{"id":"W2137034258","doi":"10.1136/jme.2003.005702","title":"Biomedical conflicts of interest: a defence of the sequestration thesis—learning from the cases of Nancy Olivieri and David Healy","year":2004,"lang":"en","type":"article","venue":"Journal of Medical Ethics","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Context (archaeology); Political science; Public relations; Engineering ethics; Sociology; Law and economics; Environmental ethics; Management; Economics; Engineering; History; Philosophy","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","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.006590528,0.000124166,0.0003974739,0.00004385562,0.0001661959,0.000006392455,0.0005356169,0.001317403,0.000258519],"category_scores_gemma":[0.0120814,0.0000692502,0.0001273038,0.0002016938,0.001955828,0.00007463805,0.0001274119,0.00829042,8.655633e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003618387,"about_ca_system_score_gemma":0.001904014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002668526,"about_ca_topic_score_gemma":0.000106164,"domain_scores_codex":[0.9958143,0.00184003,0.001003368,0.0001125879,0.001018975,0.0002107234],"domain_scores_gemma":[0.9914448,0.006669035,0.0008861803,0.0001282088,0.0004662979,0.0004054893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007442224,0.006487015,0.2208053,0.006999462,0.003487177,0.001781085,0.1736663,0.001860345,0.2385748,0.1723913,0.002749109,0.1637559],"study_design_scores_gemma":[0.02352987,0.008764164,0.1573078,0.02402804,0.003512724,0.004626417,0.02430261,0.004286541,0.5327624,0.05970357,0.1560073,0.001168524],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.927951,0.002882052,0.0001829662,0.06815933,0.0005920991,0.0001259883,0.0000319194,0.000004269621,0.00007041512],"genre_scores_gemma":[0.9910458,0.004594862,0.00009037295,0.003946472,0.000304886,0.000001491507,0.000001986228,0.000006530553,0.000007632168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2941876,"threshold_uncertainty_score":0.9999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7297793189986983,"score_gpt":0.601639539662305,"score_spread":0.1281397793363933,"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."}}