{"id":"W2725929069","doi":"10.1093/geroni/igx004.2062","title":"ADEQUACY OF MICRONUTRIENT INTAKE IN LONG-TERM CARE RESIDENTS: MAKING THE MOST OF MEALTIMES (M3)","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; University of Guelph; University of Alberta; University of Manitoba; Université de Moncton; Research Institute for Aging; University of Waterloo","funders":"","keywords":"Micronutrient; Medicine; Dietary Reference Intake; Environmental health; Nutrient; Vitamin; Psychological intervention; Gerontology; Pediatrics; Biology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006062496,0.0002222057,0.0002480732,0.0004975003,0.0007065372,0.0005071442,0.0003731704,0.0004262623,0.0007162631],"category_scores_gemma":[0.001409266,0.0002042495,0.0002888685,0.0006789037,0.000216613,0.0002809967,0.0005597291,0.0003434339,0.0001517881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000553478,"about_ca_system_score_gemma":0.0004421043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08037714,"about_ca_topic_score_gemma":0.1592859,"domain_scores_codex":[0.9997587,0.00003370771,0.00003895958,0.00003755815,0.00008685704,0.00004421964],"domain_scores_gemma":[0.9994036,0.00005400897,0.0002718311,0.00003011286,0.0001351301,0.000105289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001388894,0.00004590869,0.9951702,0.00003191538,0.00002826988,0.00006655849,0.0005427936,0.0000146887,0.0005969055,0.000005922728,0.0001495196,0.003208488],"study_design_scores_gemma":[0.000001578853,0.00004691495,0.9994647,0.000006879948,0.000006014628,0.00007983471,0.0002246529,0.00002923781,0.00006851044,0.000005740084,0.00006360275,0.000002208648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991,0.0001999764,0.00006699014,0.00002608617,0.00000172025,0.00001300461,0.0003118127,0.000003968832,0.0002765852],"genre_scores_gemma":[0.9992765,0.00008508364,0.0001953063,0.00002868413,0.000002831432,0.00001233941,0.0002562865,0.000001326991,0.0001415806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08037714,"threshold_uncertainty_score":0.1598186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05195929165849537,"score_gpt":0.3940147542478058,"score_spread":0.3420554625893104,"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."}}