{"id":"W2041018122","doi":"10.1016/j.chroma.2004.11.030","title":"Identification and quantification of eight flavones in root and shoot tissues of the medicinal plant Huang-qin (Scutellaria baicalensis Georgi) using high-performance liquid chromatography with diode array and mass spectrometric detection","year":2004,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Flavonoids in Medical Research","field":"Medicine","cited_by":125,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Chemistry; Scutellaria baicalensis; Chromatography; Flavones; High-performance liquid chromatography; Mass spectrometry; Shoot; Chromatography detector; Botany; Traditional Chinese medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001383606,0.0003612555,0.0002594606,0.0005382064,0.0002489995,0.0001358872,0.0001456276,0.000396891,0.0003877085],"category_scores_gemma":[0.0001954353,0.0001487085,0.0002291936,0.0002770997,0.0002002812,0.0002893854,0.0001149027,0.0003561641,0.0001358527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001920425,"about_ca_system_score_gemma":0.0002184319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001799156,"about_ca_topic_score_gemma":0.003418142,"domain_scores_codex":[0.9999326,0.000009119361,0.000003495873,0.00002294536,0.00001940897,0.00001234664],"domain_scores_gemma":[0.999878,0.00004121025,0.00002134856,0.000008767182,0.00002346182,0.00002714791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006579101,0.00001065031,0.0006669038,0.00002080004,0.0000062781,0.00002020759,0.00001150428,0.00002221469,0.9977443,0.000012196,0.0000102188,0.001408938],"study_design_scores_gemma":[0.00007558965,0.0005562674,0.08499609,0.00000699055,0.0001075399,0.0005595764,0.00005624894,0.001261114,0.9110258,0.00007499798,0.001256759,0.0000230564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940644,0.0013664,0.0035711,0.00007061135,0.000010096,0.00002810462,0.0003557098,0.00006280274,0.0004707711],"genre_scores_gemma":[0.9813049,0.0008928838,0.01475093,0.0001107587,0.00001843975,0.00006032443,0.001143572,0.00001943246,0.001698632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001799156,"threshold_uncertainty_score":0.003577411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306175428169352,"score_gpt":0.262757331759093,"score_spread":0.2496955774773995,"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."}}