{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007564395,0.0003319774,0.0009773304,0.0008523635,0.0001768735,0.00001583046,0.0006311613,0.000466169,0.007402083],"category_scores_gemma":[0.00927195,0.0002394073,0.0002104923,0.001407654,0.0020001,0.00009952703,0.0002244525,0.0007575229,0.00002550702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002722643,"about_ca_system_score_gemma":0.0005079518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007147552,"about_ca_topic_score_gemma":0.00004436342,"domain_scores_codex":[0.9948528,0.0009167829,0.001852274,0.000694307,0.0008859862,0.0007977821],"domain_scores_gemma":[0.9937152,0.002422584,0.0004626724,0.0002938555,0.002540295,0.0005654451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01615293,0.00388473,0.07753596,0.002738559,0.00634849,0.0001412312,0.002005986,0.0003076593,0.3616243,0.1008398,0.08991263,0.3385077],"study_design_scores_gemma":[0.009391155,0.0006681088,0.01586402,0.0009498975,0.001691385,0.00002045016,0.0004051412,0.0081206,0.09237269,0.001194277,0.8688654,0.0004569092],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4930434,0.001159473,0.006617489,0.4905209,0.001937937,0.002002951,0.0005814566,0.000103082,0.004033312],"genre_scores_gemma":[0.9889112,0.0006472389,0.004901643,0.003493097,0.0004675332,0.0001354663,0.0001421246,0.00003120653,0.00127049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7789527,"threshold_uncertainty_score":0.9990734,"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."}}