{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005286675,0.00128211,0.0007472624,0.001395675,0.0007003693,0.0008749865,0.0007338875,0.0009282287,0.0006968191],"category_scores_gemma":[0.005125173,0.0004742296,0.0008508288,0.001418823,0.0007121083,0.0004517714,0.0007564314,0.0005179381,0.0003881101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005428259,"about_ca_system_score_gemma":0.001014065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002281674,"about_ca_topic_score_gemma":0.003743058,"domain_scores_codex":[0.9932805,0.001642907,0.0006668438,0.00182138,0.00241523,0.0001731745],"domain_scores_gemma":[0.9967473,0.0007067546,0.0007334837,0.0006122959,0.001081377,0.000118858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009918239,0.0006900039,0.0195,0.0003195306,0.00044998,0.0001201381,0.0003970276,0.0006406989,0.9590649,0.0001220805,0.0001274001,0.01757632],"study_design_scores_gemma":[0.000225557,0.01087093,0.260991,0.000094364,0.001276738,0.001373139,0.0003467785,0.004899477,0.7111486,0.0002168869,0.008419067,0.0001375693],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970785,0.002241938,0.02333757,0.0000685286,0.00006095095,0.0006727591,0.001028357,0.0002743082,0.00153055],"genre_scores_gemma":[0.91952,0.001347439,0.07170414,0.0003055254,0.00006701691,0.001152682,0.002813239,0.00009970162,0.002990304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005286675,"threshold_uncertainty_score":0.02795899,"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."}}