{"id":"W2031998142","doi":"10.1021/jf901675y","title":"Quality Assessment of Ginseng by <sup>1</sup>H NMR Metabolite Fingerprinting and Profiling Analysis","year":2009,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Ginseng Biological Effects and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Ginseng; Metabolite; Metabolomics; Metabolite profiling; Chemistry; American ginseng; Nuclear magnetic resonance spectroscopy; Chromatography; Food science; Biochemistry; Traditional medicine; Stereochemistry; 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":[0.0007468965,0.0005604569,0.0002982307,0.0007895232,0.0003476546,0.0007855106,0.000162493,0.0003777652,0.0006254638],"category_scores_gemma":[0.001369243,0.0002106855,0.000346428,0.0007018272,0.000454739,0.0004854653,0.0002877268,0.0004219482,0.0002028881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002891545,"about_ca_system_score_gemma":0.0002723202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001463905,"about_ca_topic_score_gemma":0.002341829,"domain_scores_codex":[0.9994543,0.0001248238,0.00006257294,0.0001249366,0.000174491,0.0000588074],"domain_scores_gemma":[0.9991533,0.0001323198,0.000237703,0.00009225686,0.0003336824,0.00005069293],"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":[0.0002633214,0.00002222206,0.003743875,0.00003316491,0.00001472306,0.00003869155,0.00003608672,0.0001119986,0.9899808,0.00004221448,0.0000258622,0.005687035],"study_design_scores_gemma":[0.00002017947,0.0005554365,0.07403988,0.00001571683,0.0001147436,0.0002373844,0.0001135392,0.001892972,0.9215907,0.0002129983,0.001182152,0.00002426464],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97385,0.002028376,0.02137956,0.0001748171,0.00003667195,0.0001271351,0.0009769385,0.0002068825,0.001219683],"genre_scores_gemma":[0.9716485,0.001041192,0.02451211,0.0001246168,0.00002329986,0.00008875539,0.001581514,0.00006745601,0.0009126308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001463905,"threshold_uncertainty_score":0.00395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075112112671751,"score_gpt":0.2687808539458659,"score_spread":0.2580297328191484,"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."}}