{"id":"W3082855138","doi":"10.1093/phe/phaa026","title":"A Harm Reduction Approach to the Ethical Management of the COVID-19 Pandemic","year":2020,"lang":"en","type":"article","venue":"Public Health Ethics","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; McGill University","keywords":"Pandemic; Context (archaeology); Harm; Enforcement; Agency (philosophy); Harm reduction; Political science; Coronavirus disease 2019 (COVID-19); Law and economics; Phase (matter); Public relations; Business; Law; Sociology; Medicine; Public health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.05800822,0.001098368,0.0006561396,0.00324124,0.01818487,0.01715475,0.003599279,0.01775675,0.005484115],"category_scores_gemma":[0.02969765,0.000520618,0.001143823,0.001252205,0.0903185,0.009852094,0.01457737,0.01953675,0.0009606878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01858565,"about_ca_system_score_gemma":0.03359321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007078242,"about_ca_topic_score_gemma":0.01025515,"domain_scores_codex":[0.9460539,0.04344877,0.0009650792,0.001644268,0.005465057,0.002423001],"domain_scores_gemma":[0.9636772,0.02438248,0.001937291,0.002017166,0.004515441,0.003470382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007405107,0.00005703343,0.0001407582,0.00003886146,0.000005987592,0.00009486685,0.006307414,0.0007637592,0.00008475707,0.9831778,0.005708431,0.003612898],"study_design_scores_gemma":[0.0000243576,0.00003503265,0.0001889971,0.0002720199,0.000006940293,0.00009852125,0.007333694,0.001608272,0.0001836066,0.9237924,0.06642623,0.00002989331],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01270464,0.003661664,0.1134901,0.5798107,0.002991584,0.0004443422,0.00004649845,0.00008972646,0.2867607],"genre_scores_gemma":[0.8221449,0.002781744,0.07698181,0.05624783,0.003069864,0.001004385,0.0000377658,0.00009928002,0.03763239],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05800822,"threshold_uncertainty_score":0.3067805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5898207858782535,"score_gpt":0.5363773438083091,"score_spread":0.05344344206994434,"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."}}