{"id":"W3127416579","doi":"10.12688/wellcomeopenres.16568.1","title":"Top five ethical lessons of COVID-19 that the world must learn","year":2021,"lang":"en","type":"preprint","venue":"Wellcome Open Research","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Western University","funders":"Wellcome Trust; World Health Organization","keywords":"Bioethics; Pandemic; Context (archaeology); Moral obligation; Coronavirus disease 2019 (COVID-19); Political science; Public relations; Engineering ethics; Economic growth; Law; Medicine; Geography; Disease; Infectious disease (medical specialty); Engineering; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.05109208,0.0007973474,0.0007118169,0.0007839272,0.01469608,0.0187321,0.001548264,0.009595902,0.004771901],"category_scores_gemma":[0.05813649,0.0004322376,0.0007901679,0.0008524127,0.02591536,0.01429652,0.01327481,0.029509,0.00139465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005560949,"about_ca_system_score_gemma":0.02304799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002771112,"about_ca_topic_score_gemma":0.003812202,"domain_scores_codex":[0.9451958,0.03884338,0.001660185,0.001784249,0.008871225,0.003645235],"domain_scores_gemma":[0.9297628,0.0360413,0.003366719,0.003821561,0.01009266,0.01691491],"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":[0.00008248747,0.000241677,0.003458071,0.0009076426,0.0000449813,0.001607623,0.2599565,0.0004206849,0.001196786,0.2064145,0.3955634,0.1301057],"study_design_scores_gemma":[0.00001574494,0.00009459515,0.0007617621,0.001446396,0.00001384711,0.001384018,0.147417,0.0002174314,0.0005358403,0.08520669,0.7628182,0.00008848388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01237832,0.007894298,0.007277272,0.9230198,0.008536182,0.0001043175,0.0000682119,0.0001175146,0.04060407],"genre_scores_gemma":[0.4418402,0.0207709,0.02925967,0.4599961,0.005503558,0.0004179862,0.0002338685,0.0004166565,0.04156116],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05109208,"threshold_uncertainty_score":0.2702039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4116996440403407,"score_gpt":0.5460304077690596,"score_spread":0.134330763728719,"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."}}