{"id":"W2029960450","doi":"10.1007/s00299-004-0862-3","title":"A metabolomic analysis of medicinal diversity in Huang-qin (Scutellaria baicalensis Georgi) genotypes: discovery of novel compounds","year":2004,"lang":"en","type":"article","venue":"Plant Cell Reports","topic":"Flavonoids in Medical Research","field":"Medicine","cited_by":91,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Phenomenome Discoveries (Canada); Nova Scotia Department of Agriculture","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scutellaria baicalensis; Baicalein; Wogonin; Baicalin; Biology; Germplasm; Metabolomics; Traditional medicine; Medicinal plants; Hyperforin; Metabolite; Hypericum perforatum; Botany; Traditional Chinese medicine; Pharmacology; Biochemistry; Chemistry; Bioinformatics; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001593885,0.000200947,0.001213895,0.0008957589,0.00005293447,0.000007214766,0.0001919955,0.0002036077,0.0001394569],"category_scores_gemma":[0.001154144,0.0001635276,0.0003161032,0.001346038,0.0003953195,0.00008463969,0.0003627739,0.0004730759,0.000002508263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002219165,"about_ca_system_score_gemma":0.0005142486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003811313,"about_ca_topic_score_gemma":0.0004125119,"domain_scores_codex":[0.9964942,0.00006250924,0.001022527,0.0004857508,0.001520217,0.0004148242],"domain_scores_gemma":[0.998077,0.0004134145,0.0004193219,0.0006530971,0.0001885002,0.0002487167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001094118,0.00308638,0.5166008,0.0007361395,0.002282108,0.006299784,0.001875503,0.001649209,0.4652001,0.0003532359,0.0004672386,0.0003553593],"study_design_scores_gemma":[0.006071992,0.000724987,0.7822796,0.0006945018,0.007481562,0.0003117103,0.0007450111,0.002807619,0.1974155,0.0004624057,0.0004888932,0.0005162501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944527,0.0005555667,0.001739311,0.0001905168,0.0001601519,0.0003062912,0.00008860553,0.0000167135,0.002490177],"genre_scores_gemma":[0.997086,0.0002621483,0.001995808,0.00008620574,0.00003897005,0.000003529721,0.0002345454,0.00001460917,0.0002782143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2677846,"threshold_uncertainty_score":0.6668461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03548372995719178,"score_gpt":0.2922441816590514,"score_spread":0.2567604517018596,"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."}}