{"id":"W1955901487","doi":"10.1002/ejlt.201400222","title":"Identification and quantification of canolol and related sinapate precursors in Indian mustard oils and Canadian mustard products","year":2014,"lang":"en","type":"article","venue":"European Journal of Lipid Science and Technology","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Canola; Mustard seed; Chemistry; High-performance liquid chromatography; Mustard Plant; Extraction (chemistry); Food science; Brassica; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001441036,0.00007197391,0.0001892046,0.0008606903,0.00009209407,0.00003483807,0.00008640366,0.0000398183,9.997486e-7],"category_scores_gemma":[0.000812782,0.00006026213,0.000006899934,0.0005616778,0.001204943,0.0002154579,0.0000343334,0.0001932398,3.360889e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002563362,"about_ca_system_score_gemma":0.0001779033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001196315,"about_ca_topic_score_gemma":0.0002855989,"domain_scores_codex":[0.9991601,0.00005191444,0.0003084061,0.0001941287,0.0001254418,0.0001600659],"domain_scores_gemma":[0.9992738,0.00001991644,0.0002367086,0.0001177546,0.0002336398,0.0001181316],"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":[0.0000199136,0.00002048605,0.02045169,0.00007006482,0.000006780883,0.00002501474,0.001011441,2.691224e-7,0.9494722,0.0004671924,0.00002920897,0.02842571],"study_design_scores_gemma":[0.001429286,0.0009132174,0.3954964,0.0005991283,0.00005138475,0.001811456,0.002262423,0.0002224184,0.5943996,0.0008298289,0.001780872,0.0002039319],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934013,0.0003710814,0.000008725104,0.005821246,0.00006247533,0.0001002693,0.000001892606,0.000007217654,0.0002257779],"genre_scores_gemma":[0.9994729,0.0002841655,0.0001634259,0.00002428507,0.00002313775,4.967046e-7,4.720652e-7,0.000005821496,0.0000253157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3750447,"threshold_uncertainty_score":0.4439664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00956440759679574,"score_gpt":0.2248646942976073,"score_spread":0.2153002867008116,"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."}}