{"id":"W2336811319","doi":"10.11603/2312-0967.2015.3.4932","title":"АНАЛІЗ НОМЕНКЛАТУРИ СЕДАТИВНИХ ТА СНОДІЙНИХ ПРЕПАРАТІВ В УКРАЇНІ","year":2015,"lang":"en","type":"article","venue":"Фармацевтичний часопис","topic":"Medicinal Plant Extracts Effects","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Population; Traditional medicine; Pharmacology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001403615,0.0006678827,0.001115421,0.0004597733,0.0001449548,0.00008227849,0.0004489849,0.0004376416,0.0007986017],"category_scores_gemma":[0.002094732,0.0005595449,0.0002663377,0.0007336187,0.0002598465,0.0003870242,0.000180994,0.0009843576,0.004650929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003596498,"about_ca_system_score_gemma":0.0007572469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002334403,"about_ca_topic_score_gemma":0.00004131227,"domain_scores_codex":[0.9951757,0.0001984325,0.0008182236,0.0009379563,0.001662011,0.001207731],"domain_scores_gemma":[0.9956421,0.0004481873,0.0002684525,0.001320482,0.0004345905,0.001886186],"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":[0.00291178,0.00164176,0.05396651,0.001157235,0.0005985826,0.007324689,0.00266953,0.00005883223,0.02261697,0.005124429,0.8739101,0.02801951],"study_design_scores_gemma":[0.01570131,0.004360859,0.04290928,0.001567158,0.000994522,0.006489532,0.001292649,0.001638529,0.01493074,0.001784793,0.9064884,0.001842274],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6860271,0.003033798,0.0005644008,0.006320717,0.002893278,0.001830242,0.00004759612,0.0009999808,0.2982829],"genre_scores_gemma":[0.9694059,0.00008956141,0.00195327,0.005888338,0.002188107,0.00007953671,0.000247104,0.0001597737,0.01998834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2833789,"threshold_uncertainty_score":0.9996856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08356452868168167,"score_gpt":0.3328701037912096,"score_spread":0.2493055751095279,"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."}}