{"id":"W2004930503","doi":"10.1016/j.jfca.2014.12.017","title":"Rapid determination of total conjugated linoleic acid concentrations in beef by 1 H NMR spectroscopy","year":2015,"lang":"en","type":"article","venue":"Journal of Food Composition and Analysis","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thompson Rivers University","funders":"Thompson Rivers University","keywords":"Conjugated linoleic acid; Chemistry; Derivatization; Extraction (chemistry); Chromatography; Nuclear magnetic resonance spectroscopy; Linoleic acid; Gas chromatography; Proton NMR; High-performance liquid chromatography; Fatty acid; Organic chemistry","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":[0.0003894305,0.0003540389,0.0001918461,0.0004088022,0.000290408,0.0002903175,0.0002015899,0.0004166664,0.0006436592],"category_scores_gemma":[0.0003160184,0.0002897556,0.0001157172,0.0002230145,0.0002803523,0.0003468582,0.0001860754,0.0004685056,0.0002281497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002733412,"about_ca_system_score_gemma":0.0002351464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001713539,"about_ca_topic_score_gemma":0.003566694,"domain_scores_codex":[0.9998356,0.00002953135,0.000005953128,0.00005639913,0.00004301851,0.00002946912],"domain_scores_gemma":[0.999818,0.00004462651,0.00003155441,0.00001542578,0.00006020815,0.00003014658],"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":[0.0002185099,0.00001028216,0.0006384419,0.00001627883,0.000005684107,0.000006438645,0.00001309284,0.00003698572,0.9970855,0.0000142967,0.00002647287,0.001928048],"study_design_scores_gemma":[0.00003120803,0.0004427806,0.02121885,0.00001158718,0.00004408242,0.0001858286,0.00007487695,0.002496016,0.9743648,0.00007134452,0.001041876,0.000016743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804057,0.002105033,0.01545817,0.0001339733,0.00004813037,0.00003540119,0.0005299597,0.0001212079,0.001162249],"genre_scores_gemma":[0.9701269,0.001514229,0.02458214,0.0001846817,0.00004151344,0.00005138104,0.0007814417,0.00003910481,0.002678582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001713539,"threshold_uncertainty_score":0.003407061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03158423145966531,"score_gpt":0.2629715459362002,"score_spread":0.2313873144765349,"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."}}