{"id":"W2092802958","doi":"10.1016/j.nbt.2010.09.001","title":"Biochemical monitoring in fenugreek to develop functional food and medicinal plant variants","year":2010,"lang":"en","type":"article","venue":"New Biotechnology","topic":"Advances in Cucurbitaceae Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; Agriculture Food and Rural Development; University of Lethbridge","funders":"","keywords":"Trigonella; Diosgenin; Biology; Crop; Livestock; Forage; Medicinal plants; Biotechnology; Functional food; Genotype; Agronomy; Food science; Horticulture; Botany; Biochemistry","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":[0.0001806048,0.0003050405,0.0002065631,0.0001907719,0.0001771566,0.0002658252,0.0002502268,0.0001574914,0.0005525972],"category_scores_gemma":[0.0001999599,0.0001415539,0.0002225146,0.0001639092,0.0001505407,0.0001455725,0.000162855,0.0002977054,0.0002139447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005771374,"about_ca_system_score_gemma":0.0002995201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007232203,"about_ca_topic_score_gemma":0.008374409,"domain_scores_codex":[0.9998946,0.00001797517,0.000007527209,0.00003636571,0.00002280122,0.00002076831],"domain_scores_gemma":[0.9998994,0.00001685009,0.0000273339,0.00001056256,0.00002667826,0.00001918538],"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":[0.0001024985,0.000009072123,0.0003767762,0.00001121318,0.000002929013,0.00001900359,0.00001462469,0.00009658648,0.9983683,0.0000288553,0.0000125374,0.0009575244],"study_design_scores_gemma":[0.000002640043,0.00005650688,0.003420648,0.000002055546,0.000008072963,0.00005881246,0.00001658443,0.000890136,0.9948784,0.00001660355,0.0006462205,0.000003287812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926059,0.0004241773,0.005118468,0.00005394743,0.00001153872,0.00002098373,0.000641274,0.0000897744,0.001033842],"genre_scores_gemma":[0.987856,0.000256188,0.006972185,0.00003021871,0.000002574589,0.00002070725,0.001072064,0.00005768627,0.003732346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007232203,"threshold_uncertainty_score":0.01438016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190783063175723,"score_gpt":0.2893226154316392,"score_spread":0.2702443091140669,"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."}}