{"id":"W1983158390","doi":"10.1007/s00216-012-6582-6","title":"Distinguishing Ontario ginseng landraces and ginseng species using NMR-based metabolomics","year":2012,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Ginseng Biological Effects and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Ottawa; Western University","funders":"","keywords":"Ginseng; Metabolomics; Ginsenoside; American ginseng; Chemistry; Principal component analysis; Sucrose; Multivariate analysis; Traditional medicine; Food science; Chromatography; Medicine; Mathematics; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002731491,0.0002623989,0.0003123319,0.00002141009,0.0001927833,0.00009221629,0.0001192672,0.0002543829,0.0000872403],"category_scores_gemma":[0.0003056244,0.0001983666,0.0001139303,0.0001136167,0.0004650206,0.000009898148,0.0001603492,0.0002465399,0.000002938948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003075512,"about_ca_system_score_gemma":0.00005931134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000315575,"about_ca_topic_score_gemma":0.0001249036,"domain_scores_codex":[0.9986481,0.00003207574,0.0002615393,0.0004403372,0.0001436903,0.0004742517],"domain_scores_gemma":[0.9991202,0.0001064634,0.00006606399,0.0002392714,0.00005542783,0.0004125549],"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":[0.0001525208,0.0004773884,0.3255502,0.00020637,0.0003252482,0.000012912,0.00006448638,0.000072415,0.6679444,0.003467729,0.0004158298,0.001310507],"study_design_scores_gemma":[0.003658371,0.0004878814,0.2409867,0.0002010079,0.002147139,0.0003729089,0.0006795269,0.08776309,0.332871,0.000907837,0.3261894,0.003735184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949027,0.0007466742,0.001064227,0.0004349979,0.00002496205,0.00008551401,0.00002491312,0.00002151779,0.002694513],"genre_scores_gemma":[0.9962963,0.00005874899,0.001885662,0.000295906,0.0003670279,0.000004977339,0.00007627146,0.00001491899,0.001000215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3350734,"threshold_uncertainty_score":0.8089157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02898768598093508,"score_gpt":0.2615726423868399,"score_spread":0.2325849564059048,"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."}}