{"id":"W2260423659","doi":"","title":"Разработка усовершенствованной технологии выделения и очистки полимиксина В","year":2014,"lang":"ru","type":"article","venue":"Биофармацевтический журнал","topic":"Veterinary medicine and infectious diseases","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pharmacopoeia; Polymyxin B; Polymyxin; Antibiotics; Fermentation; Microbiology; Medicine; Food science; Chemistry; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.002178243,0.0005431421,0.0007034111,0.002456506,0.002177808,0.007020569,0.0009034305,0.001852718,0.01930752],"category_scores_gemma":[0.004072179,0.0008020843,0.0006914233,0.002478636,0.003529642,0.003102492,0.00203491,0.002236573,0.009974775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002911778,"about_ca_system_score_gemma":0.004760825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003626741,"about_ca_topic_score_gemma":0.003216932,"domain_scores_codex":[0.9962236,0.0006845716,0.0001670882,0.0007290744,0.001787776,0.0004078564],"domain_scores_gemma":[0.9972854,0.000780764,0.0003512011,0.0004215338,0.0008869535,0.0002741573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004624611,0.0002037539,0.00572105,0.001683617,0.00009914171,0.001146355,0.003372268,0.003431648,0.08869752,0.4586023,0.02118481,0.4153951],"study_design_scores_gemma":[0.00005287526,0.0002441553,0.008859737,0.0005048307,0.00009737135,0.001659246,0.002424886,0.002394896,0.06607655,0.166169,0.751274,0.0002424739],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1146679,0.09440678,0.1497188,0.01785469,0.003426764,0.0003148707,0.002311151,0.0008331698,0.6164659],"genre_scores_gemma":[0.7030578,0.05312366,0.1191865,0.001860148,0.0009166711,0.000767014,0.001574479,0.0006826416,0.1188311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01930752,"threshold_uncertainty_score":0.0645901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03910154987355446,"score_gpt":0.3135812432875745,"score_spread":0.2744796934140201,"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."}}