{"id":"W2165699858","doi":"10.1186/1472-6939-2-1","title":"Clinical ethics revisited","year":2001,"lang":"en","type":"article","venue":"BMC Medical Ethics","topic":"Ethics in medical practice","field":"Health Professions","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"De Veber; University of Toronto","funders":"","keywords":"Philosophy of medicine; Engineering ethics; Clinical Ethics; Information ethics; Applied ethics; Nursing ethics; Research ethics; Perspective (graphical); Medical ethics; Field (mathematics); Military medical ethics; Meta-ethics; Medicine; Political science; Alternative medicine; Law; Engineering; Pathology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","research_integrity","insufficient_payload"],"category_scores_codex":[0.2187721,0.0003363209,0.00082095,0.0001182679,0.00301011,0.0000218739,0.001329307,0.01300169,0.01734886],"category_scores_gemma":[0.9289324,0.0002767917,0.0002712921,0.0007455032,0.00241846,0.0002042038,0.0007950094,0.1345326,0.007724506],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001637476,"about_ca_system_score_gemma":0.03407104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003158921,"about_ca_topic_score_gemma":0.007698455,"domain_scores_codex":[0.9200926,0.06749293,0.002930644,0.00093485,0.007241271,0.001307719],"domain_scores_gemma":[0.2243232,0.7686456,0.0008692477,0.001622888,0.002041571,0.002497522],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004419061,0.0005838998,0.1999961,0.00563207,0.0001070699,0.0005078801,0.01098613,0.000001878332,0.000005899734,0.6524346,0.1241187,0.005183787],"study_design_scores_gemma":[0.002572778,0.0001778734,0.01042902,0.005755228,0.0001175631,0.00005368178,0.003930134,0.0007698727,8.59351e-7,0.08973949,0.8859544,0.0004990553],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00998497,0.001542225,0.1860316,0.4414684,0.01212168,0.001415095,0.00001595383,0.001164092,0.3462559],"genre_scores_gemma":[0.1445493,0.09462323,0.03508928,0.6935147,0.01427466,0.000182694,0.0001080316,0.000220117,0.01743806],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.7618358,"threshold_uncertainty_score":0.9999684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4975575211729197,"score_gpt":0.6575735971404454,"score_spread":0.1600160759675257,"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."}}