{"id":"W7096663508","doi":"","title":"Enforcement of codes governing","year":2016,"lang":"en","type":"article","venue":"","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enforcement; Sanctions; Promotion (chess); Pharmaceutical industry; Code (set theory); Quality (philosophy); Strengths and weaknesses","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.07797948,0.0003988131,0.0006556161,0.002658468,0.007304652,0.01206489,0.003764401,0.01062533,0.003798235],"category_scores_gemma":[0.2143781,0.0008696089,0.0006296076,0.002471178,0.01425188,0.005715947,0.004429636,0.01592451,0.001699351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01594685,"about_ca_system_score_gemma":0.05454349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1099287,"about_ca_topic_score_gemma":0.07130632,"domain_scores_codex":[0.8878183,0.02718773,0.008650695,0.007508725,0.06041967,0.008414897],"domain_scores_gemma":[0.7348275,0.1082691,0.03143472,0.02310935,0.09006476,0.01229462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006762129,0.0001520038,0.01580716,0.000273469,0.00004099026,0.0006693184,0.00818405,0.0006962934,0.0009770708,0.4586596,0.3474534,0.167019],"study_design_scores_gemma":[0.000050011,0.00007483901,0.01387214,0.00170629,0.00003416617,0.0007085527,0.004023333,0.001568854,0.001596186,0.07010334,0.9061034,0.0001588255],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.03391903,0.01386594,0.0224166,0.6805917,0.008265341,0.0003573061,0.0003726442,0.0006498696,0.2395615],"genre_scores_gemma":[0.5698271,0.01079919,0.02224826,0.3107127,0.006327838,0.0006262388,0.0008020961,0.0004746007,0.07818194],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9962018,"threshold_uncertainty_score":0.4123998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5610502908194784,"score_gpt":0.5900244955581281,"score_spread":0.02897420473864964,"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."}}