{"id":"W2145996925","doi":"10.1016/j.jand.2012.03.030","title":"Biomarker and Dietary Validation of a Canadian Food Frequency Questionnaire to Measure Eicosapentaenoic and Docosahexaenoic Acid Intakes from Whole Food, Functional Food, and Nutraceutical Sources","year":2012,"lang":"en","type":"article","venue":"Journal of the Academy of Nutrition and Dietetics","topic":"Fatty Acid Research and Health","field":"Nursing","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canadian Foundation for Dietetic Research","keywords":"Eicosapentaenoic acid; Docosahexaenoic acid; Quartile; Food frequency questionnaire; Biomarker; Food science; Medicine; Nutraceutical; Whole food; Food group; Polyunsaturated fatty acid; Environmental health; Fatty acid; Biology; Internal medicine; Confidence interval; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.004749041,0.0008171028,0.0004771393,0.00167147,0.002154769,0.001051442,0.001808848,0.001070576,0.001283298],"category_scores_gemma":[0.009068066,0.0005015033,0.001026729,0.002195033,0.0007546336,0.000457081,0.0009656124,0.0009206548,0.0005577118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00889412,"about_ca_system_score_gemma":0.0118202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8133882,"about_ca_topic_score_gemma":0.8312317,"domain_scores_codex":[0.9963269,0.0004163263,0.0002622399,0.0004982738,0.00213726,0.0003590392],"domain_scores_gemma":[0.9935704,0.0004076658,0.000421888,0.0002913956,0.005060466,0.0002481259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009772606,0.0009136333,0.9535744,0.0001571461,0.0004901705,0.0001252121,0.001348277,0.0006887481,0.006761112,0.0005359291,0.004332575,0.03009547],"study_design_scores_gemma":[0.00008165635,0.0002563572,0.992528,0.00002687645,0.0001096492,0.00009565696,0.0002442642,0.0007179443,0.001280286,0.00005734014,0.00457782,0.0000241588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97474,0.001007679,0.005126813,0.0005351178,0.0002393826,0.001756382,0.008667019,0.00008150379,0.007846004],"genre_scores_gemma":[0.9669767,0.0005959401,0.01319912,0.0006782543,0.00004341388,0.001423571,0.008334381,0.00004458333,0.008704055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1866118,"threshold_uncertainty_score":0.3754215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0833366285077239,"score_gpt":0.3071517756510594,"score_spread":0.2238151471433355,"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."}}