{"id":"W4401656945","doi":"10.1136/bmjopen-2023-083425","title":"Cohort profile: the CARTaGENE Cohort Nutrition Study (Quebec, Canada)","year":2024,"lang":"en","type":"article","venue":"BMJ Open","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Sante Montreal; Quebec Statistical Institute; Institut National de Santé Publique du Québec; Centre Hospitalier Universitaire Sainte-Justine; University of Toronto; McGill University; University of Calgary; Université de Montréal; McGill University Health Centre","funders":"Canadian Institutes of Health Research; Partenariat Canadien Contre Le Cancer; McGill University","keywords":"Medicine; Cohort; Micronutrient; Food group; Epidemiology; Cohort study; Demography; Gerontology; Prospective cohort study; Population; Environmental health; Food frequency questionnaire; Internal medicine","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":[0.001032373,0.000567027,0.0006274518,0.001564483,0.002880721,0.001295097,0.001473116,0.0007349177,0.00922004],"category_scores_gemma":[0.001886654,0.0003582209,0.000628247,0.006389335,0.0003307674,0.0004747079,0.0007715715,0.0008447809,0.002005954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01701792,"about_ca_system_score_gemma":0.02448596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.990921,"about_ca_topic_score_gemma":0.9943625,"domain_scores_codex":[0.9990717,0.00007601768,0.00005218588,0.0002100249,0.0003729769,0.0002170227],"domain_scores_gemma":[0.9982565,0.00003747169,0.0001570352,0.00009826091,0.001217867,0.0002328265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004542492,0.00008668035,0.8281075,0.0003595265,0.0004023155,0.0001908668,0.000396728,0.0003169322,0.0004658703,0.0007670688,0.1469999,0.02145229],"study_design_scores_gemma":[0.00008272862,0.00003262202,0.9726347,0.0002115675,0.0001152739,0.00009736777,0.000257064,0.0002750642,0.00007812998,0.00009572849,0.02609458,0.00002508661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2921855,0.00956702,0.002566332,0.003406677,0.000281319,0.001948356,0.6486228,0.0002884933,0.04113358],"genre_scores_gemma":[0.7132821,0.006033149,0.004684029,0.002678808,0.0001573384,0.00216905,0.2228038,0.0001242569,0.04806744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01701792,"threshold_uncertainty_score":0.1234742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04451862717579939,"score_gpt":0.3697227279799009,"score_spread":0.3252041008041015,"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."}}