{"id":"W2137713946","doi":"10.1353/pbm.2002.0028","title":"Conflicting Interests in Toronto: Anatomy of a Controversy at the Interface of Academia and Industry","year":2002,"lang":"en","type":"article","venue":"Perspectives in biology and medicine","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University College of the North","funders":"","keywords":"Redress; Action (physics); Conflict of interest; Academic freedom; Law; Public interest; Public relations; Sociology; Political science; Higher education","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009089864,0.0001368178,0.0003929829,0.00006758495,0.00006569699,8.207997e-7,0.0001240976,0.001078699,0.001857065],"category_scores_gemma":[0.0005664518,0.00009426396,0.00001892756,0.0001196911,0.001885425,0.00005590108,0.0001249099,0.002531798,8.157692e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001501951,"about_ca_system_score_gemma":0.00001478629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007255774,"about_ca_topic_score_gemma":0.000910899,"domain_scores_codex":[0.9985299,0.0005155067,0.0003949973,0.0002472592,0.00004595983,0.0002663381],"domain_scores_gemma":[0.9984461,0.001145677,0.0001466611,0.00009149116,0.00004670088,0.0001233503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001173431,0.0002428457,0.8513054,0.0001631229,0.0001638793,0.00001942486,0.04728275,0.000007992769,0.04028569,0.04129636,0.0008085321,0.01725059],"study_design_scores_gemma":[0.02916982,0.003045616,0.5844123,0.001283899,0.0003744936,0.0003404982,0.2556152,0.006523907,0.04518232,0.006961069,0.06624372,0.0008470817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9329411,0.04785401,0.000002228277,0.01135163,0.0001753848,0.0002466211,0.00001839033,0.000006789036,0.007403848],"genre_scores_gemma":[0.9919311,0.006712823,0.00000577241,0.001011975,0.00009309695,0.00001233373,0.000001399369,0.00000493712,0.0002265574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.266893,"threshold_uncertainty_score":0.9997694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2703596775349756,"score_gpt":0.6344406848550869,"score_spread":0.3640810073201113,"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."}}