{"id":"W2049777898","doi":"10.1021/jf000467t","title":"Microdetermination of Diosgenin from Fenugreek (<i>Trigonella foenum-graecum</i>) Seeds","year":2000,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Phytochemical Studies and Bioactivities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Diosgenin; Trigonella; Sulfuric acid; Chemistry; Hydrolysis; Chromatography; Petroleum ether; Extraction (chemistry); Hydrochloric acid; Acid hydrolysis; Alcohol; Ethanol; Organic chemistry; Botany; Biology","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":[0.00004627504,0.0001323993,0.0002109115,0.000005995143,0.00004930141,0.0000146169,0.0001162666,0.0001176074,0.00003214662],"category_scores_gemma":[0.00001607906,0.00008304421,0.0001426203,0.00004932628,0.00007991819,0.000008469369,0.00003948059,0.00012117,4.430301e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009405838,"about_ca_system_score_gemma":0.00001174062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009253762,"about_ca_topic_score_gemma":0.00000261869,"domain_scores_codex":[0.9993398,0.00001280312,0.000271632,0.0001286901,0.0001236125,0.0001234139],"domain_scores_gemma":[0.9995311,0.00001524764,0.0002048825,0.00006893613,0.0001089957,0.00007078413],"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":[0.00007326334,0.00006601711,0.0007365978,0.00002676873,0.0001288152,7.345135e-7,0.00005063212,0.000003576399,0.994656,1.945539e-7,0.0008731546,0.003384296],"study_design_scores_gemma":[0.000492955,0.0003205374,0.02861276,0.00003792194,0.00004696856,0.00007100729,0.00025278,6.540437e-7,0.9675735,0.00003792212,0.002424871,0.0001281315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995343,0.003794637,0.000003557705,0.0001019254,0.00003411786,0.00003717684,0.00005508939,0.000002137037,0.0006283183],"genre_scores_gemma":[0.9982231,0.0006540217,0.000153287,0.00002326254,0.0004557432,0.000001854836,0.00003257816,0.000004577225,0.0004515855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02787616,"threshold_uncertainty_score":0.3386444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004690216135387086,"score_gpt":0.1833955618152168,"score_spread":0.1787053456798297,"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."}}