{"id":"W2085716912","doi":"10.1080/14786410802278285","title":"Monitoring the enzymatic degradation of sinigrin from<i>B. juncea</i>meal using<sup>1</sup>H NMR spectroscopy","year":2009,"lang":"en","type":"article","venue":"Natural Product Research","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Sinigrin; Brassica; Nuclear magnetic resonance spectroscopy; Chemistry; Spectroscopy; Glucosinolate; Degradation (telecommunications); Chromatography; Two-dimensional nuclear magnetic resonance spectroscopy; Botany; Biology; Stereochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008517597,0.000157155,0.0003167431,0.0001667367,0.0001972026,0.00005431491,0.0002529352,0.00007195032,0.00002607978],"category_scores_gemma":[0.0007937338,0.00009987279,0.00009436144,0.000668722,0.0002404165,0.0002179399,0.0000638499,0.001055554,0.00001115156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001414566,"about_ca_system_score_gemma":0.0001839486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002230283,"about_ca_topic_score_gemma":0.000001178033,"domain_scores_codex":[0.9975685,0.0001640046,0.0002980656,0.000367154,0.001122973,0.0004793035],"domain_scores_gemma":[0.9986917,0.0002567064,0.00007805875,0.0005017075,0.0003909518,0.00008090945],"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":[0.0002589235,0.0001487497,0.004122224,0.00006953617,0.00003380573,0.000007623561,0.0003540716,0.00001904632,0.9883979,0.00008809836,0.0008467436,0.005653288],"study_design_scores_gemma":[0.0004247854,0.0001906693,0.02177005,0.0003397589,0.00002820463,0.00001978594,0.000423677,0.001681669,0.9734097,0.001458297,0.000146913,0.0001065103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907924,0.004703751,0.00001399944,0.003282091,0.00009197786,0.0005412098,0.000006223948,0.00003474601,0.0005336368],"genre_scores_gemma":[0.9958158,0.0001630163,0.001845228,0.00003726941,0.001412211,0.000006476139,0.00001458985,0.00001488016,0.0006905336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01764783,"threshold_uncertainty_score":0.4585914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08084612781158941,"score_gpt":0.3928877311637654,"score_spread":0.312041603352176,"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."}}