{"id":"W2131956237","doi":"10.1111/j.1745-4522.2007.00081.x","title":"MEASURING OXIDATIVE STABILITY OF STRUCTURED LIPIDS BY PROTON NUCLEAR MAGNETIC RESONANCE","year":2007,"lang":"en","type":"article","venue":"Journal of Food Lipids","topic":"Edible Oils Quality and Analysis","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; TBARS; Hexanal; Lipid oxidation; Thiobarbituric acid; Oxidative phosphorylation; Nuclear magnetic resonance spectroscopy; Conjugated system; Proton; Proton magnetic resonance; Spectroscopy; Proton NMR; Fatty acid; Lipid peroxidation; Chromatography; Organic chemistry; Nuclear magnetic resonance; Biochemistry; Antioxidant","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001569704,0.0001956593,0.0005328126,0.0001112322,0.0000801582,0.00003060879,0.0004128028,0.0001815885,0.001174997],"category_scores_gemma":[0.0005004902,0.0001709709,0.0003073774,0.0003278336,0.0001589656,0.0002239282,0.00005540059,0.0005648101,0.000002186161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001214805,"about_ca_system_score_gemma":0.00008258229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000175242,"about_ca_topic_score_gemma":0.00002034754,"domain_scores_codex":[0.997505,0.0000887548,0.001104385,0.0002087854,0.0007755651,0.0003175134],"domain_scores_gemma":[0.9980418,0.000184379,0.0008054519,0.0003404818,0.0004368482,0.0001910196],"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":[0.0006433927,0.000326376,0.009626575,0.001270489,0.0001784591,0.000005862351,0.001875901,0.000006173249,0.9721175,0.0001474019,0.0004805286,0.01332134],"study_design_scores_gemma":[0.001055603,0.0006447782,0.0009569848,0.0004360614,0.000106857,0.00002064451,0.001727725,0.00002604149,0.9826903,0.0005246293,0.01159712,0.0002132089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934526,0.003096851,0.0001337071,0.00008525304,0.0001439539,0.00006682564,0.00004072621,0.00001640162,0.002963684],"genre_scores_gemma":[0.9977743,0.0002233118,0.001202528,0.00003675468,0.0006470454,0.000001337456,0.000002164961,0.0000241469,0.00008840437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01310813,"threshold_uncertainty_score":0.999738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02728268712328222,"score_gpt":0.2505493253476949,"score_spread":0.2232666382244126,"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."}}