{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009583218,0.000460764,0.0001907446,0.000430358,0.0001937524,0.00019849,0.0001237209,0.0001489296,0.0004033406],"category_scores_gemma":[0.0001575949,0.0001257069,0.0001413496,0.0002385895,0.0001816731,0.0001239233,0.0001188833,0.0001967187,0.0001622948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003756588,"about_ca_system_score_gemma":0.0001988804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004705511,"about_ca_topic_score_gemma":0.01020025,"domain_scores_codex":[0.9999247,0.000008172075,0.000004805839,0.00003020018,0.00002023924,0.00001198308],"domain_scores_gemma":[0.9998813,0.0000222783,0.00003075191,0.000009316802,0.00002811899,0.00002818164],"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":[0.00003063877,0.000001811894,0.0006473507,0.000007599744,0.000002508528,0.00001495971,0.00001222259,0.000008429616,0.9987405,0.000005272845,0.00000435293,0.0005245059],"study_design_scores_gemma":[0.000006963755,0.0002332586,0.08720265,0.000004843141,0.00002455798,0.000291461,0.0000606273,0.0003528009,0.9105924,0.00002532613,0.001198411,0.000006773465],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957131,0.0004275454,0.00253454,0.00001923985,0.000004853399,0.00001833531,0.0005196718,0.00005653654,0.0007061292],"genre_scores_gemma":[0.9852544,0.0006030765,0.008923788,0.00006200642,0.00000800581,0.00004513809,0.002353047,0.00005500117,0.002695491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004705511,"threshold_uncertainty_score":0.00935626,"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."}}