{"id":"W4403351453","doi":"10.1016/j.tjnut.2024.10.023","title":"A Method to Estimate the Dietary α-Linolenic Acid Requirement Using Nonesterified DHA and Arachidonic Acid Oxylipins and Fatty Acids","year":2024,"lang":"en","type":"article","venue":"Journal of Nutrition","topic":"Fatty Acid Research and Health","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Science Centre for Human and Animal Health; Agriculture and Agri-Food Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Universities Space Research Association; University of Manitoba","keywords":"Arachidonic acid; Chemistry; Linolenic acid; Polyunsaturated fatty acid; Food science; Biochemistry; Oxylipin; Fatty acid; Docosahexaenoic acid; alpha-Linolenic acid; Essential fatty acid; Linoleic acid; Enzyme","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":[0.001540402,0.001147219,0.0008487963,0.001924636,0.0006204871,0.0008435088,0.0009816361,0.00114615,0.001881177],"category_scores_gemma":[0.002276845,0.0005338982,0.0007358231,0.001445743,0.0003912452,0.0007143415,0.0005464418,0.001234218,0.001119739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000630686,"about_ca_system_score_gemma":0.0008985453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005254077,"about_ca_topic_score_gemma":0.006402947,"domain_scores_codex":[0.99878,0.0002520291,0.00005524535,0.0003772792,0.0004947679,0.00004080578],"domain_scores_gemma":[0.9987603,0.0005464882,0.0001459173,0.0001180944,0.0003842979,0.00004480307],"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":[0.002364627,0.0004644775,0.02559065,0.0009298844,0.000477556,0.0001468405,0.0002805042,0.002481103,0.6897842,0.002547143,0.001618736,0.2733143],"study_design_scores_gemma":[0.0005278312,0.002213404,0.06333561,0.0002154561,0.001057704,0.001026069,0.0002946832,0.08663104,0.7990579,0.004553858,0.04072278,0.000363753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05537221,0.001343161,0.9380313,0.0001054537,0.0002017796,0.0005350087,0.001036288,0.0008419221,0.002532939],"genre_scores_gemma":[0.1053018,0.00100042,0.8835602,0.0001528298,0.00003450817,0.001520123,0.0006374912,0.0001561032,0.007636628],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005254077,"threshold_uncertainty_score":0.01044703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0765719287529128,"score_gpt":0.4208252517744655,"score_spread":0.3442533230215527,"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."}}