{"id":"W7125940447","doi":"10.37903/vsgma.2025.4.24","title":"РАЗРАБОТКА УСЛОВИЙ СПЕКТРОФОТОМЕТРИЧЕСКОГО ОПРЕДЕЛЕНИЯ ФЛАВОНОИДОВ ЗОЛОТАРНИКА КАНАДСКОГО ТРАВЫ","year":2025,"lang":"ru","type":"article","venue":"Вестник Смоленской государственной медицинской академии","topic":"Heavy Metals in Plants","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quantitative analysis (chemistry); Herb; Statistical analysis; Research Object; Quantitative assessment","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":[0.003126564,0.0007521263,0.0006126956,0.002292919,0.003513918,0.009773792,0.001308278,0.002219496,0.03801882],"category_scores_gemma":[0.008045535,0.0007793434,0.0008266864,0.00183985,0.00578353,0.005791836,0.003340364,0.00272551,0.01330109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004086321,"about_ca_system_score_gemma":0.008036107,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006314059,"about_ca_topic_score_gemma":0.005746109,"domain_scores_codex":[0.9943101,0.001313121,0.0002852915,0.001011735,0.002555536,0.0005241197],"domain_scores_gemma":[0.9949377,0.001325828,0.0005382553,0.0007273008,0.001962278,0.0005086577],"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":[0.0001035162,0.00007950987,0.002682932,0.0005530016,0.00004692035,0.000444613,0.004689179,0.001034639,0.005689157,0.8766647,0.01526876,0.09274315],"study_design_scores_gemma":[0.00005239561,0.00009441667,0.00533557,0.0005487158,0.000083903,0.0008323744,0.00548107,0.001788644,0.007908096,0.3133686,0.6643677,0.0001385821],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03713751,0.01194099,0.08265875,0.0172329,0.001813748,0.0002669694,0.0009396372,0.0004811915,0.8475282],"genre_scores_gemma":[0.6204449,0.01488459,0.09725357,0.002877635,0.001037467,0.0009168534,0.001220156,0.000631196,0.2607337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.993686,"threshold_uncertainty_score":0.1271856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339017335452849,"score_gpt":0.2954618831036456,"score_spread":0.2820717097491172,"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."}}