{"id":"W2940284440","doi":"10.1080/03007995.2019.1608101","title":"Ghostwriting in biomedicine: a review of the published literature","year":2019,"lang":"en","type":"review","venue":"Current Medical Research and Opinion","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Medical Association","keywords":"Medicine; Relevance (law); Consistency (knowledge bases); Publishing; Computer science; Law; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.04710603,0.002168272,0.006567804,0.03903198,0.001671305,0.006101618,0.003551156,0.003900502,0.004690812],"category_scores_gemma":[0.141734,0.002093825,0.005938842,0.03873849,0.002906962,0.00902407,0.0037347,0.002802723,0.0009142307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00692974,"about_ca_system_score_gemma":0.02493222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004787966,"about_ca_topic_score_gemma":0.01417729,"domain_scores_codex":[0.9515991,0.01663264,0.01929505,0.002745497,0.008907015,0.0008206586],"domain_scores_gemma":[0.7409704,0.1968656,0.03918314,0.003442981,0.01763207,0.001905635],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001104074,0.00001866328,0.001142483,0.906517,0.002181961,0.000287258,0.0007737731,0.0001074222,0.0002324187,0.000530212,0.005859877,0.08223867],"study_design_scores_gemma":[0.00004636816,0.00008389258,0.002503305,0.9583412,0.007000926,0.0006940439,0.0005695432,0.00007387857,0.0001223442,0.0007240002,0.02980222,0.00003815618],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002637049,0.9982914,0.0001220194,0.0008021208,0.0002610727,0.00006497207,0.00006787114,0.000007173241,0.0001196787],"genre_scores_gemma":[0.005511096,0.9918669,0.0007736885,0.001124353,0.0003496792,0.0002009309,0.0001007834,0.000009028625,0.00006371029],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9960995,"threshold_uncertainty_score":0.2491235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8005847108475234,"score_gpt":0.72599677644244,"score_spread":0.07458793440508338,"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."}}