{"id":"W4414823237","doi":"10.1002/lipd.70011","title":"Measuring Peripheral Tissue <scp>DHA</scp> Turnover Using a Novel <scp> <sup>13</sup> C </scp> Enrichment Technique","year":2025,"lang":"en","type":"article","venue":"Lipids","topic":"Fatty Acid Research and Health","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Docosahexaenoic acid; Clinical chemistry; Adipose tissue; Lipidology; Metabolism; Muscle tissue; Peripheral; Isotope-ratio mass spectrometry; Fatty acid metabolism","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001272475,0.0006158306,0.000742641,0.0006647494,0.0008392444,0.000362902,0.000771404,0.0005281802,0.00007401704],"category_scores_gemma":[0.001358336,0.0006150675,0.000254096,0.001299189,0.0002388931,0.0004687987,0.0004163647,0.001406249,0.0001147213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001256453,"about_ca_system_score_gemma":0.0004735729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001237454,"about_ca_topic_score_gemma":0.0001509044,"domain_scores_codex":[0.9947983,0.0003011363,0.0008166001,0.001004593,0.00109978,0.001979607],"domain_scores_gemma":[0.9973488,0.0006419589,0.0001915903,0.0009596003,0.0002874114,0.0005705903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001025213,0.001241698,0.01738978,0.001969327,0.000292143,0.00005341916,0.006750064,0.004609375,0.8924731,0.002358426,0.06195595,0.0108042],"study_design_scores_gemma":[0.003359978,0.0007792265,0.009634661,0.001390625,0.0001330575,0.0001161853,0.002174699,0.01482607,0.4180713,0.001028237,0.548202,0.0002839424],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8298506,0.003447353,0.1029905,0.002705585,0.003608276,0.004368945,0.0001408058,0.001303666,0.05158427],"genre_scores_gemma":[0.948657,0.00008992536,0.03818557,0.00243969,0.002302239,0.0003353646,0.00005615156,0.0001947289,0.007739323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.486246,"threshold_uncertainty_score":0.9996301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03496127874614759,"score_gpt":0.3085214429042783,"score_spread":0.2735601641581307,"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."}}