{"id":"W4416283527","doi":"10.1139/apnm-2025-0045","title":"Multidimensional dietary patterns and their joint associations with intersecting sociodemographic characteristics among adults in Canada: a cross-sectional study","year":2025,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of New Brunswick; Université Laval","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Refined grains; Pairwise comparison; Food group; Food security; Red meat; Public health; Young adult","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001271276,0.0004963377,0.0006504572,0.001263316,0.004001454,0.001895537,0.001436456,0.0006503059,0.002190473],"category_scores_gemma":[0.002639151,0.000655111,0.001163419,0.004833156,0.0007853264,0.0007237442,0.001429415,0.001056657,0.0002616706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02383679,"about_ca_system_score_gemma":0.0282799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935039,"about_ca_topic_score_gemma":0.9956026,"domain_scores_codex":[0.9987854,0.0001125574,0.0001084957,0.0002729034,0.0003856119,0.0003349695],"domain_scores_gemma":[0.9974512,0.000169323,0.0005420015,0.0001542518,0.001129275,0.0005538919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003069029,0.00002751551,0.9974458,0.00002080599,0.00007175272,0.0000275232,0.0005171643,0.00004914262,0.00005740202,0.00005896356,0.0003436306,0.001349671],"study_design_scores_gemma":[0.000005790989,0.0000221619,0.9975563,0.00003255144,0.0000481534,0.00004107285,0.001305309,0.0004051768,0.00002665265,0.00003261692,0.0005128451,0.00001119978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992641,0.0006595399,0.0002311929,0.0002407504,0.000008943912,0.00007009483,0.005086253,0.00001284485,0.001049245],"genre_scores_gemma":[0.9959777,0.000441019,0.0005916172,0.0001284387,0.000005392214,0.00004342779,0.002185795,0.000005662645,0.0006209311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02383679,"threshold_uncertainty_score":0.1729488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01311052524156973,"score_gpt":0.2437120306372978,"score_spread":0.230601505395728,"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."}}