{"id":"W2728307220","doi":"10.1093/geroni/igx004.3051","title":"COMPARISON OF PUREED AND REGULAR MENUS IN CANADIAN LONG-TERM CARE HOMES","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 Guelph; Research Institute for Aging; University of Waterloo","funders":"","keywords":"Micronutrient; Nutrient; Medicine; Environmental health; Geography; Gerontology; Biology; Ecology","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":[0.0009887579,0.0003724404,0.0003993599,0.00170422,0.002369175,0.001309068,0.001168881,0.000273747,0.001491029],"category_scores_gemma":[0.003352086,0.0003277617,0.0006141426,0.003464187,0.0006599158,0.0003501868,0.0009443734,0.0003112698,0.000114551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02238365,"about_ca_system_score_gemma":0.01436284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9857546,"about_ca_topic_score_gemma":0.995047,"domain_scores_codex":[0.9984573,0.0001032219,0.00008131128,0.0001998235,0.0007722667,0.0003860733],"domain_scores_gemma":[0.9978538,0.0001490125,0.0002916023,0.00006680438,0.001252307,0.0003864353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007655349,0.0002025915,0.945732,0.0003403615,0.000261723,0.0002595318,0.007618867,0.0004154568,0.002289409,0.0002571751,0.002130772,0.03972647],"study_design_scores_gemma":[0.000006349506,0.00004712201,0.9972735,0.00002390048,0.00001926561,0.00002738438,0.001851578,0.0001632286,0.0000993228,0.00001142788,0.0004656367,0.00001124259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968812,0.0002461462,0.0001289713,0.00004405529,0.000004387929,0.00005413739,0.001295559,0.000009083645,0.001336416],"genre_scores_gemma":[0.9972333,0.0002641383,0.0006226825,0.0000603898,0.000001727324,0.00003304654,0.001226225,0.000006978131,0.0005514116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02238365,"threshold_uncertainty_score":0.1624055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06160872550603989,"score_gpt":0.4107995560315488,"score_spread":0.3491908305255089,"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."}}