{"id":"W3169176333","doi":"10.1016/j.cjco.2021.05.015","title":"An Evaluation of Cardiology Virtual Care During the COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"CJC Open","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; Population Health Research Institute; McMaster University; Health Sciences Centre","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Health care; Medicine; Telemedicine; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medical emergency; Family medicine; Internal medicine; Disease; Virology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009598355,0.00005885331,0.0002368709,0.00003294107,0.0001074653,0.000009494132,0.000126097,0.0000420236,0.0004435063],"category_scores_gemma":[0.0004454883,0.00004194832,0.00002707092,0.0001321649,0.00003974595,0.00007243082,0.00007066424,0.00009295375,0.000005898092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001906979,"about_ca_system_score_gemma":0.001042513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003187809,"about_ca_topic_score_gemma":0.0003218964,"domain_scores_codex":[0.9988457,0.000338082,0.0002347992,0.0001716144,0.000282632,0.0001271589],"domain_scores_gemma":[0.9990883,0.00007539421,0.0000830038,0.0003282698,0.0003086758,0.0001163784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002423543,0.0000283448,0.9154325,0.0002072185,0.0001078695,0.00004180736,0.007441722,0.0003683472,0.01491875,0.0002768793,0.002716795,0.05821748],"study_design_scores_gemma":[0.01132764,0.0008035725,0.8907295,0.00003828496,0.0005326815,0.0006046768,0.0460092,0.0002018887,0.004139261,0.0002073601,0.04528147,0.0001244245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948559,0.0003544811,0.0001919603,0.001690429,0.0001313894,0.0008208338,0.00001889168,0.0000156825,0.001920467],"genre_scores_gemma":[0.9970021,0.00004675666,0.00007889656,0.002164009,0.0002443786,0.00007403702,0.0002900577,0.000007994604,0.00009172119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05809306,"threshold_uncertainty_score":0.4856083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1514360688382502,"score_gpt":0.4790860796884872,"score_spread":0.3276500108502369,"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."}}