{"id":"W3090010123","doi":"10.1016/j.cjca.2020.07.173","title":"USING CORHEALTH CARDIAC REGISTRY DATA TO MONITOR AND COMPARE CARDIAC ACTIVITY ACROSS ONTARIO IN REAL TIME DURING THE COVID-19 PANDEMIC","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Cardiac surgery; Pandemic; Emergency medicine; Coronavirus disease 2019 (COVID-19); Medical emergency; Cardiology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00124538,0.0003338891,0.0003909922,0.001585047,0.001535748,0.001623088,0.0007957386,0.0005806109,0.001220714],"category_scores_gemma":[0.006513467,0.000325854,0.0006150444,0.004090229,0.0005078129,0.0006592875,0.001351466,0.0005392815,0.0002973826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01902247,"about_ca_system_score_gemma":0.02566476,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9892095,"about_ca_topic_score_gemma":0.9945483,"domain_scores_codex":[0.9981565,0.0002860403,0.0001346465,0.0002946398,0.0005699369,0.000558158],"domain_scores_gemma":[0.9955967,0.000404833,0.001254069,0.0002175184,0.001864074,0.0006629149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002076634,0.00006383208,0.9866502,0.00006716738,0.0001434478,0.00006314801,0.001156446,0.0005815046,0.0002483479,0.0001716662,0.004279941,0.006366459],"study_design_scores_gemma":[0.00002300803,0.00003372669,0.9941342,0.00003243934,0.00003769358,0.00001755939,0.001413113,0.0009086705,0.00005839611,0.00003585725,0.003292362,0.00001292811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601811,0.0004192974,0.0007062431,0.001293124,0.0000426472,0.0002380027,0.02936571,0.00005565534,0.007698194],"genre_scores_gemma":[0.9865447,0.0002969258,0.0009928694,0.0002474358,0.00001938808,0.0001548873,0.01019465,0.00001645179,0.001532653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01902247,"threshold_uncertainty_score":0.1380183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2765184704048562,"score_gpt":0.4348164403125014,"score_spread":0.1582979699076453,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}