{"id":"W3048974740","doi":"10.36834/cmej.70202","title":"COVID 19 pandemic: An opportunity to investigate medical professionalism","year":2020,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Innovations in Medical Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Betacoronavirus; Data science; Computer science; Medicine; Outbreak; Infectious disease (medical specialty); Pathology; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.01367824,0.0007721882,0.0006830326,0.00201945,0.01290081,0.01094075,0.001750322,0.02437478,0.02050617],"category_scores_gemma":[0.02458884,0.0005645488,0.0009837722,0.001175011,0.007801894,0.01077673,0.01620463,0.02338238,0.003876744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009746192,"about_ca_system_score_gemma":0.03851164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03037402,"about_ca_topic_score_gemma":0.1094013,"domain_scores_codex":[0.9911823,0.002560004,0.0002331831,0.000367035,0.002642473,0.003014981],"domain_scores_gemma":[0.9616835,0.009508556,0.001385887,0.001107828,0.004660795,0.02165345],"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":[0.00004460484,0.00008980031,0.001199626,0.0001241118,0.000007267103,0.000412942,0.001354193,0.00002247628,0.0002408773,0.008243067,0.9664795,0.02178151],"study_design_scores_gemma":[0.00006992334,0.000136649,0.006493018,0.0006020585,0.0000132022,0.0003510638,0.009991858,0.0000923269,0.0002169994,0.01097939,0.9709777,0.00007588103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001759865,0.007010154,0.00023387,0.9434787,0.02546703,0.00006745367,0.0004391872,0.0001035667,0.02144011],"genre_scores_gemma":[0.06543756,0.01444316,0.003502766,0.8404818,0.03559792,0.0003326047,0.0008608521,0.0001741827,0.03916917],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03037402,"threshold_uncertainty_score":0.07233828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1302121068952283,"score_gpt":0.4284525022985491,"score_spread":0.2982403954033208,"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."}}