{"id":"W3045309574","doi":"10.1136/bmjopen-2019-032425","title":"Reporting of conflicts of interest by authors of primary studies on health policy and systems research: a cross-sectional survey","year":2020,"lang":"en","type":"review","venue":"BMJ Open","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; McMaster University; University of Toronto","funders":"Faculty of Medicine, American University of Beirut; American University of Beirut","keywords":"Medicine; Conflict of interest; Family medicine; Cross-sectional study; Data extraction; MEDLINE; Pathology; Political science; 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":["metaresearch"],"category_scores_codex":[0.2445475,0.0006864546,0.002745719,0.01454013,0.001734968,0.004743252,0.001845063,0.001843815,0.004952089],"category_scores_gemma":[0.4622368,0.001538079,0.003233746,0.01645443,0.002250152,0.007918963,0.004381906,0.00178959,0.001054855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003603666,"about_ca_system_score_gemma":0.008636127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001451954,"about_ca_topic_score_gemma":0.002367963,"domain_scores_codex":[0.6619264,0.123189,0.1660364,0.01143129,0.03470156,0.002715266],"domain_scores_gemma":[0.2435598,0.421985,0.2418833,0.02027852,0.06864498,0.003648384],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007861013,0.0001678718,0.8928622,0.03884359,0.003356486,0.000337173,0.01393044,0.0001855702,0.0005193355,0.001694128,0.008812564,0.03850453],"study_design_scores_gemma":[0.0009014235,0.001943537,0.8123327,0.06205553,0.004866269,0.00371786,0.03688186,0.001258694,0.003190451,0.005403151,0.06708039,0.0003681678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7563055,0.1034042,0.02618765,0.01155008,0.001014899,0.02109432,0.06540915,0.0001820706,0.01485207],"genre_scores_gemma":[0.9148579,0.01763755,0.02391149,0.004746473,0.0004619227,0.02913424,0.00830612,0.00007782259,0.0008664743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9981562,"threshold_uncertainty_score":0.9316075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9810456214246932,"score_gpt":0.7978595529964089,"score_spread":0.1831860684282843,"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."}}