{"id":"W3107340398","doi":"","title":"COVID-19: Five Learnings that Could Transform Ontario Healthcare","year":2020,"lang":"en","type":"article","venue":"Insights (Essays)","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Health care; Pandemic; Medicine; Economic growth; Economics; Infectious disease (medical specialty); Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01650544,0.0006783615,0.0004828644,0.001296882,0.02742288,0.02000389,0.003181677,0.01595497,0.02428955],"category_scores_gemma":[0.0309309,0.0004871561,0.001031212,0.001336909,0.01796509,0.0053059,0.01230411,0.01701296,0.00290513],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1322201,"about_ca_system_score_gemma":0.3033569,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8321292,"about_ca_topic_score_gemma":0.9585168,"domain_scores_codex":[0.9854745,0.002627193,0.0003487002,0.0005912412,0.005254432,0.005704035],"domain_scores_gemma":[0.9587461,0.007731833,0.000661015,0.001076111,0.009286606,0.02249829],"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":[0.00003296207,0.00006049594,0.001139407,0.00009040178,0.00001011134,0.0002521229,0.0104542,0.00007792652,0.0001441718,0.08981073,0.8853354,0.01259205],"study_design_scores_gemma":[0.00002942428,0.00002111528,0.002952546,0.0002069873,0.00001190892,0.0000414505,0.01583376,0.00009515972,0.0001273502,0.01146692,0.969172,0.00004130927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.007868852,0.001661486,0.0006905109,0.810115,0.01006364,0.0001260645,0.0004201832,0.00008876107,0.1689655],"genre_scores_gemma":[0.1205184,0.002172481,0.002661316,0.3064878,0.003994625,0.000270341,0.0003575406,0.0001969994,0.5633405],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8677799,"threshold_uncertainty_score":0.9593285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1383392516796428,"score_gpt":0.4094528378079755,"score_spread":0.2711135861283328,"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."}}