{"id":"W1543146895","doi":"10.1111/j.1742-1241.2010.02398.x","title":"Statistics in drug advertising: what they reveal is suggestive what they hide is vital","year":2010,"lang":"en","type":"letter","venue":"International Journal of Clinical Practice","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto; York University","funders":"","keywords":"Citation; Medicine; Library science; Media studies; Sociology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0083724,0.000632244,0.001341849,0.0003942715,0.0001743095,0.0006449302,0.001977253,0.005266935,0.003344972],"category_scores_gemma":[0.01301948,0.0005691468,0.0006195098,0.0001332708,0.0004832349,0.004889835,0.0003609917,0.05549629,0.0004428235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003675751,"about_ca_system_score_gemma":0.001546424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002036268,"about_ca_topic_score_gemma":0.00009376115,"domain_scores_codex":[0.9881214,0.004358231,0.004165378,0.0007140962,0.00181912,0.0008217433],"domain_scores_gemma":[0.9619675,0.02945952,0.004272488,0.0003775024,0.003204803,0.0007181859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00350786,0.0009557831,0.002216028,0.00008605612,0.001507329,0.01467636,0.002002314,0.00002149276,0.0000557123,0.0001599534,0.8722987,0.1025124],"study_design_scores_gemma":[0.003051843,0.000296397,0.0005458702,0.0008716722,0.0007265666,0.001686521,0.001005928,0.0001781144,0.000426034,0.006676754,0.9840045,0.0005298153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01271883,0.002549618,0.00006464717,0.9436211,0.03774062,0.0004124757,0.0006904021,0.00002411434,0.002178168],"genre_scores_gemma":[0.03440475,0.03146368,0.002075805,0.907409,0.02173213,0.00001153828,0.0001440933,0.00008850505,0.002670543],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1117058,"threshold_uncertainty_score":0.999676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3791698810916802,"score_gpt":0.6268707213916727,"score_spread":0.2477008402999925,"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."}}