{"id":"W2333942507","doi":"10.1021/jf502209x","title":"Mid-Infrared Spectral Characteristics of Lipid Molecular Structures in <i>Brassica carinata</i> Seeds: Relationship to Oil Content, Fatty Acid and Glucosinolate Profiles, Polyphenols, and Condensed Tannins","year":2014,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; University of Warwick","keywords":"Glucosinolate; Brassica carinata; Polyphenol; Chemistry; Fatty acid; Brassica; Food science; Brassica rapa; Botany; Organic chemistry; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013349,0.0003248865,0.00016547,0.0005371204,0.0001515128,0.0002366695,0.0001211293,0.0002367598,0.0003642362],"category_scores_gemma":[0.0001910504,0.0001521863,0.0001497621,0.000307284,0.0002003364,0.0001654416,0.00007523085,0.0003216499,0.0001189519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003038719,"about_ca_system_score_gemma":0.0001010405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005112502,"about_ca_topic_score_gemma":0.006751558,"domain_scores_codex":[0.999917,0.00001236042,0.000005133187,0.00003017885,0.00002739487,0.000007865607],"domain_scores_gemma":[0.9997984,0.00004825238,0.0000687555,0.00001115595,0.00004609502,0.00002737888],"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":[0.0001009725,0.0000137146,0.005542034,0.00002298897,0.00001104877,0.00002034763,0.00004527944,0.00008748674,0.9924919,0.00001413539,0.00000907174,0.001641095],"study_design_scores_gemma":[0.00001513493,0.0002532314,0.5368575,0.000009122341,0.0000606172,0.0002769966,0.0001955745,0.002713328,0.4589571,0.00006642479,0.0005738711,0.00002119552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983917,0.0003215399,0.0008705389,0.00001230147,0.000001243427,0.000003352832,0.000110676,0.000024092,0.0002645299],"genre_scores_gemma":[0.9981052,0.0001780803,0.001097688,0.00001686433,9.826391e-7,0.000006788194,0.0002759167,0.000008870622,0.0003096165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005112502,"threshold_uncertainty_score":0.01016545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008135487554154762,"score_gpt":0.2008697927963451,"score_spread":0.1927343052421903,"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."}}