{"id":"W2810738791","doi":"10.1017/cjn.2018.222","title":"P.120 Conflict of interest in neurosurgery: an analysis of disclosure policies in neurosurgical journals","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Biotech (Canada); Calgary Laboratory Services","funders":"","keywords":"Declaration; Transparency (behavior); Neurosurgery; Conflict of interest; Impact factor; Enforcement; Accounting; Ranking (information retrieval); Medicine; Publishing; Political science; Family medicine; Business; Law; Surgery; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01228632,0.0002513066,0.0003581315,0.01151711,0.001178733,0.003610135,0.0008938747,0.0006103439,0.005321632],"category_scores_gemma":[0.1478887,0.0002548419,0.0007223981,0.02040032,0.001547108,0.00348314,0.00238228,0.000862192,0.0006575164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002072157,"about_ca_system_score_gemma":0.005279358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004790818,"about_ca_topic_score_gemma":0.003906775,"domain_scores_codex":[0.9774761,0.004650493,0.007294001,0.001075808,0.008395372,0.001108318],"domain_scores_gemma":[0.6339008,0.1386967,0.1922458,0.005681173,0.02203226,0.007443277],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009167215,0.00003025798,0.974113,0.0005768806,0.0001039109,0.0001731533,0.001328289,0.00007737073,0.00007438123,0.0006794546,0.003411764,0.01933973],"study_design_scores_gemma":[0.00001268825,0.00007330194,0.9838358,0.00112234,0.00007879284,0.001271219,0.004075511,0.0002864882,0.0002059642,0.0007753381,0.008237229,0.00002531373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9520911,0.0148947,0.001516667,0.008691005,0.0003078691,0.0003428824,0.01106461,0.00006497031,0.01102616],"genre_scores_gemma":[0.9927467,0.002900048,0.0009994337,0.0005508291,0.0002248883,0.00009442817,0.001982829,0.00001955434,0.0004813476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9993896,"threshold_uncertainty_score":0.06497705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5613334359611243,"score_gpt":0.5246973942070763,"score_spread":0.036636041754048,"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."}}