{"id":"W4255101143","doi":"10.1093/jcag/gwab002.087","title":"A89 CHARACTERISTICS AND CONFLICTS OF INTEREST AT FOOD AND DRUG ADMINISTRATION GASTROINTESTINAL DRUG ADVISORY COMMITTEE MEETINGS","year":2021,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Advisory committee; Food and drug administration; Voting; Family medicine; Conflict of interest; Medicine; Political science; Environmental health; Public administration; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009011652,0.0001605807,0.0003958087,0.002494083,0.0008749823,0.001260914,0.0008285058,0.0006502567,0.01033036],"category_scores_gemma":[0.03740911,0.000221221,0.0004701824,0.003323998,0.0002769312,0.0009054254,0.0008185312,0.001026219,0.001250574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008235347,"about_ca_system_score_gemma":0.001217485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002012494,"about_ca_topic_score_gemma":0.003613001,"domain_scores_codex":[0.9851816,0.005610012,0.002941011,0.001378007,0.003847294,0.001041971],"domain_scores_gemma":[0.85751,0.03135315,0.09149058,0.003048601,0.008416021,0.00818166],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002367425,0.0001190825,0.9870554,0.0001062548,0.00008713615,0.00007068065,0.0002928503,0.00007305208,0.0001705412,0.0000980587,0.003860435,0.007829721],"study_design_scores_gemma":[0.00001945309,0.000111338,0.9945417,0.00006847265,0.00002573819,0.0001928537,0.0004757755,0.000197053,0.00009839189,0.00006440635,0.004196845,0.00000797589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791471,0.001977625,0.000729093,0.001768914,0.00008552888,0.0003102525,0.005295236,0.00002676548,0.01065939],"genre_scores_gemma":[0.9955604,0.0003638164,0.0006653069,0.0002058044,0.0001544137,0.0002901167,0.001414661,0.00001063408,0.001334808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9993498,"threshold_uncertainty_score":0.04765874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1588189419339548,"score_gpt":0.3991719545525111,"score_spread":0.2403530126185563,"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."}}