{"id":"W7139313777","doi":"","title":"Evaluating Menu Quality in Canadian Long-Term Care Homes: Navigating Compliance with Nutrient and Food-Based Standards","year":2025,"lang":"","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; University of Toronto; Banting and Best Diabetes Centre, University of Toronto; Sanofi","keywords":"Compliance (psychology); Quality (philosophy); Healthy food; Portion size; MEDLINE","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008168443,0.0003657349,0.0005159653,0.001451933,0.003600779,0.002436421,0.001357183,0.0003988063,0.001497482],"category_scores_gemma":[0.0184551,0.000291327,0.0008416682,0.002973931,0.0009587438,0.0006751492,0.001451779,0.0008678499,0.000174854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0358165,"about_ca_system_score_gemma":0.04825244,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9667123,"about_ca_topic_score_gemma":0.9851502,"domain_scores_codex":[0.9956954,0.0005832499,0.0002675731,0.0002345618,0.002540992,0.0006781871],"domain_scores_gemma":[0.9885727,0.001143078,0.001436068,0.0002196731,0.007483539,0.001144905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003835035,0.0004124028,0.8604814,0.0004537885,0.0001951512,0.00008771256,0.02528556,0.000486022,0.0005135457,0.0003641006,0.007636183,0.1037006],"study_design_scores_gemma":[0.00001400242,0.0001652645,0.9818271,0.0001908976,0.00004817506,0.00001728436,0.01390733,0.0006847321,0.0002795066,0.0000748357,0.002756574,0.00003441633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923446,0.0006817844,0.0005279968,0.0007418235,0.00002092382,0.0002408507,0.001021842,0.00001955921,0.004400672],"genre_scores_gemma":[0.9919504,0.0009797226,0.004101564,0.0002256709,0.000006573554,0.0001741927,0.001139884,0.0000102068,0.00141183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0358165,"threshold_uncertainty_score":0.2598681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06549530309937114,"score_gpt":0.4145994413964582,"score_spread":0.349104138297087,"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."}}