{"id":"W2268689149","doi":"","title":"Individual Researcher Conflict of Interest in Biomedical Research: What Can Be Done About it?","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","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":"Bioethics; Set (abstract data type); Conflict of interest; Political science; Public relations; Engineering ethics; Medical research; Psychology; Law; Medicine; Engineering; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.1566836,0.001243604,0.003421519,0.004408437,0.01174609,0.03423918,0.005696053,0.02875435,0.006251791],"category_scores_gemma":[0.2928319,0.001357083,0.002298992,0.005313029,0.05973563,0.05074862,0.009144693,0.03622187,0.002634175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01242634,"about_ca_system_score_gemma":0.04672061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01200596,"about_ca_topic_score_gemma":0.0197082,"domain_scores_codex":[0.8256388,0.114138,0.01095567,0.005264144,0.03994081,0.004062519],"domain_scores_gemma":[0.5773033,0.35927,0.01103398,0.009105024,0.0363682,0.006919488],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000461066,0.00009096612,0.001547859,0.003799792,0.0001038087,0.0008244027,0.02390831,0.0002524479,0.0001332171,0.3900059,0.3919994,0.1872879],"study_design_scores_gemma":[0.00003856316,0.00007352881,0.001353084,0.0154089,0.00009814819,0.002027039,0.01859397,0.0003351021,0.000189375,0.3259526,0.6357275,0.0002021398],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0003318802,0.06685473,0.002808345,0.901453,0.0204129,0.00004018748,0.00001406755,0.00003257164,0.008052259],"genre_scores_gemma":[0.04351697,0.227018,0.02078383,0.62479,0.07379054,0.0004771326,0.00007654443,0.0001762525,0.009370874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9712456,"threshold_uncertainty_score":0.828632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7663828150435815,"score_gpt":0.6060761070661985,"score_spread":0.160306707977383,"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."}}