{"id":"W2885655571","doi":"10.1016/j.bbalip.2018.07.014","title":"Applying stable carbon isotopic analysis at the natural abundance level to determine the origin of docosahexaenoic acid in the brain of the fat-1 mouse","year":2018,"lang":"en","type":"article","venue":"Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids","topic":"Fatty Acid Research and Health","field":"Nursing","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Docosahexaenoic acid; Polyunsaturated fatty acid; Chemistry; Isotope analysis; Isotopes of carbon; Metabolism; Biochemistry; Stable isotope ratio; Fatty acid; Food science; Biology; Environmental chemistry; Ecology; Total organic carbon","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":[0.0002161045,0.0005219195,0.0002795548,0.001348084,0.0005597603,0.000573915,0.0004521115,0.0004867082,0.001271113],"category_scores_gemma":[0.0001873975,0.0003582845,0.0003649331,0.0004624323,0.000860443,0.0005866717,0.0003788742,0.001223337,0.0002659459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006780713,"about_ca_system_score_gemma":0.0005866413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004045418,"about_ca_topic_score_gemma":0.007672113,"domain_scores_codex":[0.9998682,0.000007125506,0.000007510059,0.00005281168,0.0000266041,0.00003779575],"domain_scores_gemma":[0.9997284,0.0000300692,0.00007396779,0.00003175184,0.00006146637,0.00007427068],"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":[0.0007242364,0.00003018463,0.0009862393,0.00002742177,0.00001927999,0.00007344472,0.00003482782,0.00002960152,0.9958172,0.0002479178,0.00003470686,0.001974857],"study_design_scores_gemma":[0.00003504202,0.0002280712,0.01525221,0.00001464159,0.00009560547,0.0002404869,0.0001898305,0.0004046411,0.9811738,0.0003908275,0.001959962,0.00001479484],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986735,0.002476767,0.006885964,0.0003126726,0.0001147095,0.00003106385,0.001701072,0.0001016158,0.001641172],"genre_scores_gemma":[0.9702583,0.004247956,0.01201599,0.0003310016,0.00004081584,0.0001323194,0.001999781,0.0002543217,0.01071948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004045418,"threshold_uncertainty_score":0.008043766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02107613391631899,"score_gpt":0.2915213948422732,"score_spread":0.2704452609259543,"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."}}