{"id":"W3125912455","doi":"","title":"How Pharmaceutical Industry Funding Affects Trial Outcomes: Causal Structures and Responses","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Pharmaceutical industry; Context (archaeology); Clinical trial; Business; Publication bias; Conflict of interest; Accounting; Actuarial science; MEDLINE; Medicine; Political science; Finance; Pharmacology; 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"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4565071,0.0009866252,0.003046853,0.006034749,0.001877218,0.005696353,0.002378069,0.006932559,0.00777003],"category_scores_gemma":[0.7984588,0.0013603,0.005852882,0.008602993,0.008906832,0.007768577,0.006914694,0.008254705,0.0007804214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004549559,"about_ca_system_score_gemma":0.005997848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003780354,"about_ca_topic_score_gemma":0.002095757,"domain_scores_codex":[0.3581097,0.5471915,0.04319249,0.01974107,0.02475779,0.007007524],"domain_scores_gemma":[0.04296389,0.8681977,0.06756163,0.01353653,0.006704248,0.00103604],"domain_codex":"methods","domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006029881,0.0005832842,0.854575,0.005484854,0.01270502,0.0003356156,0.00984366,0.003285789,0.0002294751,0.03602286,0.004368054,0.06653651],"study_design_scores_gemma":[0.003181457,0.002333137,0.6065904,0.006352162,0.0187891,0.0008212028,0.007662702,0.02203196,0.002256184,0.3149695,0.01459835,0.000413793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7097091,0.04083908,0.07603838,0.1356509,0.001295005,0.005867056,0.006147592,0.0003503499,0.02410249],"genre_scores_gemma":[0.9824735,0.001805736,0.006497704,0.005307362,0.0005572671,0.002235218,0.0005002027,0.00005038535,0.0005725423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5434929,"threshold_uncertainty_score":0.6702236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3833032345569637,"score_gpt":0.5317476603087853,"score_spread":0.1484444257518216,"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."}}