{"id":"W873855139","doi":"10.1007/s00394-015-0986-y","title":"Individual and collective factors predicting change in diet quality over 3 years in a subset of older men and women from the NuAge cohort","year":2015,"lang":"en","type":"article","venue":"European Journal of Nutrition","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Health and Social Services Centre University Institute of Geriatrics of Sherbrooke; University of Waterloo; McGill University; Centre Hospitalier de l’Université de Montréal; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Institut National de Santé Publique du Québec; Institut Universitaire de Gériatrie de Montréal","funders":"Canadian Institutes of Health Research; Réseau québécois de recherche sur le vieillissement","keywords":"Anthropometry; Cohort; Medicine; Cohort study; Demography; Gerontology; Stepwise regression; Psychology; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001319037,0.00007039116,0.0002505116,0.00008546504,0.0000233874,0.00001336698,0.0000404989,0.00001980102,0.00001120016],"category_scores_gemma":[0.0002169908,0.00005155625,0.00002546171,0.0001367774,0.00006348321,0.0001121531,0.0000477712,0.0001778145,1.969087e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001001005,"about_ca_system_score_gemma":0.0000188492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001693324,"about_ca_topic_score_gemma":0.00002963389,"domain_scores_codex":[0.9988989,0.0003143805,0.0003356404,0.00009017717,0.0002570717,0.0001038242],"domain_scores_gemma":[0.9994254,0.0001774942,0.0001832133,0.00004629751,0.00008570251,0.00008192098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008665023,0.0003219063,0.9758219,0.00003112063,0.00006486839,0.00006546052,0.0209056,1.404773e-7,0.0001122504,0.00000406457,0.001534724,0.0002715152],"study_design_scores_gemma":[0.006024344,0.0007689566,0.9797311,0.0004289521,0.00002709536,0.00001175623,0.01245892,0.000004476433,0.00001699897,0.0002332191,0.0002480206,0.00004615667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970437,0.001792621,0.00000159353,0.0003349155,0.00003693996,0.0002495318,0.000120778,0.000002354366,0.0004175149],"genre_scores_gemma":[0.998912,0.0006733402,0.00007269152,0.0001066053,0.0002012775,0.000004762354,0.00001623958,0.000008193137,0.000004914103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008446675,"threshold_uncertainty_score":0.2102403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0647461162797423,"score_gpt":0.3003813053176397,"score_spread":0.2356351890378974,"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."}}