{"id":"W3035088115","doi":"","title":"Providing 24/7 healthcare for all during the COVID-19 pandemic","year":2021,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Betacoronavirus; Data science; Computer science; Health care; Coronavirus Infections; Medicine; Virology; Political science; Outbreak; Infectious disease (medical specialty); Pathology; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002731141,0.000430063,0.0004181917,0.001183031,0.01263064,0.004480128,0.001563748,0.003510701,0.02559111],"category_scores_gemma":[0.01043794,0.0003103636,0.0009222518,0.001548653,0.002477279,0.001503546,0.004668082,0.006434071,0.001638433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06272738,"about_ca_system_score_gemma":0.2209332,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9584703,"about_ca_topic_score_gemma":0.9855276,"domain_scores_codex":[0.9919513,0.00065162,0.0001200105,0.0001767228,0.001845311,0.005254983],"domain_scores_gemma":[0.982798,0.0005167119,0.0006465326,0.0001985458,0.003342816,0.01249741],"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":[0.0001278512,0.0001890326,0.04784224,0.00030022,0.00008041773,0.0009767843,0.004391159,0.0003754292,0.0005139326,0.01999507,0.8444473,0.0807606],"study_design_scores_gemma":[0.00006252476,0.000118353,0.1600215,0.001506632,0.00006525698,0.000375663,0.01833503,0.0001480995,0.0001858186,0.003088553,0.8159995,0.0000930634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.04578189,0.006866825,0.0002434439,0.6220441,0.007502624,0.0002196689,0.004240089,0.000148583,0.3129528],"genre_scores_gemma":[0.552527,0.01985337,0.002167374,0.3416724,0.005017925,0.0002503509,0.004174516,0.0001744676,0.07416265],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06272738,"threshold_uncertainty_score":0.4551211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1415010109098103,"score_gpt":0.3801676136481216,"score_spread":0.2386666027383112,"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."}}