{"id":"W2335341696","doi":"10.5740/jaoacint.12-153","title":"Determination of Ginsenoside Content in Panax ginseng C.A. Meyer and Panax quinquefolius L. Root Materials and Finished Products by High-Performance Liquid Chromatography with Ultraviolet Absorbance Detection: Interlaboratory Study","year":2013,"lang":"en","type":"article","venue":"Journal of AOAC International","topic":"Ginseng Biological Effects and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"Pharmavite; Office of Dietary Supplements; National Institutes of Health; National Science Foundation","keywords":"Ginseng; Repeatability; Chromatography; Chemistry; American ginseng; Araliaceae; High-performance liquid chromatography; Reproducibility; Traditional medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002425632,0.0001286358,0.0002050498,0.00009397513,0.00003365592,0.00003623729,0.0001213608,0.00006744367,0.00001090197],"category_scores_gemma":[0.0000648205,0.00009227851,0.00001946882,0.00008099038,0.000131241,0.00002911431,0.00003418589,0.00009637632,4.72755e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001664247,"about_ca_system_score_gemma":0.00002688728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001018066,"about_ca_topic_score_gemma":0.00004530024,"domain_scores_codex":[0.9990748,0.00006975183,0.0004043682,0.0001959177,0.0001498182,0.0001053694],"domain_scores_gemma":[0.9990746,0.00002473275,0.0003555896,0.0001035726,0.0003948624,0.00004666876],"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":[0.0002918734,0.0002129892,0.01228163,0.00002246614,0.00006339332,0.000002767012,0.00006969774,0.00001026296,0.9855069,0.00001094159,0.0001353261,0.001391738],"study_design_scores_gemma":[0.001173983,0.002559458,0.2784668,0.00007165234,0.00001837573,0.00006201235,0.0001992209,0.00003240187,0.7168643,0.000009944371,0.0004220307,0.0001197742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987289,0.000211723,0.0002415057,0.0003163487,0.0001507396,0.0003098306,0.00002394018,0.00000326629,0.00001376424],"genre_scores_gemma":[0.9991533,0.0001672822,0.0003931651,0.00007101004,0.0001291308,0.0000420109,0.00001536036,0.000009370133,0.00001933167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2686426,"threshold_uncertainty_score":0.3763008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006644261776665249,"score_gpt":0.2171470279172774,"score_spread":0.2105027661406121,"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."}}