{"id":"W2461618135","doi":"10.20538/1682-0363-2016-1-60-68","title":"ANALYSIS OF SCIENTIFIC RESEARCHES IN PHARMACEUTICAL PROMOTION GLOBALLY: TOWARDS INTERNATIONALLY DEVELOPING PRACTICALLY-ORIENTED GUIDELINES FOR PHARMACEUTICAL COMPANIES","year":2016,"lang":"en","type":"article","venue":"Bulletin of Siberian Medicine","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Pharmaceutical marketing; Context (archaeology); Pharmaceutical industry; Marketing; Business; Multinational corporation; Scientific literature; Biotechnology; Political science","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2047721,0.001707971,0.002643552,0.02810743,0.003455434,0.02002012,0.004350715,0.0041387,0.002670407],"category_scores_gemma":[0.3118464,0.0009670394,0.00161434,0.01561021,0.006227111,0.01276234,0.009206138,0.00550975,0.001244396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007488604,"about_ca_system_score_gemma":0.04753483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002901525,"about_ca_topic_score_gemma":0.004777237,"domain_scores_codex":[0.7967868,0.1039303,0.05416727,0.008092015,0.03465972,0.002363898],"domain_scores_gemma":[0.462637,0.3225032,0.04697089,0.0316871,0.1293285,0.006873272],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001837052,0.0005501345,0.02782806,0.03472375,0.0004696368,0.001164105,0.03033327,0.002052575,0.005393445,0.08758525,0.04845307,0.7612631],"study_design_scores_gemma":[0.0001641894,0.0004688273,0.05422269,0.1020702,0.001399601,0.001467368,0.06600235,0.004253143,0.006766969,0.1910441,0.5717791,0.0003614306],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06748311,0.152091,0.3906678,0.2704413,0.006691187,0.01838732,0.004379099,0.002211196,0.08764802],"genre_scores_gemma":[0.2559724,0.03412487,0.6796091,0.01450585,0.001477278,0.007843534,0.002379206,0.0002991141,0.003788597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7952279,"threshold_uncertainty_score":0.9806576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6584742117811411,"score_gpt":0.6199252364805038,"score_spread":0.03854897530063728,"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."}}