{"id":"W4390574525","doi":"10.36834/cmej.78208","title":"Revealing and commemorating the faces and warmth of the COVID-19 frontline","year":2023,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus Infections; Biology; Virology; Medicine; Outbreak; Pathology; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0150084,0.0006850584,0.0006782484,0.001335562,0.01147272,0.01232977,0.001486999,0.01047364,0.04415383],"category_scores_gemma":[0.05431698,0.0004700414,0.0005432594,0.0008736894,0.007858681,0.006259367,0.009756542,0.01527707,0.01565764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0164049,"about_ca_system_score_gemma":0.04739664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1338374,"about_ca_topic_score_gemma":0.2274811,"domain_scores_codex":[0.9792783,0.004807798,0.0006111145,0.0006711127,0.01007324,0.004558308],"domain_scores_gemma":[0.953977,0.007703693,0.002724843,0.001210739,0.01807635,0.01630736],"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":[0.00003104788,0.00001138525,0.0003474126,0.0001126509,0.000003169708,0.0001193954,0.002072532,0.00001410731,0.000221137,0.005393016,0.9742785,0.01739554],"study_design_scores_gemma":[0.000005151835,0.00001392279,0.000837987,0.0002646341,0.00000235381,0.00008338798,0.002686242,0.00001045608,0.0001282017,0.0008286591,0.9951211,0.00001794607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001437036,0.009178157,0.0006497168,0.8729379,0.0601569,0.00007009597,0.000277562,0.0001683916,0.05512422],"genre_scores_gemma":[0.08091809,0.02123527,0.004573734,0.5413578,0.03850262,0.0001911418,0.0006386479,0.0006448612,0.3119379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1338374,"threshold_uncertainty_score":0.2661169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.043070688069591,"score_gpt":0.3868913377956985,"score_spread":0.3438206497261075,"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."}}