{"id":"W7081996346","doi":"10.54296/18186173_2025_2_22","title":"ВЛИЯНИЕ ПРЕДВАРИТЕЛЬНОЙ ОБРАБОТКИ НА СОДЕРЖАНИЕ ФЛАВОНОИДОВ ПРИ ПОЛУЧЕНИИ ЭКСТРАКЦИОННЫХ ЛЕКАРСТВЕННЫХ ФОРМ ЗОЛОТАРНИКА КАНАДСКОГО ТРАВЫ","year":2025,"lang":"ru","type":"article","venue":"Традиционная медицина","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Herb; Medicinal plants; Extraction (chemistry)","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":[0.002857663,0.000860546,0.0005796266,0.002374622,0.004740738,0.01213939,0.00122895,0.002715454,0.0367566],"category_scores_gemma":[0.007886069,0.0008206024,0.0009610348,0.002172464,0.009536816,0.006971034,0.003856338,0.003507831,0.01248456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00567523,"about_ca_system_score_gemma":0.008867897,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008541212,"about_ca_topic_score_gemma":0.008718185,"domain_scores_codex":[0.9946975,0.001419306,0.0002566052,0.0009380187,0.002123141,0.0005654806],"domain_scores_gemma":[0.9956064,0.00116067,0.0004324693,0.0007675805,0.001575802,0.0004571262],"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":[0.00004400912,0.00004173293,0.001182677,0.0002147405,0.0000247878,0.0002868983,0.004547643,0.0006065682,0.001935542,0.9476274,0.009095078,0.03439291],"study_design_scores_gemma":[0.00003617303,0.00005586652,0.003857495,0.0003988136,0.00005430153,0.0005619099,0.006841496,0.00107691,0.003448727,0.4816666,0.5018993,0.0001024453],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02812681,0.006744943,0.0657771,0.01688916,0.001069347,0.0001770184,0.0006620757,0.0003866932,0.8801668],"genre_scores_gemma":[0.6327177,0.01062404,0.08835592,0.002656863,0.0007749007,0.0007116458,0.000770267,0.000712479,0.2626761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9914588,"threshold_uncertainty_score":0.1229631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163427005252919,"score_gpt":0.235526920942209,"score_spread":0.2238926508896798,"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."}}