{"id":"W3040345322","doi":"10.1016/j.jclinepi.2020.06.040","title":"Assessing concordance of financial conflicts of interest disclosures with payments’ databases: a systematic survey of the health literature","year":2020,"lang":"en","type":"review","venue":"Journal of Clinical Epidemiology","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Impact","funders":"American University of Beirut","keywords":"Concordance; Conflict of interest; Payment; MEDLINE; Systematic review; Medicine; Database; Actuarial science; Accounting; Meta-analysis; Family medicine; Finance; Business; Political science; Internal medicine; Computer science","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":[0.04311948,0.0009494016,0.006851347,0.03382105,0.0006849471,0.00428543,0.002648755,0.002165997,0.00433259],"category_scores_gemma":[0.2289834,0.001007373,0.007691402,0.03049537,0.001754083,0.005109762,0.00399626,0.001706514,0.0003216524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002298699,"about_ca_system_score_gemma":0.009443005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004494376,"about_ca_topic_score_gemma":0.01581664,"domain_scores_codex":[0.898178,0.02406753,0.05538338,0.008203119,0.01320427,0.0009637356],"domain_scores_gemma":[0.5889133,0.3094958,0.0803108,0.006372189,0.01372879,0.001179194],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0009306091,0.00006818751,0.08853964,0.7442485,0.07178099,0.0003366325,0.001434829,0.0002776819,0.0004274228,0.001162434,0.005040257,0.08575281],"study_design_scores_gemma":[0.0007809839,0.0003175648,0.173125,0.582599,0.1923954,0.00202571,0.00275534,0.0005638135,0.0006468564,0.00168732,0.04284244,0.0002606333],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02176914,0.9640617,0.000919981,0.001130037,0.0002153055,0.0004255024,0.01062953,0.00002671578,0.0008221956],"genre_scores_gemma":[0.2512259,0.7266508,0.006345556,0.0022209,0.0003034186,0.001410754,0.01152423,0.00005724286,0.0002612268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.997834,"threshold_uncertainty_score":0.2280403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9216621055580043,"score_gpt":0.7231068243185425,"score_spread":0.1985552812394619,"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."}}