{"id":"W1969267341","doi":"10.1007/s11024-009-9121-7","title":"Moral Economies in Science: From Ideal to Pragmatic","year":2009,"lang":"en","type":"article","venue":"Minerva","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Genome Canada","keywords":"Moral economy; Ideal (ethics); Rational choice theory (criminology); Sociology; Politics; Positive economics; Political economy; Economy; Economics; Epistemology; Social science; Political science; Law; Criminology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["sts"],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["sts"],"domain":null,"study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009247534,0.0001767454,0.0002654988,0.0001986648,0.0002061475,0.00003805352,0.0004291803,0.0002810979,0.001826065],"category_scores_gemma":[0.0002058899,0.0001712399,0.00004303212,0.0005193116,0.0002166839,0.0002470216,0.00007433782,0.000982151,0.0006192756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001886785,"about_ca_system_score_gemma":0.0002119561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001896345,"about_ca_topic_score_gemma":0.000141417,"domain_scores_codex":[0.9982178,0.0001756635,0.0003853083,0.0003834412,0.0001429756,0.000694873],"domain_scores_gemma":[0.9988381,0.0002028288,0.00005496094,0.0001958941,0.00005824655,0.0006499401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001287016,0.001679114,0.2660708,0.00009820151,0.00009487483,0.0005087175,0.008749898,0.00491553,0.2381968,0.03361571,0.0596835,0.3850998],"study_design_scores_gemma":[0.005477999,0.0008067889,0.5368295,0.000161825,0.0001423007,0.00004352454,0.001043521,0.03023402,0.08575996,0.03950909,0.2986529,0.001338632],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540406,0.0003511557,0.000006038289,0.02327241,0.0006591739,0.0003498243,0.00005881884,0.00006374251,0.02119818],"genre_scores_gemma":[0.9756846,0.00002148904,0.0004213355,0.02270752,0.0003698907,0.00002611626,0.00001341757,0.000007771581,0.0007478205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3837612,"threshold_uncertainty_score":0.9990864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3737967941856472,"score_gpt":0.5503004603391944,"score_spread":0.1765036661535472,"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."}}