68066","title":"Machine Learning Model for Predicting Coronary Heart Disease Risk: Development and Validation Using Insights From a Japanese Population–Based Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Medicine; Computer science; World Wide Web","score_opus":0.13656240661843277,"score_gpt":0.45044719276044654,"score_spread":0.31388478614201376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407872939","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97135735,0.00035127575,0.027147943,0.00013742439,0.00002518806,0.00018780571,0.0002760239,0.000058068526,0.00045888807],"genre_scores_gemma":[0.9848252,0.00016977315,0.013976644,0.000035159715,0.00001747621,0.00020415781,0.00059418724,0.000008975125,0.0001685058],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99816316,0.0012244914,0.00013001799,0.00023496516,0.00016735704,0.00007999176],"domain_scores_gemma":[0.9937184,0.004153053,0.0002879922,0.00043430782,0.0012449365,0.000161333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011888677,0.00089384714,0.001007235,0.0015976796,0.00056853227,0.00070338737,0.0009968617,0.0006275552,0.0008059922],"category_scores_gemma":[0.015603249,0.00024015603,0.0012487562,0.0009314775,0.00038982488,0.00057991786,0.0006884299,0.00071523414,0.00020328251],"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":[0.0008400028,0.0010759785,0.8261211,0.00015958103,0.00096824166,0.00055989344,0.0010842566,0.09361785,0.0009563107,0.00079341454,0.0016474917,0.072175875],"study_design_scores_gemma":[0.0001418357,0.0006478442,0.17522748,0.000056731493,0.00049492257,0.00022118416,0.0005209257,0.8208814,0.00040498452,0.0007475966,0.00061578193,0.000039227598],"about_ca_topic_score_codex":0.018853227,"about_ca_topic_score_gemma":0.008476483,"teacher_disagreement_score":0.018853227,"about_ca_system_score_codex":0.00066139165,"about_ca_system_score_gemma":0.001305197,"threshold_uncertainty_score":0.06287414},"labels":[],"label_agreement":null},{"id":"W4408288395","doi":"10.2196/57749","title":"Co-Occurring Diseases and Mortality in Patients With Chronic Heart Disease, Modeling Their Dynamically Expanding Disease Portfolios: Nationwide Register Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Register (sociolinguistics); Disease; Medicine; Portfolio; Intensive care medicine; Computer science; Internal medicine; Business; World Wide Web","score_opus":0.01944929887210062,"score_gpt":0.32589597495154393,"score_spread":0.3064466760794433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408288395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988403,0.00040803905,0.007911568,0.0003511686,0.000024241679,0.000112124144,0.0023951295,0.000040548886,0.0003541477],"genre_scores_gemma":[0.99279857,0.00018246917,0.003962343,0.000042950447,0.000016875985,0.00015084152,0.0024372777,0.000007638617,0.00040102488],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963302,0.0021221365,0.00032665257,0.0006330387,0.00019182524,0.00039617612],"domain_scores_gemma":[0.9826323,0.0109002665,0.0029098925,0.0021779875,0.0007379186,0.0006416791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0125620905,0.0006586277,0.0013404877,0.0018877679,0.0009122986,0.0015330863,0.0018661213,0.0011385477,0.0021824753],"category_scores_gemma":[0.02118673,0.0009128872,0.0039534033,0.0025851585,0.00067561585,0.0011145661,0.0021774047,0.0018181265,0.00028489987],"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":[0.00053580734,0.00030122756,0.93396986,0.000078096324,0.0015830108,0.0003213969,0.00030916368,0.05458694,0.00014376266,0.0018435892,0.000698163,0.005628936],"study_design_scores_gemma":[0.00020552624,0.0004337679,0.28959337,0.000117677526,0.0015913578,0.00030029524,0.0006734866,0.7025735,0.00016048909,0.0025502127,0.0017200923,0.00008025139],"about_ca_topic_score_codex":0.0849477,"about_ca_topic_score_gemma":0.05657124,"teacher_disagreement_score":0.0849477,"about_ca_system_score_codex":0.0012604479,"about_ca_system_score_gemma":0.0027339307,"threshold_uncertainty_score":0.16890651},"labels":[],"label_agreement":null},{"id":"W4408514261","doi":"10.2196/66557","title":"Novel Virtual Reality Intervention for Stress Reduction Among Patients With or at Risk for Cardiovascular Disease: Mixed Methods Pilot Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Stress reduction; Intervention (counseling); Disease; Medicine; Virtual reality; Reduction (mathematics); Stress (linguistics); Gerontology; Psychology; Physical therapy; Computer science; Internal medicine; Human–computer interaction; World Wide Web; Psychiatry; Mathematics","score_opus":0.0425891269150437,"score_gpt":0.40189554648148096,"score_spread":0.3593064195664373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408514261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947084,0.00059846014,0.0008337967,0.00010624117,0.000045031316,0.0031380046,0.00010878986,0.000011481358,0.00044975712],"genre_scores_gemma":[0.9803931,0.0012176642,0.0067207757,0.0003759657,0.0001298889,0.010507032,0.00012278999,0.0000049567398,0.00052788534],"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99824107,0.0011374481,0.00015365746,0.00017831106,0.00011718519,0.00017230726],"domain_scores_gemma":[0.9987815,0.0005781172,0.00013997337,0.00013453742,0.0001416347,0.00022416435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025802488,0.0007541505,0.001390995,0.0006035656,0.0008605463,0.0007444545,0.0006387831,0.0008206602,0.003963326],"category_scores_gemma":[0.0026260691,0.00038568818,0.0014214836,0.000373021,0.00046633522,0.00051439536,0.0008080455,0.00059323275,0.0003097603],"study_design_candidate":"nonrandomized_trial","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":[0.07593324,0.38539082,0.052500527,0.0075848494,0.002361313,0.0013586092,0.017522018,0.0012494203,0.013744031,0.0007327504,0.0019159744,0.4397065],"study_design_scores_gemma":[0.057058778,0.81221324,0.11031815,0.0005649311,0.0015138213,0.00044120048,0.00987151,0.0019951612,0.0017378719,0.0003846223,0.0037606186,0.00014008096],"about_ca_topic_score_codex":0.0008098053,"about_ca_topic_score_gemma":0.0016963611,"teacher_disagreement_score":0.003963326,"about_ca_system_score_codex":0.00045913408,"about_ca_system_score_gemma":0.0014486202,"threshold_uncertainty_score":0.013645828},"labels":[],"label_agreement":null},{"id":"W4408527702","doi":"10.2196/56053","title":"Optimization of the Care4Today Digital Health Platform to Enhance Self-Reporting of Medication Adherence and Health Experiences in Patients With Coronary or Peripheral Artery Disease: Mixed Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Digital health; Likert scale; Medicine; Focus group; Coronary artery disease; The Internet; Disease; Analytics; Qualitative property; Qualitative research; Medical education; Health care; Family medicine; Psychology; World Wide Web; Computer science; Data science; Internal medicine","score_opus":0.037364985784092426,"score_gpt":0.46220669360664757,"score_spread":0.42484170782255515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408527702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989935,0.0009073109,0.0014900047,0.00042107128,0.000038802136,0.0053264177,0.00047960115,0.000013018349,0.0013888272],"genre_scores_gemma":[0.96426356,0.0013981165,0.0121201705,0.0018079155,0.00009736314,0.018415892,0.00040477468,0.000018526485,0.0014736439],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9887059,0.0074486793,0.001123923,0.00090882706,0.0009940052,0.00081855775],"domain_scores_gemma":[0.98447603,0.009770885,0.001986017,0.0008082403,0.0020573249,0.0009014526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017016148,0.0005536911,0.0010419998,0.0011958082,0.0018810807,0.0023370096,0.0009634606,0.0009758943,0.0035148922],"category_scores_gemma":[0.01922184,0.00054847164,0.0017832512,0.0012187226,0.00084031746,0.001606137,0.0019141703,0.0010891011,0.00046376832],"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":[0.0068629202,0.029967232,0.37122062,0.009323712,0.0015691343,0.0013936692,0.26901135,0.00046947043,0.0034346778,0.0019648122,0.0050195972,0.2997628],"study_design_scores_gemma":[0.004118398,0.067501634,0.39879137,0.007830039,0.0027442044,0.0018384892,0.46445104,0.003963124,0.0065969974,0.0026467328,0.038950127,0.0005678407],"about_ca_topic_score_codex":0.0027017903,"about_ca_topic_score_gemma":0.0065483632,"teacher_disagreement_score":0.017016148,"about_ca_system_score_codex":0.0019399972,"about_ca_system_score_gemma":0.004546869,"threshold_uncertainty_score":0.08999103},"labels":[],"label_agreement":null},{"id":"W4408925096","doi":"10.2196/58124","title":"Acceptability of a Web-Based Health App (PortfolioDiet.app) to Translate a Nutrition Therapy for Cardiovascular Disease in High-Risk Adults: Mixed Methods Randomized Ancillary Pilot Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Izaak Walton Killam Health Centre; Dalhousie University; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Randomized controlled trial; Usability; Medicine; Disease; Physical therapy; Environmental health; Computer science; Internal medicine","score_opus":0.021165234693510174,"score_gpt":0.34834607767074954,"score_spread":0.3271808429772394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408925096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86248815,0.0006620058,0.0038874233,0.00039659505,0.00030177433,0.12808502,0.0012013768,0.00019078936,0.0027869798],"genre_scores_gemma":[0.58470327,0.0009691095,0.025289524,0.0013310916,0.00032535644,0.38454467,0.00055589376,0.000046748555,0.0022343174],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9796127,0.014039691,0.0020985806,0.0015406002,0.0017939227,0.0009143371],"domain_scores_gemma":[0.98391855,0.010008483,0.0023498335,0.001308694,0.0015210832,0.00089343195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02601161,0.0018663025,0.002880225,0.0009849411,0.0016654403,0.0019842677,0.0016211979,0.0022135917,0.009318259],"category_scores_gemma":[0.029024506,0.0012364974,0.003300381,0.0007879745,0.001275107,0.0022954228,0.0015968347,0.0022916389,0.001105652],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.3906048,0.30074045,0.018649794,0.017094264,0.0056490223,0.00041088517,0.013226691,0.001000372,0.005142878,0.0008664006,0.005864955,0.24074957],"study_design_scores_gemma":[0.292068,0.63784456,0.047921672,0.0020573207,0.0037219848,0.00013918072,0.003782776,0.002653991,0.0022411202,0.0010520094,0.0062887645,0.00022867763],"about_ca_topic_score_codex":0.001764102,"about_ca_topic_score_gemma":0.0026473112,"teacher_disagreement_score":0.02601161,"about_ca_system_score_codex":0.0014605492,"about_ca_system_score_gemma":0.0035222834,"threshold_uncertainty_score":0.13756424},"labels":[],"label_agreement":null},{"id":"W4408931634","doi":"10.2196/58837","title":"Pharmacist-Initiated Team-Based Intervention for Optimizing Guideline-Directed Lipid Therapy of Hospitalized Patients With Acute Coronary Syndrome: Pilot Study Using a Stepped-Wedge Cluster Design","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences","keywords":"Medicine; Pharmacist; Acute coronary syndrome; Guideline; Physical therapy; Clinical pharmacy; Outpatient clinic; Population; Internal medicine; Emergency medicine; Pharmacy; Family medicine; Myocardial infarction","score_opus":0.05090394036668436,"score_gpt":0.34570581558663965,"score_spread":0.29480187521995527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408931634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898307,0.0000320626,0.0008791007,0.00006949028,0.00004856397,0.008737532,0.00011253223,0.000032683383,0.00025739777],"genre_scores_gemma":[0.9753666,0.00008209149,0.009066812,0.00019212982,0.00011898185,0.014650896,0.00021755119,0.000010052261,0.00029499052],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9927262,0.004585407,0.00039867536,0.0008969276,0.00059017097,0.0008025582],"domain_scores_gemma":[0.9926563,0.0022557697,0.0010134039,0.0011747451,0.0007681222,0.0021316765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006001709,0.0013050092,0.0017637409,0.0011834376,0.0013119796,0.0008515969,0.0016706899,0.0013253638,0.0032068656],"category_scores_gemma":[0.008788126,0.00087405246,0.0015577956,0.00076311233,0.0014074878,0.0009167232,0.0018300052,0.0013265635,0.0003648034],"study_design_candidate":"nonrandomized_trial","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":[0.4956153,0.41569704,0.01931749,0.000717692,0.00086847204,0.00017818333,0.00095991476,0.003785672,0.0033036477,0.00023710255,0.00083501416,0.058484536],"study_design_scores_gemma":[0.31126606,0.65244234,0.028193912,0.000039490507,0.00034660246,0.000041870426,0.00038635707,0.005726102,0.001053474,0.00016861959,0.00028072525,0.000054484477],"about_ca_topic_score_codex":0.004728919,"about_ca_topic_score_gemma":0.0048023835,"teacher_disagreement_score":0.006001709,"about_ca_system_score_codex":0.0020319093,"about_ca_system_score_gemma":0.005251172,"threshold_uncertainty_score":0.031740487},"labels":[],"label_agreement":null},{"id":"W4409064224","doi":"10.2196/71016","title":"The rs243865 Polymorphism in Matrix Metalloproteinase-2 and its Association With Target Organ Damage in Patients With Resistant Hypertension: Cross-Sectional Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Cross-sectional study; Matrix metalloproteinase; Association (psychology); Medicine; Matrix metalloproteinase 9; Internal medicine; Pathology; Psychology; Physics","score_opus":0.004281104329454604,"score_gpt":0.22909287778256748,"score_spread":0.22481177345311287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409064224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99961686,0.00006914106,0.000041983072,0.000015249508,0.0000042245188,0.000008996439,0.00011876188,9.947845e-7,0.00012378323],"genre_scores_gemma":[0.9996413,0.00003904159,0.00006228947,0.000025488622,0.0000095873465,0.000010232977,0.00012229814,8.345315e-7,0.00008903397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964464,0.00009908451,0.00004228403,0.00011332599,0.00006006799,0.00004059883],"domain_scores_gemma":[0.9991221,0.00016997193,0.0002702911,0.000095990465,0.00011112736,0.0002305504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007009763,0.0003192511,0.00040223112,0.00043681735,0.00044829832,0.0003817014,0.0002504247,0.0004025894,0.0015651694],"category_scores_gemma":[0.0012452358,0.00040321468,0.0003849616,0.0005805848,0.00020370803,0.000291372,0.00027209468,0.00054449606,0.00029467716],"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":[0.00010501102,0.000063742664,0.99894434,0.000005549623,0.000045241755,0.00010545068,0.00009711043,0.000008324633,0.0003203161,0.000005138214,0.000039587736,0.00026025996],"study_design_scores_gemma":[0.00001962694,0.00027301346,0.99870336,0.00000332769,0.000039328916,0.00054057693,0.0001648687,0.00010339077,0.000047178368,0.0000068470754,0.0000962067,0.0000023599061],"about_ca_topic_score_codex":0.0027337798,"about_ca_topic_score_gemma":0.003056587,"teacher_disagreement_score":0.0027337798,"about_ca_system_score_codex":0.00016846422,"about_ca_system_score_gemma":0.00020077833,"threshold_uncertainty_score":0.005435705},"labels":[],"label_agreement":null},{"id":"W4409155722","doi":"10.2196/66215","title":"Patient and Clinician Perspectives on Alert-Based Remote Monitoring–First Care for Cardiovascular Implantable Electronic Devices: Semistructured Interview Study Within the Veterans Health Administration","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac pacing and defibrillation studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Department of Veterans Affairs","keywords":"Medicine; Thematic analysis; Family medicine; Medical emergency; Qualitative research","score_opus":0.02514370619624072,"score_gpt":0.34533243752966475,"score_spread":0.320188731333424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409155722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945311,0.00039162135,0.0014824651,0.001677591,0.000042839394,0.0002618274,0.00013938942,0.000012737583,0.0014605441],"genre_scores_gemma":[0.99493563,0.00062629953,0.0020650262,0.00086274225,0.000020118374,0.00061321486,0.00010491479,0.00001617343,0.00075584446],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9814476,0.014580952,0.0007982113,0.00076881814,0.0006499899,0.0017544939],"domain_scores_gemma":[0.96340865,0.026752563,0.0031594476,0.00056451786,0.0029639038,0.0031510221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017006502,0.0005914862,0.00069703197,0.0014943058,0.007425009,0.0039584464,0.00163662,0.0017245805,0.0019247395],"category_scores_gemma":[0.03410707,0.0009678353,0.00051510875,0.0014995486,0.0058702477,0.0037113833,0.0054391874,0.0033575373,0.00036537173],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002266108,0.000032854845,0.003046969,0.00008053965,0.0000028299362,0.0003214221,0.9945511,0.000026197516,0.0004092146,0.0002632837,0.00023640155,0.0010064528],"study_design_scores_gemma":[0.000004164428,0.000042195108,0.0010849071,0.00007039446,0.000001734509,0.00009869664,0.99666554,0.00007587163,0.000105404964,0.000103677026,0.0017390061,0.000008407154],"about_ca_topic_score_codex":0.010005765,"about_ca_topic_score_gemma":0.018670287,"teacher_disagreement_score":0.017006502,"about_ca_system_score_codex":0.006837859,"about_ca_system_score_gemma":0.008167663,"threshold_uncertainty_score":0.08994007},"labels":[],"label_agreement":null},{"id":"W4409198993","doi":"10.2196/66436","title":"Augmenting Engagement in Decentralized Clinical Trials for Atrial Fibrillation: Development and Implementation of a Programmatic Architecture","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute","keywords":"Augment; Preprint; Diversity (politics); Atrial fibrillation; Medicine; Psychology; Political science; Computer science; World Wide Web; Internal medicine","score_opus":0.30246281150506205,"score_gpt":0.5758440889203196,"score_spread":0.27338127741525753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409198993","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23034272,0.0007040305,0.68110245,0.019528747,0.0004079091,0.045683984,0.0003434402,0.0066389223,0.015247752],"genre_scores_gemma":[0.2757264,0.00032044377,0.7008528,0.0014809781,0.00014735002,0.019471984,0.00026794054,0.00013874091,0.0015933589],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.94046897,0.048449963,0.002492748,0.003402268,0.0034360557,0.0017500668],"domain_scores_gemma":[0.9190154,0.041037425,0.008867186,0.012018246,0.008016821,0.011044918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09216615,0.0007279883,0.0003784028,0.0017116333,0.0018314891,0.003212426,0.0032079967,0.0012725203,0.0033293955],"category_scores_gemma":[0.09888019,0.00079556584,0.0010660148,0.0009770665,0.002454223,0.0046439045,0.009506775,0.0021298686,0.0008136681],"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":[0.0016117666,0.011546697,0.070753805,0.0021871268,0.0004656972,0.00033938274,0.013076992,0.015226676,0.01097352,0.025684869,0.007106485,0.84102696],"study_design_scores_gemma":[0.013696861,0.051453985,0.15853529,0.005513927,0.0020441413,0.0015691317,0.013955934,0.29115447,0.0366931,0.14707436,0.27746156,0.00084717677],"about_ca_topic_score_codex":0.0021255547,"about_ca_topic_score_gemma":0.0041468423,"teacher_disagreement_score":0.09216615,"about_ca_system_score_codex":0.0033996515,"about_ca_system_score_gemma":0.026103128,"threshold_uncertainty_score":0.487427},"labels":[],"label_agreement":null},{"id":"W4409353981","doi":"10.2196/67956","title":"A Web-Based Tool to Perform a Values Clarification for Stroke Prevention in Patients With Atrial Fibrillation: Design and Preliminary Testing Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality","keywords":"Atrial fibrillation; Medicine; Stroke (engine); Heart failure; Diabetes mellitus; Physical therapy; Internal medicine","score_opus":0.049322893799881674,"score_gpt":0.3322742806523549,"score_spread":0.28295138685247323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409353981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887687,0.000049796414,0.0007185528,0.00013552551,0.00003715074,0.009056774,0.0003266777,0.000047393245,0.0008593745],"genre_scores_gemma":[0.95295995,0.00019364993,0.009774425,0.000548932,0.000092723756,0.034273524,0.00065612374,0.000029979805,0.0014707368],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99010974,0.007186623,0.0007283645,0.00059780246,0.00069090666,0.00068648485],"domain_scores_gemma":[0.9712261,0.02055427,0.0017442356,0.00179238,0.002695637,0.0019873972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01568745,0.0010678661,0.0012608777,0.0010201047,0.0009496767,0.0012334096,0.00091652723,0.0013732257,0.0071040327],"category_scores_gemma":[0.029257387,0.0008693554,0.0016351063,0.0007138205,0.0011243,0.0020227355,0.001312867,0.0016787698,0.0015922195],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.13398561,0.5360419,0.17474623,0.002067326,0.0009418976,0.0004927656,0.008334901,0.0016228223,0.0027759138,0.0005047455,0.0033252502,0.13516057],"study_design_scores_gemma":[0.07025714,0.75253767,0.16266765,0.00022745178,0.0006838116,0.00019524811,0.0029583839,0.0051806597,0.0015549912,0.0004636225,0.0031254748,0.00014798071],"about_ca_topic_score_codex":0.00166173,"about_ca_topic_score_gemma":0.0018118083,"teacher_disagreement_score":0.01568745,"about_ca_system_score_codex":0.0010614314,"about_ca_system_score_gemma":0.002480722,"threshold_uncertainty_score":0.08296418},"labels":[],"label_agreement":null},{"id":"W4409428158","doi":"10.2196/66308","title":"Gender Differences in X (Formerly Twitter) Use, Influence, and Engagement Among Cardiologists From the Top U.S. News Best Hospitals","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Psychology; Computer science; World Wide Web","score_opus":0.11421123221285456,"score_gpt":0.38312912973969804,"score_spread":0.2689178975268435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409428158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99104977,0.00042038364,0.000033849316,0.0017433709,0.000053670825,0.000007975159,0.00085662823,0.0000061636188,0.0058283447],"genre_scores_gemma":[0.9961068,0.00047139745,0.000034505116,0.0005897612,0.00008706726,0.00001185514,0.0003931297,0.000008469433,0.0022969686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99947315,0.00015005583,0.000047571833,0.00006372606,0.00010757461,0.00015793665],"domain_scores_gemma":[0.9956579,0.0012778422,0.0014157576,0.00010229052,0.00040702077,0.0011392157],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00061824924,0.00013517696,0.00016755397,0.00074108515,0.0008402522,0.0016954715,0.00024675764,0.0005906775,0.008834043],"category_scores_gemma":[0.0060767788,0.00014707807,0.00024102403,0.00079608714,0.0003062019,0.00096167595,0.0009094419,0.0007565957,0.0010208709],"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":[0.00019104469,0.00012708623,0.96966076,0.000050476072,0.00005890359,0.00011054541,0.010867334,0.000021337395,0.00024194481,0.00020291655,0.0050339666,0.013433715],"study_design_scores_gemma":[0.0000073965693,0.00006035727,0.97902197,0.000061919614,0.00002079938,0.0000844641,0.018203396,0.00008535386,0.000061525294,0.00008182085,0.0023015155,0.000009514861],"about_ca_topic_score_codex":0.024205418,"about_ca_topic_score_gemma":0.057119157,"teacher_disagreement_score":0.99925894,"about_ca_system_score_codex":0.00042962396,"about_ca_system_score_gemma":0.0005336211,"threshold_uncertainty_score":0.048129022},"labels":[],"label_agreement":null},{"id":"W4409533071","doi":"10.2196/64438","title":"Telehealth Support From Cardiologists to Primary Care Physicians in Heart Failure Treatment: Mixed Methods Feasibility Study of the Brazilian Heart Insufficiency With Telemedicine Trial","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Telehealth; Telemedicine; Medicine; Heart failure; Primary care; Emergency medicine; Medical emergency; Randomized controlled trial; Intensive care medicine; Physical therapy; Cardiology; Internal medicine; Family medicine; Health care","score_opus":0.02206881337169308,"score_gpt":0.36240730222526296,"score_spread":0.3403384888535699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409533071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9669834,0.001873612,0.0018284286,0.0011464417,0.00016668391,0.025266845,0.00073539163,0.000021669974,0.0019774835],"genre_scores_gemma":[0.9354896,0.0008663484,0.0041548274,0.0010561991,0.00016779512,0.05736399,0.0004974444,0.000010439518,0.0003933366],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.92805463,0.06257188,0.0036703355,0.0022043395,0.0016691294,0.0018296744],"domain_scores_gemma":[0.9479886,0.034224395,0.008895163,0.0039545037,0.002692376,0.0022450227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05658076,0.0013043382,0.0025884975,0.0010747158,0.001637992,0.0019380049,0.0012376369,0.0023575323,0.0032255214],"category_scores_gemma":[0.06941051,0.0011178448,0.0036716175,0.0017390745,0.0015171834,0.0021593722,0.0024646888,0.0014849891,0.0004170205],"study_design_candidate":"nonrandomized_trial","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":[0.38932925,0.1601749,0.20159405,0.012025917,0.020454098,0.00077461294,0.041460246,0.0024048795,0.0018488093,0.0029553005,0.004913846,0.16206409],"study_design_scores_gemma":[0.38286173,0.2985759,0.26352683,0.0032799542,0.010963006,0.00027202748,0.019788256,0.0067587057,0.0011705582,0.0029640582,0.0093615195,0.00047748184],"about_ca_topic_score_codex":0.0058365595,"about_ca_topic_score_gemma":0.0066462546,"teacher_disagreement_score":0.05658076,"about_ca_system_score_codex":0.0025174555,"about_ca_system_score_gemma":0.0056894477,"threshold_uncertainty_score":0.2992313},"labels":[],"label_agreement":null},{"id":"W4409566466","doi":"10.2196/54771","title":"Toward Ambulatory Baroreflex Sensitivity: Comparison Between Indices of Arterial Line and Photoplethysmography in Male Volunteers","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Photoplethysmogram; Baroreflex; Preprint; Ambulatory; Medicine; Sensitivity (control systems); Compliance (psychology); Cardiology; Internal medicine; Anesthesia; Blood pressure; Psychology; Heart rate; Engineering; Computer science; Telecommunications","score_opus":0.02191504663800065,"score_gpt":0.3061891363613953,"score_spread":0.28427408972339463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409566466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986368,0.00015833873,0.00059268804,0.000010326774,0.000011714832,0.000030790445,0.00014163415,0.000009621372,0.000408207],"genre_scores_gemma":[0.9992731,0.00004100136,0.0003210666,0.000022012284,0.000022386002,0.000023488468,0.0001491503,0.0000037452137,0.00014399357],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99957985,0.00011081963,0.000029520197,0.00013639759,0.00010505308,0.000038268157],"domain_scores_gemma":[0.9992143,0.0002204625,0.00017799264,0.00007350016,0.000157464,0.00015629987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006261927,0.00034320983,0.0003043245,0.0004195807,0.00020579383,0.00040737793,0.00018004207,0.00039590604,0.0010526543],"category_scores_gemma":[0.0015870875,0.00013874802,0.00017869865,0.00023891384,0.00024974108,0.00027508158,0.0003142087,0.00026043213,0.00043294812],"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":[0.005925126,0.00066522683,0.91069543,0.000118770484,0.00019803435,0.00043240574,0.00092989614,0.00016322908,0.059335865,0.000054132764,0.00027849234,0.021203412],"study_design_scores_gemma":[0.000028011169,0.0016318831,0.99606067,0.0000043807604,0.000035106445,0.00038338633,0.00017053485,0.0002618555,0.0012802782,0.00001452423,0.00012424223,0.0000051427814],"about_ca_topic_score_codex":0.0005175558,"about_ca_topic_score_gemma":0.0006904947,"teacher_disagreement_score":0.0010526543,"about_ca_system_score_codex":0.00007414868,"about_ca_system_score_gemma":0.00008247899,"threshold_uncertainty_score":0.0035214424},"labels":[],"label_agreement":null},{"id":"W4409736408","doi":"10.2196/64877","title":"Evaluation of a Virtual Home Health Heart Failure Program: Mixed Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Computer science; World Wide Web","score_opus":0.04466927387402704,"score_gpt":0.454385215738888,"score_spread":0.409715941864861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409736408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9809029,0.00028135904,0.0013141473,0.00011158214,0.000043773063,0.016010096,0.00041775903,0.000019140625,0.0008993418],"genre_scores_gemma":[0.9247179,0.00072409876,0.009539041,0.0007546646,0.00013696034,0.062244337,0.0007137952,0.00002019275,0.0011490526],"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.981016,0.014204041,0.0012488182,0.00096969074,0.0016128753,0.00094852457],"domain_scores_gemma":[0.9845574,0.0077555976,0.0024409043,0.001387382,0.002486188,0.0013725471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020578418,0.0015040167,0.0019371371,0.001674079,0.0021776108,0.0019938613,0.0017043581,0.0017008511,0.0035305242],"category_scores_gemma":[0.017701792,0.00085676886,0.0024817514,0.0013857834,0.0012793709,0.0018824027,0.0018873456,0.0014147237,0.00059253204],"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":[0.050060574,0.3921995,0.23681234,0.0061881742,0.0031162708,0.0012031388,0.04511028,0.0025039376,0.0029077101,0.0013766432,0.0029534127,0.25556806],"study_design_scores_gemma":[0.04720159,0.5917925,0.26488838,0.0020165395,0.0021168834,0.0006125399,0.07006876,0.0077914866,0.0031825707,0.0016351924,0.008258212,0.00043526664],"about_ca_topic_score_codex":0.0043744356,"about_ca_topic_score_gemma":0.0064178873,"teacher_disagreement_score":0.020578418,"about_ca_system_score_codex":0.0037704937,"about_ca_system_score_gemma":0.0062110443,"threshold_uncertainty_score":0.10883033},"labels":[],"label_agreement":null},{"id":"W4409989432","doi":"10.2196/67758","title":"Barriers and Enablers to Routine Clinical Implementation of Cardiac Implantable Electronic Device Remote Monitoring in Australia Among Cardiologists, Cardiac Physiologists, Nurses, and Patients: Interview Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac pacing and defibrillation studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Stakeholder; Business; Medicine; Computer science; Public relations; World Wide Web; Political science","score_opus":0.03770799925576493,"score_gpt":0.41253226337493604,"score_spread":0.37482426411917114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409989432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974809,0.00021298935,0.0006287778,0.00082182174,0.000007821029,0.00016502818,0.000022175698,0.000003967498,0.0006565319],"genre_scores_gemma":[0.99701154,0.0005205108,0.0011899793,0.00039778388,0.000008320349,0.0003989605,0.000022141601,0.0000042612173,0.00044656833],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9869626,0.008816185,0.00081743946,0.0006694009,0.0009719153,0.0017623316],"domain_scores_gemma":[0.9774079,0.015074192,0.0024510252,0.00035255583,0.002388607,0.0023257462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013654569,0.0003348444,0.00055707456,0.0010478362,0.0039874916,0.0020957612,0.00097583566,0.0014206162,0.0010553217],"category_scores_gemma":[0.024860065,0.00081101427,0.00041819448,0.0009900169,0.0030821827,0.0023201515,0.004859017,0.0021229237,0.00014202404],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003288523,0.00006792962,0.009790938,0.00018220166,0.0000055686696,0.00039853854,0.98497075,0.00003720824,0.0005367707,0.00024617466,0.00015252117,0.003578382],"study_design_scores_gemma":[0.00000860573,0.00017518234,0.01287359,0.00025012955,0.000008452103,0.00018196668,0.98341537,0.00028431838,0.00021450019,0.00012843091,0.0024391846,0.000020235553],"about_ca_topic_score_codex":0.021747604,"about_ca_topic_score_gemma":0.028459575,"teacher_disagreement_score":0.021747604,"about_ca_system_score_codex":0.0049851825,"about_ca_system_score_gemma":0.010740152,"threshold_uncertainty_score":0.07221317},"labels":[],"label_agreement":null},{"id":"W4410199360","doi":"10.2196/64386","title":"Prerequisites for Cost-Effective Home Blood Pressure Telemonitoring: Early Health Economic Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Cost-effectiveness analysis; Cohort; Economic evaluation; Quality-adjusted life year; Cost effectiveness; Willingness to pay; Health care; Blood pressure; Emergency medicine; Cost–benefit analysis; Cost–utility analysis; Pediatrics; Internal medicine; Risk analysis (engineering)","score_opus":0.01830936074276242,"score_gpt":0.3275796506483074,"score_spread":0.309270289905545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410199360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75815743,0.01775549,0.16841917,0.005656155,0.00017668145,0.004328539,0.0051656547,0.00012512685,0.040215775],"genre_scores_gemma":[0.9774181,0.0033028922,0.016263,0.00020001526,0.0000479115,0.00076996617,0.0010283662,0.000016767384,0.0009530422],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9968971,0.0022106485,0.000096515825,0.00012512667,0.00032622277,0.00034437038],"domain_scores_gemma":[0.97295797,0.025074372,0.00081021764,0.00017358747,0.00068170746,0.0003020109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0079475865,0.0011463854,0.0016483479,0.0017776992,0.0003160796,0.0023400858,0.0008295362,0.0012240316,0.0067781373],"category_scores_gemma":[0.031161293,0.0006857962,0.0026432313,0.0013013453,0.00043992576,0.0024165749,0.0010730036,0.0023609968,0.0002213039],"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":[0.0019951765,0.0007056105,0.01676111,0.0021032076,0.0009500085,0.0005648177,0.00014510879,0.8749141,0.00042110446,0.038021643,0.002919125,0.060498968],"study_design_scores_gemma":[0.00043596711,0.00087480905,0.014546485,0.0008666195,0.0016432279,0.00031616024,0.00021797036,0.9533353,0.0006727997,0.024322093,0.0026918456,0.000076783865],"about_ca_topic_score_codex":0.006686194,"about_ca_topic_score_gemma":0.004023405,"teacher_disagreement_score":0.0079475865,"about_ca_system_score_codex":0.0048317113,"about_ca_system_score_gemma":0.004028751,"threshold_uncertainty_score":0.04203129},"labels":[],"label_agreement":null},{"id":"W4410318612","doi":"10.2196/73890","title":"Correction: Results of a Digital Multimodal Motivational and Educational Program as Follow-Up Care for Former Cardiac Rehabilitation Patients: Randomized Controlled Trial","year":2025,"lang":"en","type":"erratum","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Rehabilitation; Randomized controlled trial; Physical therapy; Physical medicine and rehabilitation; Medicine; Psychology; Internal medicine","score_opus":0.007226896553823478,"score_gpt":0.3314961495630599,"score_spread":0.3242692530092364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410318612","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005669106,0.0075990204,0.0006948892,0.1294199,0.8439336,0.0011511899,0.012225246,0.00042155702,0.00398764],"genre_scores_gemma":[0.040711425,0.0175368,0.008206896,0.46931392,0.34572333,0.011043089,0.007417325,0.0015940486,0.09845324],"study_design_codex":"not_applicable","study_design_gemma":"randomized_trial","domain_scores_codex":[0.98516846,0.0062097977,0.002963834,0.001427011,0.0032737304,0.000957165],"domain_scores_gemma":[0.9310653,0.041267164,0.0070852106,0.003025958,0.014773842,0.0027824757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021702528,0.0035935377,0.0054707536,0.002604441,0.0021554232,0.0046014404,0.0042620376,0.012285037,0.084704086],"category_scores_gemma":[0.18339166,0.0019914876,0.0048652813,0.0028564471,0.0022377018,0.0021484431,0.0013433326,0.012466227,0.017085414],"study_design_candidate":"randomized_trial","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":[0.002627859,0.00003262165,0.00013106092,0.0033182933,0.0004543203,0.000135581,0.00002442657,0.000039608858,0.000028681714,0.00042288852,0.98813826,0.004646438],"study_design_scores_gemma":[0.12883197,0.0010812961,0.0073183076,0.031478945,0.011821168,0.0007655658,0.0002808831,0.0014062738,0.0009475706,0.0067754225,0.8088953,0.00039733658],"about_ca_topic_score_codex":0.021017872,"about_ca_topic_score_gemma":0.024668463,"teacher_disagreement_score":0.084704086,"about_ca_system_score_codex":0.007871887,"about_ca_system_score_gemma":0.010964193,"threshold_uncertainty_score":0.2833634},"labels":[],"label_agreement":null},{"id":"W4410357561","doi":"10.2196/71366","title":"Health Care Professionals’ Use of Digital Technology in the Secondary Prevention of Cardiovascular Disease in Austria: Online Survey Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Health professionals; Medicine; Health care; Digital health; Disease; Computer science; World Wide Web; Internal medicine; Political science","score_opus":0.05104409253855109,"score_gpt":0.4045706394328457,"score_spread":0.35352654689429464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410357561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992549,0.000115581985,0.00009282049,0.00009681165,0.0000029999276,0.000045437846,0.000102103324,0.0000016813198,0.0002876568],"genre_scores_gemma":[0.9988356,0.00028293574,0.00031563072,0.00019362709,0.000006782914,0.000121331665,0.00013332794,0.0000016788041,0.000109030174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967526,0.0013611543,0.00056044635,0.0003087879,0.00048572762,0.00053127593],"domain_scores_gemma":[0.9940597,0.0025629553,0.0018245901,0.00015670489,0.00066647964,0.0007296645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049532144,0.00019759286,0.00040038963,0.0023698683,0.00051060016,0.00096919585,0.00029200438,0.0008665117,0.0012615493],"category_scores_gemma":[0.008888066,0.00041322192,0.00041313845,0.0017420613,0.0004907914,0.0010880475,0.0012823982,0.0005516202,0.0003337694],"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":[0.00005264975,0.00039053708,0.97323054,0.00018867731,0.000031938074,0.00022578143,0.016241806,0.000047142305,0.0003348424,0.00006444068,0.00040893155,0.008782708],"study_design_scores_gemma":[0.00002023995,0.00039411846,0.96510535,0.00017080839,0.000028755057,0.0004626317,0.03158187,0.00048467898,0.00016964345,0.00003913251,0.0015272577,0.000015464364],"about_ca_topic_score_codex":0.00313933,"about_ca_topic_score_gemma":0.003585304,"teacher_disagreement_score":0.0049532144,"about_ca_system_score_codex":0.0010703115,"about_ca_system_score_gemma":0.0010190707,"threshold_uncertainty_score":0.026195467},"labels":[],"label_agreement":null},{"id":"W4410387025","doi":"10.2196/68663","title":"Patient Perspectives on the “Future Patient” Telerehabilitation Program for Atrial Fibrillation: Qualitative Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Region Midtjylland; Snedkermester Sophus Jacobsen og Hustru Astrid Jacobsens Fond; Aage og Johanne Louis-Hansens Fond; Hjerteforeningen","keywords":"Telerehabilitation; Preprint; Atrial fibrillation; Medicine; Qualitative research; Physical therapy; Telemedicine; Physical medicine and rehabilitation; Health care; Computer science; Internal medicine; Political science; World Wide Web","score_opus":0.03370210375067525,"score_gpt":0.3980810475591285,"score_spread":0.36437894380845326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410387025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839624,0.00085307687,0.0029560095,0.0048654187,0.00012224172,0.0006660562,0.0003286042,0.000029161858,0.0062171603],"genre_scores_gemma":[0.992339,0.0009850846,0.0015871745,0.0018259041,0.00003123009,0.0009875604,0.00011810383,0.000027721971,0.0020982344],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9837481,0.013112912,0.00040894657,0.00053372304,0.00067420607,0.0015220784],"domain_scores_gemma":[0.971639,0.022520041,0.0014614487,0.0004475467,0.0015087174,0.0024233921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015817493,0.00059499376,0.00089187984,0.0013542855,0.007961272,0.0035645508,0.0023417417,0.0022287278,0.0042980816],"category_scores_gemma":[0.021425191,0.00062422693,0.00062616373,0.0017377331,0.0063940925,0.003931359,0.0056052264,0.0037205138,0.00047150574],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003260969,0.000061772414,0.0013300264,0.0001969191,0.000004123362,0.00034753367,0.9935855,0.000024726753,0.0003466345,0.000519984,0.00046807888,0.003082042],"study_design_scores_gemma":[0.000006816444,0.00005735548,0.00072241435,0.00017345427,0.0000033262986,0.00014438872,0.99456453,0.00005415124,0.00014285727,0.00013722526,0.003983658,0.000009839954],"about_ca_topic_score_codex":0.004668425,"about_ca_topic_score_gemma":0.0072614886,"teacher_disagreement_score":0.015817493,"about_ca_system_score_codex":0.0048878356,"about_ca_system_score_gemma":0.0058674267,"threshold_uncertainty_score":0.0836519},"labels":[],"label_agreement":null},{"id":"W4411774566","doi":"10.2196/60196","title":"English- and Spanish-Speaking Patient Preferences on Home Blood Pressure Monitors in an Urban Safety Net Setting: Qualitative Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Safety net; Qualitative research; Medicine; Medical emergency; Psychology; Sociology; Computer science; Environmental health; World Wide Web; Social science","score_opus":0.024409287816059843,"score_gpt":0.31961676601261885,"score_spread":0.295207478196559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411774566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973036,0.00023137988,0.000354875,0.00065375475,0.000019833602,0.000092539274,0.00007230994,0.0000052578234,0.0012663357],"genre_scores_gemma":[0.9972972,0.0003797291,0.00032994253,0.00073549437,0.000011483182,0.00016971666,0.000049026807,0.000008938429,0.0010183834],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9955852,0.0030687316,0.0001169972,0.00020577224,0.00025107368,0.0007722154],"domain_scores_gemma":[0.9916889,0.005387714,0.00058686535,0.00013313715,0.00082685944,0.0013766061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007193587,0.00044000166,0.0007370822,0.00087620335,0.004670453,0.0023000194,0.0012323762,0.00084589,0.0036483607],"category_scores_gemma":[0.008686191,0.0004516799,0.00037383486,0.0008596969,0.0031189288,0.0020396002,0.003056554,0.0013699764,0.0002992615],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060386672,0.00012832045,0.00978657,0.00022575345,0.0000085794645,0.0010483094,0.9835633,0.000023755512,0.00057884585,0.00028183893,0.0005366407,0.003757577],"study_design_scores_gemma":[0.000005636292,0.00007502653,0.0023518128,0.00009433564,0.0000036175584,0.0001140383,0.9954277,0.00004126843,0.000082706785,0.000051096602,0.0017454377,0.000007287445],"about_ca_topic_score_codex":0.00926656,"about_ca_topic_score_gemma":0.015635384,"teacher_disagreement_score":0.00926656,"about_ca_system_score_codex":0.0038986206,"about_ca_system_score_gemma":0.004421144,"threshold_uncertainty_score":0.038043737},"labels":[],"label_agreement":null},{"id":"W4412108432","doi":"10.2196/68817","title":"Improving the Readability of Institutional Heart Failure–Related Patient Education Materials Using GPT-4: Observational Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Readability; Heart failure; Medicine; Index (typography); Internal medicine; Observational study; Cardiology; Computer science","score_opus":0.15937855955975352,"score_gpt":0.4338020316219883,"score_spread":0.27442347206223483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412108432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99858034,0.00014947608,0.000088478664,0.000052142106,0.0000059229824,0.00008446124,0.0005826108,0.0000101874975,0.0004462676],"genre_scores_gemma":[0.99856746,0.00011373357,0.00016573042,0.000107008906,0.000014763885,0.00008425484,0.0007246765,0.000007044634,0.0002153138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972427,0.0008801453,0.0005571107,0.00037949422,0.0006525961,0.00028790007],"domain_scores_gemma":[0.9828987,0.004312372,0.0077580945,0.0010592206,0.002630994,0.0013406415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00449094,0.00038363138,0.0007409556,0.0014112977,0.0006995862,0.0011798032,0.00081765535,0.0008430459,0.0028430356],"category_scores_gemma":[0.021249648,0.000468007,0.0014527709,0.0018593426,0.0004302779,0.0018795595,0.001304147,0.0016299356,0.0008220816],"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":[0.0003862693,0.0010840265,0.99288505,0.00009120726,0.00014277894,0.00004514049,0.00063962507,0.000054978926,0.000053418567,0.0000138475525,0.0007012544,0.0039023801],"study_design_scores_gemma":[0.000069820606,0.0011325591,0.9966266,0.000057540976,0.0001245789,0.00008785657,0.0008136901,0.0004830013,0.00009429941,0.00002381633,0.0004693134,0.000016975893],"about_ca_topic_score_codex":0.008608725,"about_ca_topic_score_gemma":0.008072844,"teacher_disagreement_score":0.008608725,"about_ca_system_score_codex":0.0010217368,"about_ca_system_score_gemma":0.0009984039,"threshold_uncertainty_score":0.023750663},"labels":[],"label_agreement":null},{"id":"W4412123218","doi":"10.2196/76850","title":"Lipid Profile and Apolipoprotein B Serum Levels in the Vietnamese Population With Newly Diagnosed Elevated Low-Density Lipoprotein Cholesterol and Association With the Single-Nucleotide Variant rs676210: Cross-Sectional Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vietnamese; Single-nucleotide polymorphism; Cross-sectional study; Apolipoprotein B; Preprint; Lipid profile; Medicine; Population; Internal medicine; Genetics; Biology; Genotype; Environmental health; Gene; Cholesterol; Pathology; Computer science","score_opus":0.01212393654430716,"score_gpt":0.2645631569127759,"score_spread":0.2524392203684687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412123218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99974734,0.000049394883,0.000027837215,0.000011357344,0.0000024842814,0.0000043333744,0.00006461813,5.564744e-7,0.000092012706],"genre_scores_gemma":[0.9997317,0.000033439068,0.000039619732,0.000018321403,0.0000032711757,0.000004099974,0.000081724436,6.5854124e-7,0.00008724346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976295,0.00005743854,0.000021904518,0.000087765344,0.000033264252,0.000036630936],"domain_scores_gemma":[0.99938226,0.000090165915,0.00018218186,0.000049310587,0.00009819945,0.00019796957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043322123,0.0002628947,0.00023654637,0.00029072462,0.0003813268,0.00044807294,0.00020811413,0.00035375616,0.0010052061],"category_scores_gemma":[0.00083186186,0.00037801845,0.00021197488,0.0004217994,0.00024427238,0.0002218022,0.00022347005,0.00042003713,0.00015818096],"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":[0.00009049029,0.000042907017,0.9988463,0.0000053604035,0.00004785373,0.00012410691,0.0001493956,0.000010901122,0.00033958984,0.0000062743798,0.000033663684,0.00030304308],"study_design_scores_gemma":[0.000010693286,0.00010496059,0.99896085,0.0000044582457,0.000023420142,0.00033309488,0.00033022766,0.0000902225,0.000049318565,0.0000092163955,0.00008108583,0.000002398776],"about_ca_topic_score_codex":0.010037892,"about_ca_topic_score_gemma":0.008718437,"teacher_disagreement_score":0.010037892,"about_ca_system_score_codex":0.00028270602,"about_ca_system_score_gemma":0.00027663488,"threshold_uncertainty_score":0.019958973},"labels":[],"label_agreement":null},{"id":"W4412441496","doi":"10.2196/73747","title":"Telecardiology Activities in Hospital and University Cardiology Facilities in Italy: Survey Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Medicine; University hospital; Internal medicine; Computer science; World Wide Web","score_opus":0.02067345016246152,"score_gpt":0.3220632577638666,"score_spread":0.30138980760140505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412441496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99808073,0.00029773434,0.00007098527,0.00008849302,0.0000048306683,0.000062884545,0.0006270103,0.0000049214323,0.0007623718],"genre_scores_gemma":[0.99883,0.0003093217,0.00011952478,0.00008520799,0.000014151228,0.00008038278,0.0004123888,0.0000028060974,0.00014617872],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979609,0.00066992344,0.00030349896,0.0003228937,0.0003203027,0.0004225793],"domain_scores_gemma":[0.9954482,0.00090179866,0.0023765767,0.00021091447,0.00034234615,0.00072019326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018624132,0.00027357845,0.0003670172,0.0021953124,0.00037368818,0.0007615337,0.00062500883,0.000772599,0.0023144896],"category_scores_gemma":[0.0042369557,0.0003440987,0.0004990848,0.0034382213,0.00047231003,0.00093939505,0.0010704487,0.0005243796,0.0005644684],"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":[0.000043550564,0.0001229432,0.9957424,0.00006768222,0.000020828562,0.00011419572,0.0011912974,0.000039719474,0.00008960881,0.000030440096,0.00033688158,0.0022004663],"study_design_scores_gemma":[0.0000052454257,0.00011610165,0.99785596,0.000016591483,0.00000737516,0.00019249038,0.0014363738,0.00010661699,0.000017050083,0.000005021418,0.00023744692,0.0000038071241],"about_ca_topic_score_codex":0.009793499,"about_ca_topic_score_gemma":0.010152738,"teacher_disagreement_score":0.009793499,"about_ca_system_score_codex":0.0012517065,"about_ca_system_score_gemma":0.0008083084,"threshold_uncertainty_score":0.019472957},"labels":[],"label_agreement":null},{"id":"W4412558843","doi":"10.2196/70007","title":"Self-Reported Acceptance of a Wearable Activity Monitor in Persons With Stroke: Usability Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Usability; Wearable computer; Wearable technology; Human–computer interaction; Computer science; Psychology; Embedded system; World Wide Web","score_opus":0.013209684683713658,"score_gpt":0.31179848745766925,"score_spread":0.2985888027739556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412558843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995121,0.000043246702,0.0001137154,0.000016730462,0.0000028172944,0.00003742162,0.00004030544,0.0000030327371,0.00023055155],"genre_scores_gemma":[0.99947757,0.00004512178,0.0002019204,0.000027523427,0.0000063150355,0.00005019274,0.00006039729,0.0000015930513,0.00012942021],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830425,0.0006432158,0.00028003842,0.00015216571,0.00048506245,0.00013523603],"domain_scores_gemma":[0.9945927,0.0016418198,0.0016447355,0.00027655275,0.0013478497,0.0004962885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029473926,0.00033715123,0.00047309406,0.00066991814,0.0003437464,0.0006445914,0.00022945617,0.0005572264,0.00096590765],"category_scores_gemma":[0.009179111,0.0002082636,0.0010280195,0.00034179242,0.00031961317,0.00057215785,0.0006605255,0.00049781194,0.00027263298],"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":[0.0005131607,0.0010820826,0.9789322,0.00013817192,0.00025457807,0.00013723271,0.004234739,0.00010476858,0.0012261631,0.000017104925,0.00017608647,0.013183704],"study_design_scores_gemma":[0.000038172453,0.00337939,0.9927477,0.00002504177,0.0000939109,0.00030420139,0.0021485721,0.0005578747,0.00034729874,0.000014465682,0.0003209032,0.000022440407],"about_ca_topic_score_codex":0.0009930596,"about_ca_topic_score_gemma":0.0013393825,"teacher_disagreement_score":0.0029473926,"about_ca_system_score_codex":0.00020158321,"about_ca_system_score_gemma":0.00021635523,"threshold_uncertainty_score":0.015587449},"labels":[],"label_agreement":null},{"id":"W4412738907","doi":"10.2196/68022","title":"Patient Preferences for Using Remote Care Technology in Heart Failure: Discrete Choice Experiment","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Computer science; Medicine; World Wide Web","score_opus":0.029094071230125747,"score_gpt":0.3890153596857506,"score_spread":0.3599212884556248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412738907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9701413,0.00008128529,0.003691588,0.0004291229,0.00012863807,0.02212226,0.0005732103,0.000032920027,0.0027996888],"genre_scores_gemma":[0.88407856,0.00019861378,0.023690945,0.0009644349,0.00011977835,0.088097595,0.00025277448,0.000010120597,0.0025869682],"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.98462623,0.010617409,0.001408339,0.00091093034,0.0011648532,0.0012722648],"domain_scores_gemma":[0.935589,0.05512096,0.003943071,0.0012982659,0.0014553483,0.0025932987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020250862,0.0011940309,0.0012820306,0.00049664103,0.0012571339,0.0024677808,0.0011792538,0.003299338,0.015040622],"category_scores_gemma":[0.03441286,0.0008282133,0.0019091353,0.00047904236,0.0016850061,0.0017109335,0.0015902035,0.0028543442,0.0012419589],"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":[0.2510204,0.49160862,0.044812914,0.006328032,0.001185726,0.0008321944,0.030210096,0.01369793,0.0275614,0.00763776,0.00410209,0.12100281],"study_design_scores_gemma":[0.09808658,0.77154994,0.055532705,0.0006336136,0.0009835735,0.00017304925,0.008102523,0.027243178,0.01667203,0.009002052,0.011420833,0.00059993565],"about_ca_topic_score_codex":0.000468181,"about_ca_topic_score_gemma":0.0005138201,"teacher_disagreement_score":0.020250862,"about_ca_system_score_codex":0.001107952,"about_ca_system_score_gemma":0.0024295696,"threshold_uncertainty_score":0.10709804},"labels":[],"label_agreement":null},{"id":"W4412982319","doi":"10.2196/72074","title":"Long-Term Feasibility and Outcomes of a Digital Health Program to Improve Liver Fat and Cardiometabolic Markers in Individuals With Nonalcoholic Fatty Liver Disease: Prospective Single-Arm Feasibility Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fatty liver; Preprint; Medicine; Alcoholic liver disease; Term (time); Disease; Gerontology; Environmental health; Internal medicine; Computer science; World Wide Web","score_opus":0.025980112962698376,"score_gpt":0.3338753107370975,"score_spread":0.3078951977743991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412982319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980806,0.00007962431,0.00018821756,0.00003075405,0.000011500402,0.0012239822,0.00012959019,0.000010480737,0.0002452356],"genre_scores_gemma":[0.9954804,0.000115141214,0.0009861987,0.0001083386,0.00004332249,0.002430563,0.00035960384,0.000006918303,0.00046944813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99771583,0.0010427724,0.00020471365,0.00032595338,0.00035364908,0.00035714632],"domain_scores_gemma":[0.9962962,0.00077481696,0.0010891921,0.00043591164,0.0004756835,0.0009281547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063329446,0.0009778817,0.0010298732,0.0007247284,0.0010827339,0.0008880321,0.00062787195,0.001341731,0.0019577416],"category_scores_gemma":[0.005234224,0.000837291,0.0013576599,0.00047682077,0.0008248397,0.0013200142,0.0011817428,0.0013843476,0.0007893129],"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":[0.2044772,0.29512942,0.42362112,0.0006713735,0.001768853,0.0003701399,0.0013551329,0.0009095768,0.007868338,0.00010225564,0.0007919149,0.06293461],"study_design_scores_gemma":[0.023364868,0.45265982,0.5197894,0.00009604994,0.0005860443,0.00017414374,0.00050434313,0.0009243197,0.0011060222,0.000086379485,0.0006497227,0.000058789177],"about_ca_topic_score_codex":0.0015651016,"about_ca_topic_score_gemma":0.0020918446,"teacher_disagreement_score":0.0063329446,"about_ca_system_score_codex":0.0006163853,"about_ca_system_score_gemma":0.0014182106,"threshold_uncertainty_score":0.033492208},"labels":[],"label_agreement":null},{"id":"W4412992862","doi":"10.2196/75417","title":"The Effect of Discharge Planning Videos and Booklets on Quality of Life Among Patients With Heart Failure: Quasi-Experimental Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Quality (philosophy); Gerontology; Psychology; Medicine; Computer science; World Wide Web; Physics","score_opus":0.010090683499868275,"score_gpt":0.30918592990496213,"score_spread":0.2990952464050939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412992862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909156,0.00010564125,0.00030717935,0.00016003662,0.000090494716,0.0077304495,0.00013105529,0.000014610929,0.0005449105],"genre_scores_gemma":[0.94246197,0.00040059956,0.006708575,0.00069056905,0.00025756613,0.046598118,0.00022178322,0.000008079408,0.0026526882],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9958591,0.0021746666,0.00032332793,0.00047851237,0.00049208006,0.000672258],"domain_scores_gemma":[0.99131256,0.0044129393,0.0011810674,0.0006060505,0.00081358064,0.0016737988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008125097,0.0011221905,0.0019464736,0.00081444695,0.002278937,0.0009732002,0.0012051648,0.0015850978,0.008666427],"category_scores_gemma":[0.008035258,0.0012797957,0.0015588106,0.00046211877,0.0015771159,0.0013459591,0.0010508733,0.0025152243,0.00085897796],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.03893737,0.8920154,0.013853219,0.001670391,0.00024369657,0.00019466651,0.009653041,0.00031301516,0.003567209,0.0003662405,0.0010916548,0.038094074],"study_design_scores_gemma":[0.05529264,0.8723064,0.058591556,0.0002756392,0.00030524423,0.00007333564,0.0068022315,0.000805889,0.0016932997,0.00044252625,0.0033089928,0.000102228514],"about_ca_topic_score_codex":0.0012778213,"about_ca_topic_score_gemma":0.0027038006,"teacher_disagreement_score":0.008666427,"about_ca_system_score_codex":0.0012295932,"about_ca_system_score_gemma":0.0039040924,"threshold_uncertainty_score":0.04297012},"labels":[],"label_agreement":null},{"id":"W4413030538","doi":"10.2196/69343","title":"Analysis of a Medically Certified, Wrist-Worn Sensor for the Assessment of Heart Rate and Energy Expenditure During Daily Activities in Patients With Chronic Heart Failure or Coronary Artery Disease and Recreational Athletes: Validation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiovascular and exercise physiology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Heart failure; Cardiology; Coronary artery disease; Internal medicine; Athletes; Energy expenditure; Physical therapy; Heart rate; Wrist; Surgery; Blood pressure","score_opus":0.009393760928472985,"score_gpt":0.2748879044396771,"score_spread":0.2654941435112041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413030538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980896,0.000055780423,0.0013644464,0.000010164495,0.000008986361,0.000095736286,0.0001245902,0.000008710876,0.00024188861],"genre_scores_gemma":[0.9979728,0.00003499854,0.0012860708,0.000035316658,0.000013549283,0.00010930625,0.00041794017,0.000005014416,0.00012503697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988655,0.00053053,0.000080409096,0.00023773429,0.00021826776,0.00006762078],"domain_scores_gemma":[0.9980071,0.0007317531,0.00033705487,0.0002984896,0.00042520819,0.00020043754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002158918,0.0007769713,0.00049339543,0.0004915269,0.00025278374,0.00042561145,0.00041290792,0.0006819486,0.0007077975],"category_scores_gemma":[0.0041401465,0.00023801193,0.0004920728,0.00025293152,0.00042791793,0.0002631013,0.00043418104,0.00031256874,0.00036333973],"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":[0.0021232422,0.0014235761,0.9670898,0.000096381555,0.00022665299,0.00016400278,0.0005816835,0.00043280693,0.011742628,0.000058809524,0.0001838591,0.015876452],"study_design_scores_gemma":[0.00026586538,0.00651392,0.98685837,0.00002107516,0.00014896481,0.00059061527,0.0002253381,0.0030802828,0.0018929101,0.000025760726,0.00036226647,0.000014688117],"about_ca_topic_score_codex":0.0008811358,"about_ca_topic_score_gemma":0.00079034787,"teacher_disagreement_score":0.002158918,"about_ca_system_score_codex":0.00018812952,"about_ca_system_score_gemma":0.00027727283,"threshold_uncertainty_score":0.011417627},"labels":[],"label_agreement":null},{"id":"W4413055005","doi":"10.2196/68197","title":"Applications of Ballistocardiogram in the Diagnosis of Coronary Heart Disease: Systematic Review","year":2025,"lang":"en","type":"review","venue":"JMIR Cardio","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; Tongji University; Huazhong University of Science and Technology; National Natural Science Foundation of China","keywords":"Ballistocardiography; Medicine; Systematic review; Cardiology; Coronary heart disease; Internal medicine; Intensive care medicine; MEDLINE; Biology","score_opus":0.01934715201584198,"score_gpt":0.3064519620648832,"score_spread":0.2871048100490412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413055005","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005350063,0.99875796,0.00009305194,0.0001309997,0.00005559645,0.00015550593,0.00015741236,0.0000043520886,0.000110168985],"genre_scores_gemma":[0.011799719,0.98657227,0.000544593,0.00035327944,0.00009434572,0.00040258435,0.00017200035,0.0000040558493,0.00005718211],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9908202,0.0034035156,0.0033283927,0.00067290093,0.0015763524,0.00019864982],"domain_scores_gemma":[0.9592658,0.031270687,0.005827553,0.0005181999,0.0028383152,0.00027935358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009630277,0.001557201,0.008212804,0.008385123,0.00061318197,0.0023429785,0.0019109779,0.0019424824,0.0036625653],"category_scores_gemma":[0.049328644,0.000983789,0.008757881,0.00932659,0.0008763791,0.0018783136,0.0013937796,0.0011843984,0.00027680583],"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":[0.0001598262,0.000014868933,0.0010865245,0.96274143,0.011394787,0.000064892076,0.00009454906,0.00008574483,0.00007967336,0.000087015585,0.0008424522,0.023348188],"study_design_scores_gemma":[0.00030346954,0.00022670411,0.00703916,0.8292434,0.14898534,0.00038068436,0.00022112014,0.00016765701,0.00017260248,0.00025470246,0.012952646,0.000052476884],"about_ca_topic_score_codex":0.009637051,"about_ca_topic_score_gemma":0.02695358,"teacher_disagreement_score":0.009637051,"about_ca_system_score_codex":0.0030764649,"about_ca_system_score_gemma":0.009726396,"threshold_uncertainty_score":0.05093038},"labels":[],"label_agreement":null},{"id":"W4413187968","doi":"10.2196/81777","title":"Effectiveness of a Telehealth Intervention on Functional Status, Anxiety, Depression, and Rehospitalization Among Older Adults Undergoing Coronary Artery Bypass Grafting: Randomized Controlled Trial","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bypass grafting; Telehealth; Randomized controlled trial; Depression (economics); Anxiety; Preprint; Medicine; Intervention (counseling); Artery; Physical therapy; Telemedicine; Internal medicine; Cardiology; Psychiatry; Health care; Computer science; World Wide Web","score_opus":0.005200218188479493,"score_gpt":0.2890695977359014,"score_spread":0.2838693795474219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413187968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9580213,0.012653172,0.0010792214,0.0014614947,0.0021238823,0.020449428,0.001395275,0.00017282458,0.002643406],"genre_scores_gemma":[0.95730346,0.0055679902,0.0027289751,0.0015531877,0.0015400281,0.02875485,0.0007314516,0.000013500197,0.0018064805],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9980952,0.000969987,0.00028005778,0.0002987472,0.00017360998,0.00018232434],"domain_scores_gemma":[0.9980983,0.0007961012,0.0004641997,0.000103392194,0.00013084715,0.00040712635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023747582,0.0013493443,0.0035590865,0.00078927417,0.0007432537,0.0010560323,0.0011705189,0.0028596637,0.009273409],"category_scores_gemma":[0.0041559697,0.0007596109,0.0035462524,0.0006845522,0.0010310237,0.0011486264,0.00067499996,0.0022736639,0.0005181469],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.96279055,0.014607035,0.0006888849,0.0030176097,0.0026643507,0.000036146874,0.000048869842,0.00020616966,0.0004856226,0.00008297761,0.00048970664,0.014882041],"study_design_scores_gemma":[0.96570575,0.03078677,0.0012868261,0.00016664172,0.0014105772,0.000009648259,0.000020317773,0.00024281077,0.0001246861,0.000053077627,0.00018454585,0.00000832797],"about_ca_topic_score_codex":0.0026535783,"about_ca_topic_score_gemma":0.0035702984,"teacher_disagreement_score":0.009273409,"about_ca_system_score_codex":0.0011228155,"about_ca_system_score_gemma":0.0019054317,"threshold_uncertainty_score":0.031022668},"labels":[],"label_agreement":null},{"id":"W4413277935","doi":"10.2196/56236","title":"Adherence Patterns of Patients Using Remote Patient Management After Myocardial Infarction: Mixed Methods Persona Approach","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Persona Design and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Leids Universitair Medisch Centrum; Technische Universiteit Delft; Universiteit Leiden","keywords":"Persona; Myocardial infarction; Medicine; Internal medicine; Cardiology; Medical emergency; Computer science; Human–computer interaction","score_opus":0.02048520315651745,"score_gpt":0.3055094806216378,"score_spread":0.2850242774651203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413277935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862375,0.00031834884,0.008359342,0.0001798455,0.00001482328,0.0036403055,0.0004342537,0.000021792779,0.0007938289],"genre_scores_gemma":[0.9683349,0.00032680656,0.019681346,0.00029823338,0.000016713613,0.010384343,0.00038477694,0.000012041441,0.00056072715],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.98333377,0.012683978,0.0012315648,0.001137536,0.0011955613,0.00041768225],"domain_scores_gemma":[0.99079585,0.005317728,0.0017480379,0.0008053088,0.001046151,0.0002868975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015664758,0.0004422054,0.00086926756,0.0025025418,0.0016862658,0.0015977443,0.001100861,0.0008282847,0.0019162546],"category_scores_gemma":[0.018244958,0.00053557503,0.0014352602,0.0021590753,0.00063571363,0.0010225504,0.0018326341,0.00067666586,0.00028420915],"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":[0.001561726,0.005781198,0.77470666,0.00162998,0.0014426274,0.0003579804,0.09916167,0.00070481346,0.0017541769,0.0011202673,0.00078940217,0.110989526],"study_design_scores_gemma":[0.00069420406,0.0120430775,0.8053439,0.0008662622,0.0010110362,0.00073416287,0.15605165,0.012339729,0.0031002627,0.0025358214,0.005065091,0.00021478721],"about_ca_topic_score_codex":0.004609003,"about_ca_topic_score_gemma":0.007310238,"teacher_disagreement_score":0.015664758,"about_ca_system_score_codex":0.0017076763,"about_ca_system_score_gemma":0.0017385482,"threshold_uncertainty_score":0.08284414},"labels":[],"label_agreement":null},{"id":"W4413316120","doi":"10.2196/64326","title":"Conversational AI Phone Calls to Support Patients With Atrial Fibrillation: Randomized Controlled Trial","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Randomized controlled trial; Medicine; Atrial fibrillation; Intervention (counseling); Phone; Quality of life (healthcare); Self-management; Physical therapy; Medical emergency; Internal medicine; Computer science; Nursing; Artificial intelligence","score_opus":0.015337178237884282,"score_gpt":0.3088201540452644,"score_spread":0.29348297580738014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413316120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9059131,0.03686757,0.0022845096,0.0043145325,0.005128792,0.035724364,0.0029963176,0.00054581615,0.006224821],"genre_scores_gemma":[0.9248294,0.010633097,0.00414026,0.0033413756,0.0020353678,0.050097723,0.0009719734,0.00003093382,0.003919831],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99803096,0.001069064,0.0002334239,0.0003107696,0.00013317428,0.00022265053],"domain_scores_gemma":[0.997638,0.00096129,0.00055678,0.00013060134,0.00017202886,0.0005413219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026820556,0.0016139445,0.004378009,0.00072941644,0.0009011753,0.0015584254,0.0014409485,0.003375961,0.012700458],"category_scores_gemma":[0.005668793,0.00072574336,0.0028282218,0.0007967444,0.0011992891,0.0016802337,0.0007633217,0.0037336994,0.0010076108],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.97848296,0.005254977,0.00028464082,0.0029397765,0.0018736672,0.000035461657,0.000054829416,0.00010466469,0.00030246677,0.00009751802,0.00073604536,0.009833014],"study_design_scores_gemma":[0.9854323,0.012810547,0.000460237,0.0001391102,0.000661969,0.000008102013,0.000020721718,0.00010655092,0.000041059808,0.000069137575,0.00024305926,0.000007192019],"about_ca_topic_score_codex":0.0019850365,"about_ca_topic_score_gemma":0.003330345,"teacher_disagreement_score":0.012700458,"about_ca_system_score_codex":0.0009485462,"about_ca_system_score_gemma":0.0018662747,"threshold_uncertainty_score":0.042487323},"labels":[],"label_agreement":null},{"id":"W4413754886","doi":"10.2196/76089","title":"mHealth Support in Cardiac Care Pathways for Patient Self-Management During Transitions From Hospital to Rehabilitation: Exploratory Field Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"mHealth; Rehabilitation; Exploratory research; Self-management; Medicine; Self care; Medical emergency; Nursing; Psychology; Health care; Computer science; Physical therapy; Psychological intervention; Artificial intelligence; Political science; Sociology","score_opus":0.008477771207697826,"score_gpt":0.3073911980233812,"score_spread":0.2989134268156834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413754886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99579644,0.00019807435,0.0006633303,0.00015423664,0.00001605493,0.0018565728,0.0001469725,0.000008806097,0.0011595063],"genre_scores_gemma":[0.990593,0.00050488807,0.0035065182,0.00035335755,0.000041298852,0.0033944894,0.00016003916,0.000007904412,0.0014385337],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99635786,0.0023705722,0.00016863486,0.00031935453,0.0002542518,0.0005291976],"domain_scores_gemma":[0.9935662,0.003657186,0.00067887816,0.00033835587,0.0007647579,0.0009945529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00612241,0.0005046885,0.0005186798,0.0012774366,0.00351383,0.0017648528,0.0011841767,0.0012142216,0.0033912351],"category_scores_gemma":[0.007964082,0.0004644344,0.0006568725,0.00071835524,0.0017890527,0.0013713196,0.0022162294,0.0011770026,0.0005502635],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005232813,0.06286635,0.118331805,0.005886929,0.00014550266,0.0063430155,0.6204847,0.00094913866,0.008289673,0.002119149,0.00526107,0.16408983],"study_design_scores_gemma":[0.001381809,0.04025532,0.16863237,0.0018607932,0.0001626976,0.0024395045,0.75697803,0.0012892816,0.0029456771,0.0011892358,0.022683417,0.00018188696],"about_ca_topic_score_codex":0.0026021441,"about_ca_topic_score_gemma":0.006158981,"teacher_disagreement_score":0.00612241,"about_ca_system_score_codex":0.0016837528,"about_ca_system_score_gemma":0.0031909507,"threshold_uncertainty_score":0.032378793},"labels":[],"label_agreement":null},{"id":"W4413859567","doi":"10.2196/71343","title":"Daily Dietary Sodium Intake Among Clinical Trial Participants Recruited From a University Health System or a Federally Qualified Health Center: Secondary Analysis of Baseline Participant Characteristics","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Sodium Intake and Health","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; U.S. Department of Veterans Affairs","keywords":"Preprint; Center (category theory); Medicine; Baseline (sea); Gerontology; Environmental health; Physical activity; Physical therapy","score_opus":0.18008062404864836,"score_gpt":0.4167260295634899,"score_spread":0.23664540551484156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413859567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898511,0.0008053815,0.0008900998,0.00010306347,0.000024998486,0.0022168648,0.0044623674,0.000025712108,0.0016203147],"genre_scores_gemma":[0.992006,0.000110618654,0.0006907237,0.00018787423,0.000047531274,0.004112499,0.002473394,0.000010335488,0.0003610715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9927933,0.003628151,0.0009888185,0.0010592778,0.0011310314,0.00039942886],"domain_scores_gemma":[0.9907884,0.0028336386,0.003677635,0.0008030824,0.0013000225,0.0005971617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009014072,0.0004068666,0.0012519701,0.0016293763,0.00069908134,0.0009578582,0.00072419125,0.00072825165,0.0029120469],"category_scores_gemma":[0.014389765,0.0003406102,0.001542197,0.002272698,0.00051595253,0.0007542094,0.0008158047,0.0007047864,0.00051697623],"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":[0.023664141,0.0015434762,0.9597026,0.00077060517,0.0019121806,0.00007609608,0.00044152373,0.00014954849,0.0011142291,0.00009383931,0.0015377557,0.00899399],"study_design_scores_gemma":[0.0037215252,0.008797823,0.9842605,0.000089880006,0.0008313052,0.0001097962,0.00022779263,0.00051767816,0.00036902705,0.00010785579,0.000943285,0.000023593877],"about_ca_topic_score_codex":0.0018079652,"about_ca_topic_score_gemma":0.0021601615,"teacher_disagreement_score":0.009014072,"about_ca_system_score_codex":0.00057224813,"about_ca_system_score_gemma":0.0011398721,"threshold_uncertainty_score":0.047671556},"labels":[],"label_agreement":null},{"id":"W4413871933","doi":"10.2196/80407","title":"AI HeartBot to Increase Women’s Awareness and Knowledge of Heart Attacks: Nonrandomized, Quasi-Experimental Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Psychology; Computer science; World Wide Web","score_opus":0.062172875570666156,"score_gpt":0.46461840493874107,"score_spread":0.40244552936807493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413871933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95654577,0.00009513064,0.00094450614,0.00026570988,0.00018593109,0.039960135,0.00042406053,0.00006973946,0.0015089359],"genre_scores_gemma":[0.8357826,0.00025780173,0.010616134,0.0014501583,0.0003729536,0.1459404,0.00035315336,0.000021701248,0.005205102],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9934017,0.004005625,0.0004253826,0.00066881813,0.0007144017,0.00078397576],"domain_scores_gemma":[0.989287,0.0057825563,0.0015070401,0.0011556409,0.001102805,0.0011649451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009292551,0.0012505434,0.0014016639,0.00091433054,0.0024467595,0.0010360117,0.001475308,0.0018962006,0.012730826],"category_scores_gemma":[0.011999722,0.0014649008,0.0009629091,0.00048662495,0.0019786092,0.0013708527,0.0008589415,0.0019033535,0.0019009227],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.10281122,0.8269643,0.014133011,0.0013373599,0.00032867645,0.0001900149,0.0039995667,0.00029280412,0.004007753,0.00039983634,0.0022181408,0.043317314],"study_design_scores_gemma":[0.119888045,0.844933,0.027595984,0.00012825627,0.00023010053,0.000047839832,0.0015064395,0.00072796474,0.001294891,0.00038692163,0.003221169,0.000039451028],"about_ca_topic_score_codex":0.002692932,"about_ca_topic_score_gemma":0.0044477526,"teacher_disagreement_score":0.012730826,"about_ca_system_score_codex":0.0011355922,"about_ca_system_score_gemma":0.0038364467,"threshold_uncertainty_score":0.049144328},"labels":[],"label_agreement":null},{"id":"W4414751358","doi":"10.2196/80569","title":"Serial 12-Lead Electrocardiogram–Based Deep-Learning Model for Hospital Admission Prediction in Emergency Department Cardiac Presentations: Retrospective Cohort Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Retrospective cohort study; Emergency department; Hospital admission; Cohort study; MEDLINE","score_opus":0.009325508552494794,"score_gpt":0.30633529027118556,"score_spread":0.29700978171869075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414751358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961551,0.00012211083,0.001970546,0.000054060092,0.000018955734,0.000047219553,0.0015057243,0.000018028944,0.00010821928],"genre_scores_gemma":[0.9925908,0.00013936352,0.0015674324,0.000062862266,0.000037903188,0.000100074576,0.0052411887,0.000018881803,0.00024166335],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936527,0.00013934469,0.000053757372,0.00028084475,0.000084930274,0.00007584685],"domain_scores_gemma":[0.9971861,0.00075103756,0.00037620717,0.000798738,0.0005750225,0.00031285235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025930763,0.0007519248,0.00063970673,0.00076490804,0.00033713534,0.000680795,0.0010324125,0.0006955661,0.0012750451],"category_scores_gemma":[0.005929613,0.0004679287,0.0011556443,0.00043792828,0.00032481868,0.0006378022,0.0007936969,0.0015980585,0.0005052191],"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":[0.001205563,0.00071987114,0.9855444,0.00002837528,0.0005732128,0.0003429674,0.00008563913,0.002550941,0.00044576835,0.00011108195,0.0020532582,0.006338813],"study_design_scores_gemma":[0.00050919416,0.0033702285,0.83771634,0.000084836,0.0013687736,0.0022891667,0.0007877292,0.14877185,0.0013956598,0.00070241594,0.0028675874,0.00013631597],"about_ca_topic_score_codex":0.005742251,"about_ca_topic_score_gemma":0.0051878053,"teacher_disagreement_score":0.005742251,"about_ca_system_score_codex":0.0005466239,"about_ca_system_score_gemma":0.00067206647,"threshold_uncertainty_score":0.013713658},"labels":[],"label_agreement":null},{"id":"W4414869603","doi":"10.2196/77911","title":"Validity of Heart Rate Measurement Using Wearable Devices During Cardiopulmonary Exercise Testing in Patients With Cardiovascular Disease: Prospective Pilot Validation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wearable computer; Heart rate; Wearable technology; Activity tracker; Activity monitor; Data collection; Physical activity; Prospective cohort study","score_opus":0.040738356686504634,"score_gpt":0.2658452043592367,"score_spread":0.22510684767273206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414869603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980683,0.000090704474,0.0012221998,0.000013931502,0.000012139411,0.00020309622,0.0001279858,0.000009842305,0.0002518999],"genre_scores_gemma":[0.99786866,0.000059676375,0.0013316566,0.00003962881,0.000019359197,0.00023044703,0.0003381502,0.0000060507937,0.000106356354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966294,0.0015076541,0.00034909105,0.00067453214,0.0006766955,0.00016259574],"domain_scores_gemma":[0.98942345,0.004543469,0.0019385135,0.0015060488,0.0020536864,0.0005348664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006110554,0.00071021676,0.0005284136,0.00045957675,0.00047127903,0.00064637087,0.00056927645,0.0008326383,0.000848939],"category_scores_gemma":[0.013408529,0.00038788398,0.0007226959,0.00035570504,0.00084003765,0.0007208583,0.00077103934,0.00063546124,0.0006530716],"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":[0.0018652382,0.0013170299,0.98492765,0.00006339478,0.00015524992,0.000092921524,0.00075500336,0.00020877179,0.002329694,0.000039186678,0.00016157964,0.008084388],"study_design_scores_gemma":[0.00028823092,0.010129627,0.98555815,0.00002973751,0.00012422139,0.0004801637,0.00041233344,0.0016628095,0.0008439009,0.000037534137,0.00041438945,0.000018910463],"about_ca_topic_score_codex":0.00073935697,"about_ca_topic_score_gemma":0.00094237435,"teacher_disagreement_score":0.006110554,"about_ca_system_score_codex":0.0002446556,"about_ca_system_score_gemma":0.00048851,"threshold_uncertainty_score":0.03231603},"labels":[],"label_agreement":null},{"id":"W4415402927","doi":"10.2196/79239","title":"Physicians’ Use of Electronic Health Record Data Elements and Decision Support Tools in Heart Failure Management: User-Centered Cross-Sectional Survey Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; American Heart Association; U.S. Department of Veterans Affairs","keywords":"Decision support system; Clinical decision support system; Electronic health record; Interface (matter); Survey research; Heart failure; MEDLINE; Data collection","score_opus":0.07655680564635918,"score_gpt":0.3871488469231459,"score_spread":0.3105920412767867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415402927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99950767,0.000046812253,0.00010238904,0.00004518148,0.0000017386061,0.000022809509,0.00012628162,0.000001979644,0.00014510163],"genre_scores_gemma":[0.99940526,0.00005378029,0.00022706766,0.000080818434,0.0000033884744,0.000040785988,0.00011767113,0.0000013656638,0.00006984908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961526,0.0018063287,0.00056722393,0.00046555314,0.00070511113,0.00030306],"domain_scores_gemma":[0.9875246,0.005089331,0.0038904243,0.0005743071,0.0017874119,0.0011338422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005827527,0.00019617293,0.00030456219,0.0011328754,0.0004858713,0.0009443032,0.00031195488,0.0008268385,0.0010235903],"category_scores_gemma":[0.011441071,0.000430639,0.00048078166,0.0011926459,0.00038834903,0.0012755316,0.00077464397,0.0005529009,0.00035013354],"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":[0.00003088322,0.00013290747,0.9961492,0.000022505634,0.00002623508,0.000035320405,0.0021806024,0.000020667088,0.00014660438,0.00000999256,0.00008976159,0.0011552908],"study_design_scores_gemma":[0.0000071256572,0.0003179442,0.99439865,0.000019699486,0.000016698325,0.0001666424,0.0043422296,0.00032037857,0.00009360763,0.000009696255,0.00029941104,0.000007841946],"about_ca_topic_score_codex":0.0032314875,"about_ca_topic_score_gemma":0.0044489815,"teacher_disagreement_score":0.005827527,"about_ca_system_score_codex":0.00047226096,"about_ca_system_score_gemma":0.0005193749,"threshold_uncertainty_score":0.030819297},"labels":[],"label_agreement":null},{"id":"W4416081889","doi":"10.2196/78075","title":"Photoplethysmography-Based Machine Learning Approaches for Atrial Fibrillation Burden: Algorithm Development and Validation","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Atrial fibrillation; Gold standard (test); Duration (music); Concordance; Cardiac arrhythmia; Statistical classification","score_opus":0.01957857140821109,"score_gpt":0.23507317877508654,"score_spread":0.21549460736687545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416081889","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1755646,0.0030940203,0.81561416,0.00071606704,0.0001315853,0.00052802236,0.0005435412,0.0021913406,0.0016166639],"genre_scores_gemma":[0.7272133,0.00094531104,0.26814762,0.00028008412,0.000112617934,0.00096525915,0.0011307742,0.00008136382,0.0011236524],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983909,0.00067640975,0.00017397455,0.00038267847,0.000292393,0.000083587816],"domain_scores_gemma":[0.9940408,0.0037810483,0.0004947475,0.0003443902,0.0012251647,0.00011381763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071854456,0.0012460717,0.0011359785,0.0021529929,0.0004589363,0.001163863,0.0012794146,0.0012954465,0.0011980998],"category_scores_gemma":[0.013346618,0.00033841518,0.0011842867,0.0010084463,0.00036138226,0.0008939101,0.0010308705,0.0018158582,0.0006755618],"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":[0.00054053887,0.0008021194,0.0559114,0.0002039846,0.00063388876,0.000120018856,0.00010782303,0.33671132,0.003475684,0.0012216975,0.0030691165,0.5972025],"study_design_scores_gemma":[0.000018745252,0.00006877744,0.002185112,0.000018592618,0.000027167041,0.000027267908,0.000010997141,0.99644536,0.00045829176,0.0005560792,0.00017590626,0.000007639779],"about_ca_topic_score_codex":0.004617806,"about_ca_topic_score_gemma":0.002929097,"teacher_disagreement_score":0.0071854456,"about_ca_system_score_codex":0.0008419224,"about_ca_system_score_gemma":0.0014552334,"threshold_uncertainty_score":0.038000703},"labels":[],"label_agreement":null},{"id":"W4416088292","doi":"10.2196/87091","title":"Joint Trajectories of Blood Pressure and Heart Rate and Their Association with Relative Change in Relative Wall Thickness in Hypertensive Patients: A Group-Based Multi-Trajectory Modeling Analysis (Preprint)","year":2025,"lang":"en","type":"preprint","venue":"JMIR Cardio","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blood pressure; Heart rate; Ambulatory blood pressure; Glycemic; Bayesian multivariate linear regression; Diastole; Joint (building); Ambulatory","score_opus":0.02434048699263778,"score_gpt":0.2532815605963309,"score_spread":0.22894107360369312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416088292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98955256,0.00013352175,0.008360739,0.00026063624,0.000034609046,0.00005103971,0.0013484897,0.000048513946,0.00020995464],"genre_scores_gemma":[0.99292153,0.000080334255,0.0042126533,0.000031323314,0.000018335206,0.00009557942,0.0022368608,0.000009502079,0.00039393496],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957985,0.00019671884,0.000033231336,0.00010698937,0.000031510634,0.000051690324],"domain_scores_gemma":[0.9989367,0.00048501644,0.00018788615,0.00014090918,0.00012227397,0.0001272086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023086974,0.0005695435,0.00047518554,0.0005955285,0.00033058674,0.00058813044,0.0005321613,0.00037025614,0.00208483],"category_scores_gemma":[0.0036061532,0.00020634514,0.0019855003,0.0006379836,0.00014205709,0.000372713,0.00073381513,0.0006298666,0.00024018924],"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":[0.0011387549,0.00018660285,0.9655088,0.00005868881,0.001044777,0.00012157634,0.00027964413,0.013494076,0.00054565363,0.00043647818,0.0016549275,0.01552998],"study_design_scores_gemma":[0.0001139382,0.00060360023,0.6242484,0.000055331024,0.00084529445,0.00013720313,0.0005956877,0.37067837,0.00036490484,0.0012766256,0.0010381654,0.00004245987],"about_ca_topic_score_codex":0.01818031,"about_ca_topic_score_gemma":0.009448153,"teacher_disagreement_score":0.01818031,"about_ca_system_score_codex":0.0004397289,"about_ca_system_score_gemma":0.0008970013,"threshold_uncertainty_score":0.036148965},"labels":[],"label_agreement":null},{"id":"W4416257124","doi":"10.2196/70147","title":"Web-Based Platform for the Chilean Cardiac Surgery Registry: Algorithm Development and Validation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Agencia Nacional de Investigación y Desarrollo","keywords":"Cardiac surgery; Data collection; Patient data; Public health; MEDLINE; Health data","score_opus":0.05874834448189026,"score_gpt":0.4008819401058027,"score_spread":0.34213359562391243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416257124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79425603,0.0010905267,0.14480793,0.0016516633,0.00023038908,0.009655586,0.032623366,0.0077728415,0.007911658],"genre_scores_gemma":[0.758599,0.0005356902,0.19512418,0.00024405688,0.000060019203,0.0056291413,0.03790347,0.0003434021,0.0015610133],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99547786,0.0020074167,0.0006334678,0.00081232755,0.0008207054,0.00024823355],"domain_scores_gemma":[0.98506945,0.006329589,0.0017919798,0.0015916021,0.0044577816,0.0007597151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012361665,0.0007751668,0.0006757804,0.0049796114,0.00053942617,0.0028093047,0.0014805801,0.0007316432,0.004606451],"category_scores_gemma":[0.03491242,0.0004496355,0.0012414538,0.002579812,0.0003698337,0.0017898398,0.0021888637,0.00106711,0.0014283533],"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":[0.0018202431,0.0019606685,0.6790983,0.0012161772,0.0007569258,0.0010527737,0.00089704804,0.031133248,0.00237233,0.0030879918,0.027797895,0.24880639],"study_design_scores_gemma":[0.0014698787,0.0012830973,0.32592243,0.0010975007,0.0007518572,0.0018024372,0.0021391942,0.61970764,0.0063778907,0.0030726455,0.036196396,0.0001790051],"about_ca_topic_score_codex":0.015056779,"about_ca_topic_score_gemma":0.008706572,"teacher_disagreement_score":0.015056779,"about_ca_system_score_codex":0.0023202996,"about_ca_system_score_gemma":0.005949949,"threshold_uncertainty_score":0.06537551},"labels":[],"label_agreement":null},{"id":"W4416711395","doi":"10.2196/76275","title":"The Impact of Digital Intervention Messages Targeting Users With High Blood Pressure Events: Retrospective Real-World Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Digital health; Psychological intervention; Nudge theory; Intervention (counseling); Blood pressure; eHealth; mHealth","score_opus":0.015411124779574266,"score_gpt":0.4123919582596651,"score_spread":0.39698083348009083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416711395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99807894,0.00023060288,0.00035595623,0.00006287442,0.000010923071,0.00016595547,0.0007721246,0.000008290907,0.00031430527],"genre_scores_gemma":[0.9981487,0.00018981403,0.0005118942,0.000108614295,0.000024073966,0.00021170298,0.0006473942,0.0000059907584,0.00015184007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972671,0.0011442497,0.00034127108,0.00056938996,0.00041383487,0.0002641392],"domain_scores_gemma":[0.9922069,0.0020613156,0.0030856992,0.0009957405,0.00090490317,0.0007455135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030034848,0.0004305189,0.00055457104,0.00080261036,0.00077966024,0.0011383243,0.0005681736,0.0007696816,0.0017748408],"category_scores_gemma":[0.013959976,0.00050964695,0.0011025796,0.0011110087,0.00053781125,0.0010018647,0.0010316849,0.0009887966,0.0005264841],"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":[0.0009044218,0.0011550308,0.9897455,0.00013306786,0.0003564322,0.00013003954,0.0007680396,0.00011069916,0.00013767197,0.000058240694,0.00064111245,0.0058596525],"study_design_scores_gemma":[0.00014830987,0.0021828248,0.9925315,0.0000965045,0.00040706625,0.00037419982,0.0015289558,0.0010991701,0.00021620672,0.0000852161,0.0012909796,0.000039104252],"about_ca_topic_score_codex":0.008355004,"about_ca_topic_score_gemma":0.007255462,"teacher_disagreement_score":0.008355004,"about_ca_system_score_codex":0.00061962835,"about_ca_system_score_gemma":0.0008862308,"threshold_uncertainty_score":0.016612709},"labels":[],"label_agreement":null},{"id":"W4417135517","doi":"10.2196/75170","title":"Outcomes of Team-Based Digital Monitoring of Patients With Multiple Chronic Conditions: Semiparametric Event Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Referral; Reimbursement; Event (particle physics); Workflow; Population; Event monitoring; Event data; Patient referral","score_opus":0.01476196217535757,"score_gpt":0.2966721928510253,"score_spread":0.28191023067566773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417135517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988311,0.000055374883,0.00018881088,0.00003652023,0.000007938635,0.00008799634,0.0004819827,0.00000430631,0.00030594846],"genre_scores_gemma":[0.9986125,0.000036051977,0.00027579145,0.00006654267,0.000026546404,0.0001544903,0.00074494485,0.0000018655982,0.00008129144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973411,0.0013137026,0.00029002345,0.00047393233,0.00034813705,0.00023319092],"domain_scores_gemma":[0.992736,0.0013090784,0.003023677,0.0007930348,0.0006006375,0.001537712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023856189,0.00034439898,0.0004560148,0.00064792944,0.00052869855,0.0010225825,0.00051801675,0.00051642215,0.0012057303],"category_scores_gemma":[0.0066515016,0.0002794442,0.0011797441,0.00085385126,0.00025244773,0.0007560646,0.0016592528,0.00093048636,0.0002128441],"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":[0.004226474,0.0014299866,0.988306,0.000048040023,0.0004284307,0.00005955653,0.0001870864,0.00014567899,0.00012295289,0.00003320122,0.0003120756,0.0047004665],"study_design_scores_gemma":[0.0007301623,0.0034739645,0.99350536,0.000022138349,0.00024378361,0.00014184951,0.00030915867,0.001103705,0.00009206113,0.000047613834,0.00031390507,0.000016312359],"about_ca_topic_score_codex":0.002458779,"about_ca_topic_score_gemma":0.0030685312,"teacher_disagreement_score":0.002458779,"about_ca_system_score_codex":0.0007337928,"about_ca_system_score_gemma":0.0007455553,"threshold_uncertainty_score":0.012616515},"labels":[],"label_agreement":null},{"id":"W4417427834","doi":"10.2196/76218","title":"Using Patient-Held Devices to Measure Variations in Resting Heart Rate and Step Count Prior to Presentation With an Acute Illness: International, Multicenter Flash Mob Feasibility Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Heart rate; Measure (data warehouse); Presentation (obstetrics); Vital signs; Flash (photography); Heart rate monitor; RESTING HEART RATE","score_opus":0.02926915656187042,"score_gpt":0.31945508329090916,"score_spread":0.29018592672903876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417427834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996487,0.00008295176,0.0009250726,0.000061738465,0.000014231816,0.0009293781,0.00073474157,0.000011385247,0.0007534086],"genre_scores_gemma":[0.99262446,0.0001074649,0.0029116771,0.00028567915,0.000045012075,0.0020745895,0.0015578785,0.000009453399,0.00038371235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968501,0.0017433045,0.0002885939,0.00052702916,0.00033855956,0.00025235736],"domain_scores_gemma":[0.99325836,0.0017594249,0.002102095,0.0007177799,0.0012607796,0.00090163207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006255314,0.0011373389,0.00042441546,0.001091517,0.000711979,0.00086814276,0.0006464438,0.00092291675,0.0012743094],"category_scores_gemma":[0.0072468254,0.00051469257,0.0006915096,0.00074050244,0.000828711,0.0013333553,0.0012675517,0.00059905666,0.0006030265],"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":[0.00408605,0.0047543524,0.97836316,0.000104289706,0.00022927408,0.00015401986,0.0011071335,0.00019519108,0.0015455936,0.00007156034,0.00055106473,0.008838259],"study_design_scores_gemma":[0.0015116829,0.01741062,0.97521496,0.000046598936,0.0001954156,0.00037307566,0.0024073292,0.0008540125,0.0006796231,0.00007166151,0.0011968203,0.000038265207],"about_ca_topic_score_codex":0.004023103,"about_ca_topic_score_gemma":0.005761145,"teacher_disagreement_score":0.006255314,"about_ca_system_score_codex":0.0006262189,"about_ca_system_score_gemma":0.0009579431,"threshold_uncertainty_score":0.03308165},"labels":[],"label_agreement":null},{"id":"W7116406781","doi":"10.2196/82462","title":"Explainable Logistic Regression for Heart Disease Risk Prediction in Community and Clinical Populations: Development and External Validation Study (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Logistic regression; Heart disease; Disease; Risk assessment; Regression analysis; MEDLINE","score_opus":0.3183562680799437,"score_gpt":0.5600324116557923,"score_spread":0.2416761435758486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116406781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8808914,0.0009765965,0.09961817,0.00081157614,0.0003310577,0.0022126634,0.009672026,0.0028423301,0.0026441684],"genre_scores_gemma":[0.878908,0.00033182462,0.08351688,0.00043605443,0.00013263064,0.0016368573,0.03302945,0.00028877315,0.0017195719],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99449366,0.003658525,0.00024772104,0.0008245258,0.00061962544,0.00015580197],"domain_scores_gemma":[0.9786663,0.010833699,0.00079071004,0.0043302984,0.0047667455,0.00061213557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.029966794,0.0013669892,0.00075053883,0.0009667714,0.00040930946,0.00081962545,0.0018060799,0.000994079,0.0021025685],"category_scores_gemma":[0.037160303,0.00040240234,0.001604475,0.00063190167,0.0007035858,0.0009213024,0.0020219493,0.0023255066,0.0013129945],"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":[0.0054295226,0.004978026,0.4822684,0.00068784575,0.0037115305,0.00039976774,0.00073410344,0.16398367,0.004575641,0.0023546643,0.048788313,0.28208858],"study_design_scores_gemma":[0.0023481697,0.006095584,0.1821246,0.00025868817,0.0008593606,0.0005442772,0.00032092046,0.78882056,0.005248264,0.0027804293,0.010464515,0.00013459145],"about_ca_topic_score_codex":0.005284516,"about_ca_topic_score_gemma":0.004748964,"teacher_disagreement_score":0.029966794,"about_ca_system_score_codex":0.00073897943,"about_ca_system_score_gemma":0.0020398127,"threshold_uncertainty_score":0.15848142},"labels":[],"label_agreement":null},{"id":"W7116838561","doi":"10.2196/79639","title":"Mindfulness-Based Self-Management Program Using a Mobile App for Patients With Pulmonary Hypertension: Single-Arm Feasibility Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Pulmonary Hypertension Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mobile apps; Warrant; Randomized controlled trial; Quality of life (healthcare); Quality (philosophy); Smartphone app; mHealth","score_opus":0.029184153756228112,"score_gpt":0.32442697609344173,"score_spread":0.2952428223372136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116838561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907004,0.00006480845,0.0007020964,0.00009024679,0.000027748583,0.00782843,0.00014936931,0.000027431632,0.0004094091],"genre_scores_gemma":[0.96593904,0.00033314037,0.0074522337,0.0003595016,0.00010296869,0.024256717,0.00031877216,0.0000144191745,0.0012230697],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9988838,0.00044918116,0.00009554111,0.00014321752,0.00017736485,0.00025083998],"domain_scores_gemma":[0.9987054,0.00046657398,0.0001231154,0.0001403771,0.00019011616,0.00037437608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030154425,0.00095735595,0.0013973583,0.0006806205,0.0010266585,0.0006892479,0.0007366205,0.0011077278,0.0058330186],"category_scores_gemma":[0.0028113853,0.000594788,0.0011279898,0.0002802933,0.000709502,0.0010885395,0.00087369024,0.0012679283,0.0008801197],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.08646937,0.6898328,0.028893907,0.0014880149,0.0004448819,0.00075438415,0.0034419245,0.00053888554,0.031933974,0.00015550527,0.0010700066,0.15497628],"study_design_scores_gemma":[0.039431904,0.8890545,0.06455384,0.000094655225,0.00028426005,0.0002442915,0.0014402282,0.00085445924,0.0025132583,0.00008923424,0.0013874454,0.00005190399],"about_ca_topic_score_codex":0.001048724,"about_ca_topic_score_gemma":0.0017518998,"teacher_disagreement_score":0.0058330186,"about_ca_system_score_codex":0.00042825745,"about_ca_system_score_gemma":0.0021373956,"threshold_uncertainty_score":0.019513428},"labels":[],"label_agreement":null},{"id":"W7116957255","doi":"10.2196/79159","title":"Association Between Type D Personality and Cardiovascular Disease History: Cross-Sectional Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Association (psychology); Disease; Type D personality; Personality; Depression (economics)","score_opus":0.040318661830385,"score_gpt":0.3633609145791362,"score_spread":0.3230422527487512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116957255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990435,0.00015035238,0.00011162121,0.000022248683,0.0000072871035,0.000026083284,0.00032523813,0.0000025463894,0.00031112347],"genre_scores_gemma":[0.99918836,0.00011619273,0.00019080308,0.00006320248,0.000012499485,0.000025398473,0.00028722183,0.0000012658788,0.00011508737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994746,0.00017153649,0.000073298695,0.00011791307,0.00009983541,0.00006291426],"domain_scores_gemma":[0.9980578,0.00038546513,0.00072436075,0.00016792641,0.00022399914,0.0004404094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001091319,0.0002449653,0.00032246264,0.0006508444,0.0004848747,0.00046215978,0.00025031297,0.0005069035,0.0014688289],"category_scores_gemma":[0.0021055478,0.00042513074,0.00036140686,0.00075738167,0.00021862861,0.0004131595,0.00048900687,0.00061036163,0.00033537397],"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":[0.000023980021,0.0000355407,0.9994861,0.000004827253,0.000025934396,0.000019030096,0.00004062027,0.0000058975374,0.00005490799,0.0000030521794,0.000034578487,0.0002654578],"study_design_scores_gemma":[0.0000035248843,0.000104231265,0.9995159,0.0000039582987,0.000014931201,0.00012437976,0.00010060944,0.000043032356,0.00001359395,0.0000065165477,0.0000676281,0.0000016793692],"about_ca_topic_score_codex":0.0033025949,"about_ca_topic_score_gemma":0.005078249,"teacher_disagreement_score":0.0033025949,"about_ca_system_score_codex":0.000193685,"about_ca_system_score_gemma":0.00023674744,"threshold_uncertainty_score":0.006566763},"labels":[],"label_agreement":null},{"id":"W7117742805","doi":"10.2196/77380","title":"Predicting Atrial Fibrillation Ablation Outcomes: Machine Learning Model Development and Validation Using a Large Administrative Claims Database","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Atrial fibrillation; Predictive modelling; Key (lock); Implementation; Ablation Therapy; Quality (philosophy); Quality management","score_opus":0.09673255516186258,"score_gpt":0.3847998135342725,"score_spread":0.28806725837240993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117742805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9767591,0.00044781782,0.016939882,0.00074242556,0.000055287543,0.0002204803,0.0033852067,0.0005758903,0.0008739322],"genre_scores_gemma":[0.97251916,0.00015951812,0.01978999,0.00012957788,0.00004512995,0.00016448903,0.006932939,0.000021290938,0.00023784615],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971794,0.0014357648,0.00029721594,0.00048466193,0.00040342106,0.00019961326],"domain_scores_gemma":[0.9824562,0.012880029,0.0012720056,0.0011839753,0.0017605774,0.00044717608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012387675,0.0010629391,0.0008239191,0.0022463931,0.0005921569,0.0012284068,0.0017032892,0.000912842,0.0011480378],"category_scores_gemma":[0.022063633,0.00037549908,0.0012128593,0.0013972244,0.00050366455,0.0008835028,0.0014544886,0.0016490419,0.00050140603],"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":[0.0011774077,0.0035077783,0.54447514,0.0002586392,0.0010674103,0.00058478577,0.00028705024,0.33783,0.0013317598,0.0010751933,0.0089810975,0.099423625],"study_design_scores_gemma":[0.000094005954,0.0002370734,0.03700017,0.000039093447,0.000078978315,0.000079908146,0.000092866896,0.9602642,0.0007915095,0.00073810265,0.0005636599,0.000020480795],"about_ca_topic_score_codex":0.014181203,"about_ca_topic_score_gemma":0.0097722085,"teacher_disagreement_score":0.014181203,"about_ca_system_score_codex":0.0012676362,"about_ca_system_score_gemma":0.0021961096,"threshold_uncertainty_score":0.065513074},"labels":[],"label_agreement":null},{"id":"W7151040434","doi":"10.2196/71224","title":"\"A Novel Convolutional Neural Network-Based Algorithm for Heart Rate Measurement from Ballistocardiography Signals in Diverse Clinical Settings\" (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ballistocardiography; Pattern recognition (psychology); Convolutional neural network; Heart rate; Measure (data warehouse)","score_opus":0.03374163210021625,"score_gpt":0.2837381099616853,"score_spread":0.24999647786146906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7151040434","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043340515,0.0008596858,0.9501796,0.00056827697,0.00024560347,0.00010589247,0.00041957738,0.002605844,0.0016750739],"genre_scores_gemma":[0.40516827,0.00075860287,0.57925636,0.00058516423,0.00018526727,0.0001968184,0.0012833205,0.0001982831,0.012367913],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975187,0.00003480743,0.000014429322,0.00008008102,0.00007699313,0.000041780193],"domain_scores_gemma":[0.9996629,0.00010718291,0.000023964827,0.000028267455,0.00015360067,0.000024158062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089049566,0.00073179795,0.00047963063,0.00047722342,0.00031766895,0.0005587259,0.001026545,0.0011022871,0.0014525703],"category_scores_gemma":[0.001812846,0.00035700537,0.0004931091,0.00041176192,0.00019829647,0.00044763833,0.0008108705,0.0010020192,0.0008802774],"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":[0.0003752157,0.0001585379,0.0038952702,0.000078699304,0.00015243285,0.0001295361,0.000048947786,0.0767004,0.025504267,0.0015987256,0.009545306,0.88181263],"study_design_scores_gemma":[0.000015261261,0.000042787964,0.0018374712,0.000011294686,0.00003177473,0.00009306288,0.000006890122,0.9873191,0.008927806,0.00051716174,0.0011862384,0.000011139917],"about_ca_topic_score_codex":0.014783351,"about_ca_topic_score_gemma":0.022427658,"teacher_disagreement_score":0.014783351,"about_ca_system_score_codex":0.0005945995,"about_ca_system_score_gemma":0.0010105579,"threshold_uncertainty_score":0.029394627},"labels":[],"label_agreement":null},{"id":"W7161634844","doi":"10.2196/84764","title":"Mobile Applications for Heart Rate Variability: Search and Content Analysis (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mobile device; Statistical analysis; Heart rate; Field (mathematics); mHealth","score_opus":0.02773691249144397,"score_gpt":0.32760165871963726,"score_spread":0.29986474622819326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161634844","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37145826,0.011579316,0.39021626,0.006013241,0.003436691,0.0015588966,0.07166095,0.10589475,0.03818163],"genre_scores_gemma":[0.71366274,0.0039361822,0.21705386,0.0006237521,0.0033960696,0.0008430042,0.024265544,0.004320726,0.03189815],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993862,0.00014897896,0.000056236964,0.00010494932,0.00025477854,0.000048816346],"domain_scores_gemma":[0.9969855,0.0019091198,0.00017167484,0.00026800286,0.00053720764,0.00012857853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008101121,0.0008981435,0.00079624343,0.003758687,0.00043463483,0.0026385642,0.00039340116,0.0010026542,0.024452481],"category_scores_gemma":[0.0076483237,0.00021187506,0.00062177435,0.002996042,0.00013627186,0.0012059893,0.0007906691,0.00047665514,0.014073146],"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":[0.0014455502,0.00032619236,0.012603138,0.0009393255,0.00025939566,0.00033579097,0.00063299073,0.0021004507,0.03738078,0.0016474549,0.10635333,0.8359756],"study_design_scores_gemma":[0.0005595915,0.0017631861,0.24457197,0.000783364,0.0008541438,0.0033127975,0.0029277746,0.43210864,0.120108664,0.026151279,0.1663126,0.000546034],"about_ca_topic_score_codex":0.0017136682,"about_ca_topic_score_gemma":0.0016443329,"teacher_disagreement_score":0.024452481,"about_ca_system_score_codex":0.00024446996,"about_ca_system_score_gemma":0.00037146706,"threshold_uncertainty_score":0.08180171},"labels":[],"label_agreement":null},{"id":"W7162107442","doi":"10.2196/83055","title":"Involving Families in Cardiac Care through Remote Patient and Family Management: Focus Group and Journey Mapping Study (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Family and Patient Care in Intensive Care Units","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Focus group; Focus (optics); Qualitative research; Group (periodic table); Telemedicine","score_opus":0.04786937312479835,"score_gpt":0.34891968815657953,"score_spread":0.3010503150317812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162107442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981774,0.000059173497,0.00020858868,0.00041045473,0.000015574455,0.00016022331,0.00005675289,0.0000037088512,0.00090817356],"genre_scores_gemma":[0.9960413,0.00023532455,0.00057759526,0.0006245333,0.000013395779,0.00084673986,0.00008976282,0.0000074339773,0.0015640075],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9964839,0.0022210134,0.00010882078,0.00023637108,0.00019271449,0.0007571661],"domain_scores_gemma":[0.99267006,0.0036475612,0.0006333819,0.00035191944,0.0009819244,0.0017151217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005966748,0.0005198727,0.0005697401,0.0013282032,0.01217119,0.00233926,0.0012058107,0.0018000449,0.0044557787],"category_scores_gemma":[0.01239814,0.0006760232,0.00057098415,0.0011700245,0.0020051408,0.0036131057,0.0044401367,0.002660833,0.00051392784],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013741336,0.0019066232,0.031645134,0.0001262398,0.000018835282,0.0004734169,0.9541022,0.000027337514,0.00047709062,0.0002132304,0.00096354185,0.009909016],"study_design_scores_gemma":[0.00002572097,0.0004735672,0.027043588,0.00007297201,0.000013911011,0.00013254277,0.9702478,0.000028721302,0.0001281273,0.00010429627,0.0017117717,0.0000170957],"about_ca_topic_score_codex":0.02941023,"about_ca_topic_score_gemma":0.056310315,"teacher_disagreement_score":0.02941023,"about_ca_system_score_codex":0.0031766032,"about_ca_system_score_gemma":0.008270624,"threshold_uncertainty_score":0.058478117},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"}]}