{"id":"W2085069836","doi":"10.1021/jf000477u","title":"Determination of Glucosinolates in Canola Seeds Using Anion Exchange Membrane Extraction Combined with the High-Pressure Liquid Chromatography Detection","year":2000,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Chromatography; Glucosinolate; Chemistry; Extraction (chemistry); High-performance liquid chromatography; Membrane; Canola; Sinigrin; Sample preparation; Brassica; Biochemistry; Botany","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":[0.0006328612,0.001464378,0.0006786045,0.001325751,0.0003469609,0.0005597539,0.0005455587,0.0006423854,0.0003271511],"category_scores_gemma":[0.000506044,0.0004304237,0.0003849304,0.0009061836,0.0003297806,0.0004739663,0.0003158934,0.0009095264,0.0004506385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004683881,"about_ca_system_score_gemma":0.0005110842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00200934,"about_ca_topic_score_gemma":0.004523037,"domain_scores_codex":[0.99931,0.0001189311,0.0000427723,0.0002044413,0.0002787653,0.00004510518],"domain_scores_gemma":[0.9996473,0.00009142761,0.0000641338,0.00002481697,0.00013899,0.00003346553],"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":[0.00001988458,0.00001033851,0.0002353502,0.00003735779,0.000007009909,0.00001595161,0.0000080013,0.00002793693,0.9966736,0.00001433971,0.00001534448,0.002934919],"study_design_scores_gemma":[0.00001520371,0.0001623188,0.006679573,0.000008820429,0.00003849318,0.000254369,0.00001984141,0.001921298,0.9877694,0.00006851938,0.003031974,0.000030154],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7510905,0.01798882,0.2237393,0.0003069197,0.0001650806,0.000644435,0.001471079,0.00153104,0.003062827],"genre_scores_gemma":[0.6172594,0.01303191,0.3594674,0.0003367318,0.00008563914,0.0009179554,0.003128787,0.0001502196,0.005621824],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00200934,"threshold_uncertainty_score":0.003995299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00520847687835344,"score_gpt":0.1976950462656629,"score_spread":0.1924865693873095,"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."}}