{"id":"W3025581164","doi":"10.1016/j.cjca.2020.05.009","title":"Optimizing Access to Heart Failure Care in Canada During the COVID-19 Pandemic","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; McMaster University; University of Toronto; University of Waterloo; Canadian VIGOUR Centre; University of Alberta; Université de Montréal; University of British Columbia; Montreal Heart Institute; University of Ottawa; Libin Cardiovascular Institute of Alberta; University of Calgary; Telus (Canada)","funders":"Canadian Institutes of Health Research; Medtronic; Novartis; AstraZeneca","keywords":"Medicine; Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus Infections; Medical emergency; Betacoronavirus; Heart failure; Emergency medicine; Virology; Intensive care medicine; Cardiology; Internal medicine; Outbreak; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001644287,0.0002569092,0.0004408396,0.0009198481,0.005372189,0.004095191,0.001615073,0.001698156,0.004937707],"category_scores_gemma":[0.0101258,0.000305211,0.0006141572,0.001674701,0.001364925,0.001114582,0.002871672,0.003916746,0.0002268019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1035475,"about_ca_system_score_gemma":0.2235393,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.992519,"about_ca_topic_score_gemma":0.9970623,"domain_scores_codex":[0.9959667,0.0004028406,0.000138884,0.0002155158,0.0006416216,0.002634505],"domain_scores_gemma":[0.9866434,0.0005510842,0.0008744647,0.00009640653,0.002422294,0.009412327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008773911,0.0007986216,0.582593,0.0007227865,0.0003759757,0.001952993,0.008647789,0.004311403,0.0009748038,0.01572747,0.243996,0.1390218],"study_design_scores_gemma":[0.0002364936,0.0002066412,0.8953153,0.00136403,0.0001589055,0.0004041704,0.01687481,0.003566297,0.0002098119,0.002608335,0.078887,0.0001683535],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5335092,0.01268534,0.0008788242,0.3734893,0.001965564,0.0004368695,0.009469179,0.0001474747,0.06741831],"genre_scores_gemma":[0.9633686,0.004231131,0.001543634,0.02534036,0.0005266969,0.00009960727,0.001660548,0.00004807056,0.00318133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1035475,"threshold_uncertainty_score":0.7512932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03801159069774763,"score_gpt":0.2817178461321442,"score_spread":0.2437062554343966,"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."}}