{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":10,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":10,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"ec63762b5e52","filters":{"venue":"Cardiovascular Digital Health Journal"}},"results":[{"id":"W3080590581","doi":"10.1016/j.cvdhj.2020.06.002","title":"Survey of current perspectives on consumer-available digital health devices for detecting atrial fibrillation","year":2020,"lang":"en","type":"article","venue":"Cardiovascular Digital Health Journal","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Biosense Webster; Merck Sharp and Dohme; Bristol-Myers Squibb Canada; MicroPort; Johnson and Johnson; Biotronik; Samsung; Euroscience; Boston Scientific Corporation; Boehringer Ingelheim; Roche; Novartis; Toyota Motor Corporation; Bayer; National Heart, Lung, and Blood Institute; Pfizer; Bristol-Myers Squibb; Daiichi Sankyo Europe; Sanofi; American Heart Association","keywords":"Atrial fibrillation; Medicine; Clinical Practice; Health care; Heart Rhythm; Medical emergency; Cardiology; Family medicine","authors":[{"name":"Eric Ding","is_ca":false},{"name":"Emma Svennberg","is_ca":false},{"name":"Christina J. Wurster","is_ca":false},{"name":"David Duncker","is_ca":false},{"name":"Martin Manninger","is_ca":false},{"name":"Steven A. Lubitz","is_ca":false},{"name":"Emily L. Dickson","is_ca":false},{"name":"Timothy P. Fitzgibbons","is_ca":false},{"name":"Nazem Akoum","is_ca":false},{"name":"Sana M. Al‐Khatib","is_ca":false},{"name":"Zachi I. Attia","is_ca":false},{"name":"Hamid Ghanbari","is_ca":false},{"name":"Nassir F. Marrouche","is_ca":false},{"name":"G. Stuart Mendenhall","is_ca":false},{"name":"Nicholas S. Peters","is_ca":false},{"name":"Khaldoun G. Tarakji","is_ca":false},{"name":"Mintu P. Turakhia","is_ca":false},{"name":"Elaine Y. Wan","is_ca":false},{"name":"David D. McManus","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1448111858490127,"gpt":0.3690907249097095,"spread":0.2242795390606968,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003049017,0.0001577031,0.0001657461,0.001186012,0.0003788101,0.0007310048,0.0002171186,0.0006194864,0.004104675],"category_scores_gemma":[0.009527461,0.0002216629,0.0003463092,0.001398978,0.0003697551,0.0009653263,0.0005809715,0.000514698,0.0005729863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006303811,"about_ca_system_score_gemma":0.0006146948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006109854,"about_ca_topic_score_gemma":0.004979427,"domain_scores_codex":[0.9978548,0.0007871597,0.0002527761,0.0001733567,0.0006251974,0.0003066579],"domain_scores_gemma":[0.9828363,0.00616868,0.006016977,0.0003012016,0.003155635,0.001521156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006248385,0.00007241469,0.9771264,0.0001079927,0.00003283042,0.0001616255,0.003893109,0.00005917726,0.0004648069,0.00007227594,0.00234328,0.0156035],"study_design_scores_gemma":[0.00001127967,0.0002214886,0.9784704,0.0001426716,0.00001828322,0.0005437395,0.01463029,0.0003274448,0.0001671344,0.00004225572,0.005411501,0.0000134688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936293,0.0005036471,0.000195044,0.001556061,0.00001448898,0.00002989217,0.001046719,0.000006535993,0.003018399],"genre_scores_gemma":[0.9964086,0.001025763,0.0003286165,0.0009681503,0.00003451725,0.00003469398,0.0005917727,0.000004141586,0.0006036545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006109854,"threshold_uncertainty_score":0.0161249,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200313034","doi":"10.1016/j.cvdhj.2021.12.001","title":"A machine learning–based clinical decision support algorithm for reducing unnecessary coronary angiograms","year":2021,"lang":"en","type":"article","venue":"Cardiovascular Digital Health Journal","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Public Health Ontario; University of Toronto; McMaster University; Population Health Research Institute; Hamilton Health Sciences","funders":"Australian Federal Police","keywords":"Medicine; Receiver operating characteristic; Coronary artery disease; Referral; Confidence interval; Angiography; Medical diagnosis; Radiology; Machine learning; Algorithm; Artificial intelligence; Internal medicine; Computer science","authors":[{"name":"Jon-David Schwalm","is_ca":true},{"name":"Shuang Di","is_ca":true},{"name":"Tej Sheth","is_ca":true},{"name":"Madhu K. Natarajan","is_ca":true},{"name":"Erin O’Brien","is_ca":true},{"name":"Tara McCready","is_ca":true},{"name":"Jeremy Petch","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1257066984299764,"gpt":0.4304919897530561,"spread":0.3047852913230797,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001975711,0.0007270142,0.0009634023,0.001054038,0.0005726546,0.0009334979,0.001398195,0.001193638,0.002777909],"category_scores_gemma":[0.008534634,0.0003214228,0.0005227565,0.0007189031,0.000301401,0.0006788744,0.0006869248,0.001082733,0.0006435736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008925259,"about_ca_system_score_gemma":0.002552528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006217968,"about_ca_topic_score_gemma":0.004992909,"domain_scores_codex":[0.9993507,0.0002267497,0.00007434224,0.0001456814,0.0001365278,0.00006597346],"domain_scores_gemma":[0.997236,0.001886105,0.000164023,0.00006896671,0.0005227659,0.0001221953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009226287,0.0007143522,0.01355035,0.00014778,0.0001487592,0.0002620254,0.0001272587,0.4036414,0.001931644,0.001856756,0.00919995,0.5674971],"study_design_scores_gemma":[0.00007735964,0.00008138416,0.0005656334,0.00001466541,0.00002031984,0.0000499651,0.00001198276,0.9970457,0.0004097019,0.001296964,0.0004200419,0.000006244116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1639253,0.000715341,0.8251601,0.002283784,0.0002275938,0.0005364825,0.0006432812,0.003379633,0.003128384],"genre_scores_gemma":[0.6471209,0.0002121498,0.3492278,0.0005054469,0.000124044,0.0004674896,0.0008649558,0.00006036835,0.001416896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006217968,"threshold_uncertainty_score":0.01236355,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3109627850","doi":"10.1016/j.cvdhj.2020.11.005","title":"A virtual platform to deliver ambulatory care for patients with atrial fibrillation","year":2020,"lang":"en","type":"article","venue":"Cardiovascular Digital Health Journal","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University; University of Ottawa","funders":"","keywords":"Medicine; Atrial fibrillation; Emergency department; Ambulatory; Observational study; Quality of life (healthcare); Patient satisfaction; Emergency medicine; Cohort; Prospective cohort study; Ambulatory care; Randomized controlled trial; Internal medicine; Physical therapy; Health care; Surgery","authors":[{"name":"Willy Weng","is_ca":true},{"name":"Chris M. Blanchard","is_ca":true},{"name":"Jennifer L. Reed","is_ca":true},{"name":"Kara Matheson","is_ca":true},{"name":"Ciorsti McIntyre","is_ca":true},{"name":"Chris Gray","is_ca":true},{"name":"John L. Sapp","is_ca":true},{"name":"Martin J. Gardner","is_ca":true},{"name":"Amir AbdelWahab","is_ca":true},{"name":"Jason Yung","is_ca":true},{"name":"Ratika Parkash","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03847447482390437,"gpt":0.2890482038373339,"spread":0.2505737290134296,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002432677,0.0003218695,0.0004022856,0.0004863367,0.0004523335,0.00100007,0.0006392198,0.0004314123,0.004936027],"category_scores_gemma":[0.006218095,0.0001218319,0.0008982663,0.0003743923,0.0003649763,0.0007606949,0.001417477,0.0006632404,0.0003974862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004638114,"about_ca_system_score_gemma":0.0009544925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007062727,"about_ca_topic_score_gemma":0.001486555,"domain_scores_codex":[0.9979857,0.001168987,0.0001522044,0.0001521719,0.0003040056,0.0002369591],"domain_scores_gemma":[0.9957389,0.001427742,0.001080241,0.0002194557,0.0002384852,0.001295301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01625571,0.02437586,0.2317223,0.003556107,0.00164057,0.0004432329,0.0009340225,0.002982671,0.003623376,0.0009457758,0.01406518,0.6994552],"study_design_scores_gemma":[0.03478901,0.2850866,0.5933229,0.002917724,0.002921937,0.003354052,0.002383078,0.01484431,0.003585082,0.002434277,0.05410524,0.0002556975],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9864241,0.004620402,0.001621301,0.001580456,0.000265372,0.001005979,0.0005627243,0.00009953673,0.003820015],"genre_scores_gemma":[0.9884301,0.00224755,0.005497859,0.001030968,0.0003807248,0.001412587,0.0004835302,0.00001234057,0.0005043368],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004936027,"threshold_uncertainty_score":0.01651269,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391756491","doi":"10.1016/j.cvdhj.2024.02.001","title":"Advancing telemedicine in cardiology: A comprehensive review of evolving practices and outcomes in a postpandemic context","year":2024,"lang":"en","type":"review","venue":"Cardiovascular Digital Health Journal","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Telemedicine; Context (archaeology); Telehealth; Pandemic; Medicine; Health care; Medical emergency; Coronavirus disease 2019 (COVID-19); Disease; Pathology; Political science; Infectious disease (medical specialty)","authors":[{"name":"Katherine Huerne","is_ca":true},{"name":"Mark J. Eisenberg","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07038745334691555,"gpt":0.4354645671741454,"spread":0.3650771138272299,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002859616,0.0007612384,0.001793849,0.00662209,0.0004506269,0.001712637,0.0009082296,0.001214689,0.00253166],"category_scores_gemma":[0.007772722,0.0003914142,0.001881838,0.007596948,0.0005807288,0.002087459,0.001066366,0.001417071,0.0004073174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678667,"about_ca_system_score_gemma":0.004688484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004248823,"about_ca_topic_score_gemma":0.008684188,"domain_scores_codex":[0.9984791,0.0004351756,0.0005044778,0.0001653154,0.0003349188,0.0000810203],"domain_scores_gemma":[0.9921595,0.005614721,0.001084807,0.00007609993,0.0008849364,0.0001799658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001264787,0.00008137882,0.001830138,0.1806418,0.0004926816,0.0002145351,0.0005866967,0.0003139528,0.0002776514,0.001546285,0.01472208,0.7991664],"study_design_scores_gemma":[0.00006957899,0.0006947268,0.0271539,0.4084747,0.003714156,0.003778479,0.00165532,0.0003213016,0.0003498718,0.001885773,0.5517702,0.0001320347],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002488957,0.9990226,0.00005234611,0.0002965382,0.00007967545,0.00001056177,0.00003152805,0.000002702142,0.0002550239],"genre_scores_gemma":[0.0009672444,0.9985895,0.0001447196,0.0001478723,0.00007969188,0.00001198654,0.00002701131,9.350536e-7,0.00003107833],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00662209,"threshold_uncertainty_score":0.01512331,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4393972157","doi":"10.1016/j.cvdhj.2024.03.006","title":"A smartwatch-based CPR feedback device improves chest compression quality among health care professionals and lay rescuers","year":2024,"lang":"en","type":"article","venue":"Cardiovascular Digital Health Journal","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Columbia College","funders":"National Heart, Lung, and Blood Institute; SUNY Downstate Medical Center; National Institutes of Health; State University of New York","keywords":"Smartwatch; Health professionals; Quality (philosophy); Compression (physics); Medicine; Medical emergency; Health care; Physical medicine and rehabilitation; Computer science; Psychology; Wearable computer; Embedded system; Materials science","authors":[{"name":"Adam S. LaPrad","is_ca":false},{"name":"Bridgid Joseph","is_ca":false},{"name":"Sara Chokshi","is_ca":false},{"name":"Kelly Aldrich","is_ca":false},{"name":"David Kessler","is_ca":true},{"name":"Beno W. Oppenheimer","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02687872102449335,"gpt":0.3471358430877606,"spread":0.3202571220632673,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008115662,0.0003114826,0.000343565,0.000186265,0.0001133983,0.0002310896,0.0001564957,0.0003678832,0.002864122],"category_scores_gemma":[0.002515023,0.0001195737,0.0002291848,0.00005088464,0.0001651996,0.0001834498,0.0002225144,0.000237703,0.0002326551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007992717,"about_ca_system_score_gemma":0.0001318687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001954222,"about_ca_topic_score_gemma":0.0003336272,"domain_scores_codex":[0.9996073,0.0001450475,0.00003348066,0.00006445152,0.0001147111,0.00003500925],"domain_scores_gemma":[0.9992136,0.000423367,0.0001452176,0.00002901555,0.00008344617,0.0001053399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.05147155,0.04328291,0.1316908,0.003136963,0.0006648172,0.0003470645,0.003231894,0.0009865758,0.3568374,0.0001091893,0.002141177,0.4060996],"study_design_scores_gemma":[0.007365184,0.3018223,0.6387199,0.0003032374,0.000541992,0.0005278836,0.001220785,0.003497266,0.0435077,0.00008484109,0.002359239,0.00004968342],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992722,0.00009845202,0.000292889,0.00002917514,0.00000709083,0.00007960138,0.00001702164,0.00001274636,0.0001907123],"genre_scores_gemma":[0.9967248,0.0002061568,0.002216209,0.00008217087,0.00002166611,0.0001458768,0.00007195684,0.000003169022,0.0005280694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002864122,"threshold_uncertainty_score":0.009581447,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4317521034","doi":"10.1016/j.cvdhj.2022.10.007","title":"Clinician use of data elements from cardiovascular implantable electronic devices in clinical practice","year":2023,"lang":"en","type":"article","venue":"Cardiovascular Digital Health Journal","topic":"Cardiac pacing and defibrillation studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Biosense Webster; Indiana University; Dairy Farmers of Canada; Heart Rhythm Society; American College of Cardiology Foundation; Medtronic","keywords":"Medicine; Snowball sampling; Clinical Practice; Medical emergency; Family medicine; Pathology","authors":[{"name":"Carly Daley","is_ca":false},{"name":"Amanda Coupe","is_ca":false},{"name":"Tina Allmandinger","is_ca":false},{"name":"Jonathan Shirazi","is_ca":false},{"name":"Shauna Wagner","is_ca":false},{"name":"Michelle Drouin","is_ca":false},{"name":"Ryan Ahmed","is_ca":false},{"name":"Tammy Toscos","is_ca":false},{"name":"Michael Mirro","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1739288742070513,"gpt":0.4335885160769099,"spread":0.2596596418698586,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02391229,0.0002539781,0.0004012925,0.00327903,0.0007913543,0.003382061,0.0007557098,0.0008381911,0.002288246],"category_scores_gemma":[0.1994963,0.0004119111,0.0004193068,0.003023008,0.00107204,0.003123164,0.003214458,0.001061728,0.0007337008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001396548,"about_ca_system_score_gemma":0.002675161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001799974,"about_ca_topic_score_gemma":0.00240924,"domain_scores_codex":[0.950864,0.02707061,0.01157501,0.002155358,0.007551666,0.0007833566],"domain_scores_gemma":[0.654843,0.2143583,0.09329471,0.008682969,0.02178681,0.007034295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001850689,0.0001339582,0.8279194,0.001929693,0.0001407492,0.0006279318,0.05363991,0.0002228001,0.001351348,0.0005055421,0.006640092,0.1067035],"study_design_scores_gemma":[0.00006226016,0.0007554647,0.8074226,0.006929136,0.0001723323,0.00500247,0.1072423,0.001568618,0.001950686,0.002518613,0.06616396,0.0002115036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616596,0.005818245,0.003881996,0.01480176,0.0001907905,0.0003596742,0.00274291,0.0001200164,0.010425],"genre_scores_gemma":[0.9855475,0.003230911,0.00673412,0.002760123,0.000128917,0.0002141989,0.0009956376,0.00002947332,0.0003591796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02391229,"threshold_uncertainty_score":0.1264618,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392962483","doi":"10.1016/j.cvdhj.2024.03.003","title":"Determinants of global cardiac implantable electrical device remote monitoring utilization – Results from an international survey","year":2024,"lang":"en","type":"article","venue":"Cardiovascular Digital Health Journal","topic":"Cardiac pacing and defibrillation studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Environmental science","authors":[{"name":"Bert Vandenberk","is_ca":false},{"name":"Neal Ferrick","is_ca":false},{"name":"Elaine Y. Wan","is_ca":false},{"name":"Sanjiv M. Narayan","is_ca":false},{"name":"Aileen M. Ferrick","is_ca":false},{"name":"Satish R. Raj","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07595819703905925,"gpt":0.3885155211464422,"spread":0.3125573241073829,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001161751,0.000247234,0.0002013502,0.0007717178,0.0001138375,0.0004293812,0.0002405676,0.0003278658,0.001487015],"category_scores_gemma":[0.001924115,0.0001811443,0.0004976544,0.001214996,0.0002597173,0.0005166816,0.0006170745,0.0004420682,0.0002062979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001744038,"about_ca_system_score_gemma":0.000175951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004125298,"about_ca_topic_score_gemma":0.003220915,"domain_scores_codex":[0.9994292,0.0002099486,0.00008017552,0.0001079367,0.00007663093,0.00009615943],"domain_scores_gemma":[0.9980926,0.0003607504,0.001043168,0.0001151794,0.0001435045,0.0002448401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002699142,0.00002806064,0.9983261,0.0000111988,0.00003185223,0.00001790654,0.00009818496,0.00006996129,0.00005030364,0.00001332201,0.0001239158,0.001202172],"study_design_scores_gemma":[0.000001906417,0.00003643794,0.9995245,0.0000062018,0.000007907668,0.00003507469,0.0001672152,0.0001001012,0.00001157239,0.000007074064,0.0001005398,0.000001638559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980093,0.000211649,0.000109558,0.00008727607,0.000002776989,0.00001150916,0.0008770679,0.000003890074,0.0006870414],"genre_scores_gemma":[0.9989718,0.0001413083,0.00006754921,0.00004085786,0.000005229203,0.00001084693,0.0006763588,0.000002117363,0.00008381483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004125298,"threshold_uncertainty_score":0.008202553,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392130294","doi":"10.1016/j.cvdhj.2024.02.003","title":"Visions for digital integrated cardiovascular care: HRS Digital Health Committee perspectives","year":2024,"lang":"en","type":"article","venue":"Cardiovascular Digital Health Journal","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Vancouver General Hospital","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; Boston Scientific Corporation; National Institute on Aging; University of Washington; Mayo Clinic; Children's Discovery Institute; American Heart Association","keywords":"Vision; Health care; Digital health; Biometrics; Computer science; Data science; Risk analysis (engineering); Internet privacy; Medicine; Computer security; Political science; Sociology","authors":[{"name":"Sanjiv M. Narayan","is_ca":false},{"name":"Elaine Y. Wan","is_ca":false},{"name":"Jason G. Andrade","is_ca":true},{"name":"Jennifer N. Avari Silva","is_ca":false},{"name":"Neal K. Bhatia","is_ca":false},{"name":"Thomas Deneke","is_ca":false},{"name":"Abhishek Deshmukh","is_ca":false},{"name":"Ki H. Chon","is_ca":false},{"name":"Lori Erickson","is_ca":false},{"name":"Hamid Ghanbari","is_ca":false},{"name":"Peter A. Noseworthy","is_ca":false},{"name":"Rajeev K. Pathak","is_ca":false},{"name":"Lisa Roelle","is_ca":false},{"name":"Amber Seiler","is_ca":false},{"name":"Jagmeet P. Singh","is_ca":false},{"name":"Uma N. Srivatsa","is_ca":false},{"name":"Anthony Trela","is_ca":false},{"name":"Angela Tsiperfal","is_ca":false},{"name":"Niraj Varma","is_ca":false},{"name":"Omair Yousuf","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0755970425802603,"gpt":0.386846705530175,"spread":0.3112496629499147,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01707756,0.0006418463,0.0005128447,0.001501756,0.002559354,0.01350728,0.002033816,0.01284659,0.02243382],"category_scores_gemma":[0.01711549,0.0002738846,0.0009805752,0.001206516,0.00565858,0.0106626,0.007123455,0.01414465,0.005749211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005427208,"about_ca_system_score_gemma":0.01690838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007327685,"about_ca_topic_score_gemma":0.006354116,"domain_scores_codex":[0.994794,0.001571845,0.0003441642,0.0004428718,0.001772231,0.001074988],"domain_scores_gemma":[0.9811291,0.003205352,0.0006689337,0.001293647,0.004722277,0.008980711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004320679,0.000196267,0.001161589,0.0002129176,0.00002062672,0.0001851975,0.0004551342,0.00039644,0.0002927228,0.1836042,0.691472,0.1219597],"study_design_scores_gemma":[0.00002906634,0.0001064779,0.001776406,0.001014407,0.00002019613,0.0003470871,0.00139414,0.0007439291,0.0002876915,0.08471564,0.9095114,0.00005360617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0009834721,0.01380741,0.002724036,0.9416385,0.01015158,0.00002869989,0.0001775703,0.0001487986,0.03033997],"genre_scores_gemma":[0.1335796,0.09858019,0.02433645,0.6208958,0.05823693,0.0003776714,0.001191376,0.0002526789,0.06254934],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02243382,"threshold_uncertainty_score":0.09031588,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4364381577","doi":"10.1016/j.cvdhj.2023.04.001","title":"The inaugural 2022 HRX meeting: A patient-centered digital health meeting for the acceleration of cardiovascular innovation","year":2023,"lang":"en","type":"article","venue":"Cardiovascular Digital Health Journal","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Acceleration; Digital health; Aeronautics; Engineering; Computer science; Physics; Health care; Political science","authors":[{"name":"Sana M. Al‐Khatib","is_ca":false},{"name":"Jagmeet P. Singh","is_ca":false},{"name":"Nassir Marrouche","is_ca":false},{"name":"David D. McManus","is_ca":false},{"name":"Andrew D. Krahn","is_ca":true},{"name":"Patricia Blake","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1352850502720602,"gpt":0.376734202820314,"spread":0.2414491525482538,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009778883,0.001045387,0.0005070082,0.000652716,0.005218212,0.009956685,0.001496266,0.005423882,0.09062959],"category_scores_gemma":[0.01044038,0.000554435,0.0007794077,0.000321367,0.001341758,0.004575562,0.01040112,0.01175354,0.03517069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001942721,"about_ca_system_score_gemma":0.004481374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001405519,"about_ca_topic_score_gemma":0.004211118,"domain_scores_codex":[0.9947335,0.002353926,0.0001996427,0.0004813646,0.001321243,0.0009103205],"domain_scores_gemma":[0.9874921,0.001325291,0.0004674548,0.0004351944,0.001430953,0.008848968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001246958,0.0001463103,0.0006228436,0.0002011808,0.000008820429,0.0002282448,0.001734432,0.00003541241,0.001287279,0.004854985,0.9439042,0.04685162],"study_design_scores_gemma":[0.0000327293,0.000117082,0.001944632,0.0001336731,0.000004040116,0.0001456573,0.00120121,0.00009062948,0.0002672902,0.0007686931,0.9952716,0.00002275959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.02180344,0.01832015,0.01582667,0.3752723,0.1856593,0.001262919,0.00252983,0.002990419,0.3763349],"genre_scores_gemma":[0.1356524,0.008976896,0.02890206,0.120199,0.07411674,0.001439706,0.003867284,0.001725297,0.6251206],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.09062959,"threshold_uncertainty_score":0.3031862,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389788873","doi":"10.1016/j.cvdhj.2023.11.015","title":"ACCURACY OF A NEW WIRELESS HEART RATE MONITORING SYSTEM IN THE NEONATAL INTENSIVE CARE UNIT","year":2023,"lang":"en","type":"article","venue":"Cardiovascular Digital Health Journal","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Montreal Children's Hospital; McGill University","funders":"","keywords":"Neonatal intensive care unit; Medicine; Gestational age; Heart rate; Intensive care; Anthropometry; Wireless; Correlation coefficient; Pediatrics; Computer science; Statistics; Telecommunications; Internal medicine; Intensive care medicine; Pregnancy; Mathematics; Blood pressure","authors":[{"name":"Eva Sénéchal","is_ca":true},{"name":"Daniel Radeschi","is_ca":true},{"name":"Emily Jeanne","is_ca":true},{"name":"Shasha Lv","is_ca":true},{"name":"Wissam Shalish","is_ca":true},{"name":"Robert E. Kearney","is_ca":true},{"name":"Guilherme SantʼAnna","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09241880004539056,"gpt":0.3881352426080906,"spread":0.2957164425627001,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001374565,0.0005613677,0.0006092713,0.0006783453,0.0002557115,0.0009123267,0.0008860936,0.0009258739,0.00114222],"category_scores_gemma":[0.004512529,0.0002212149,0.0002543462,0.0005028574,0.0001907833,0.0007641038,0.0006414992,0.0005167612,0.0007694931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004654517,"about_ca_system_score_gemma":0.0003902014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001537254,"about_ca_topic_score_gemma":0.001394758,"domain_scores_codex":[0.9981001,0.0003798806,0.0001884335,0.0004423278,0.0008082378,0.00008100832],"domain_scores_gemma":[0.9980981,0.00045201,0.0002216097,0.0001596076,0.000990871,0.00007777777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00336679,0.0002968254,0.2303476,0.001146995,0.0003479427,0.001226135,0.0007801581,0.006016892,0.3027427,0.0007587651,0.006640051,0.4463293],"study_design_scores_gemma":[0.0003660727,0.005104148,0.4091095,0.0003767498,0.001174848,0.006077938,0.0005474711,0.2144209,0.3372406,0.0005778065,0.02472244,0.0002814602],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8403733,0.005756197,0.1394429,0.001036133,0.001465756,0.0002795346,0.001646036,0.003574976,0.006425195],"genre_scores_gemma":[0.9592031,0.001004806,0.03624168,0.0004878926,0.0002090605,0.0001469957,0.0005512498,0.00007095039,0.002084297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001537254,"threshold_uncertainty_score":0.007269442,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}