{"id":"W3016087136","doi":"10.1016/j.cjca.2020.04.006","title":"Post-Discharge Cardiac Care in the Era of Coronavirus 2019: How Should We Prepare?","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Heart Research Centre; University of Ottawa; University of British Columbia","funders":"","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Gynecology; Disease; Internal medicine; Infectious disease (medical specialty); Virology; Outbreak","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.008158162,0.0005938151,0.001208455,0.001283087,0.004951182,0.01118411,0.003063131,0.009371734,0.0160671],"category_scores_gemma":[0.06845982,0.0004553178,0.001536676,0.0009133906,0.00200952,0.008542465,0.00650671,0.01670028,0.003422407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00784546,"about_ca_system_score_gemma":0.06094582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06329916,"about_ca_topic_score_gemma":0.1435471,"domain_scores_codex":[0.9927372,0.002180284,0.0005872642,0.0003799454,0.001234092,0.002881215],"domain_scores_gemma":[0.9590966,0.005076609,0.003272321,0.0005646637,0.007661818,0.02432803],"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":[0.0002946806,0.001326491,0.06360568,0.001831941,0.0002913451,0.001837897,0.00543761,0.0006296675,0.0004443366,0.009135835,0.731537,0.1836274],"study_design_scores_gemma":[0.0005260846,0.001083884,0.3987747,0.02676904,0.0004647025,0.00132895,0.1009948,0.001189629,0.0006486081,0.029246,0.4382038,0.0007696901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01340612,0.01134856,0.0003792113,0.9577392,0.008882,0.00008620017,0.0005427661,0.00009257079,0.007523376],"genre_scores_gemma":[0.3943861,0.08363874,0.007799514,0.4662238,0.0367901,0.000860824,0.003031254,0.0003301931,0.006939439],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06329916,"threshold_uncertainty_score":0.1258615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07612438093692361,"score_gpt":0.3514385535337434,"score_spread":0.2753141725968198,"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."}}