{"id":"W2573894735","doi":"10.1186/s12877-016-0401-4","title":"Making the Most of Mealtimes (M3): protocol of a multi-centre cross-sectional study of food intake and its determinants in older adults living in long term care homes","year":2017,"lang":"en","type":"article","venue":"BMC Geriatrics","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University Health Network; University of Alberta; Simon Fraser University; University of Manitoba; Université de Moncton; Toronto Rehabilitation Institute; University of Waterloo; Conestoga College; Research Institute for Aging","funders":"Institute of Nutrition, Metabolism and Diabetes; Research Institute for Aging, University of Waterloo; Canadian Institutes of Health Research; University of Waterloo","keywords":"Medicine; Psychosocial; Staffing; Gerontology; Long-term care; Meal; Cross-sectional study; Malnutrition; Environmental health; Activities of daily living; Nursing; Physical therapy; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004213737,0.0001175412,0.0003592919,0.0002347019,0.000114174,0.00002266915,0.0001464581,0.0000876362,0.00001307911],"category_scores_gemma":[0.0004421175,0.00009294487,0.00003751165,0.0001630517,0.00005572419,0.00009169343,0.0001329736,0.0001676893,2.189212e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005427923,"about_ca_system_score_gemma":0.0001447143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001879646,"about_ca_topic_score_gemma":0.004835103,"domain_scores_codex":[0.9985521,0.000081737,0.0006963241,0.0002181075,0.0002604047,0.0001913192],"domain_scores_gemma":[0.9987115,0.0001376662,0.0005912512,0.0002726249,0.0002431862,0.00004379994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003378787,0.000785241,0.9813688,0.006664474,0.000006558879,0.00000749109,0.00890114,0.000003787644,0.0000439832,0.000002936212,0.000001416141,0.001876294],"study_design_scores_gemma":[0.008848902,0.0002944782,0.9845645,0.002045888,0.00001330465,0.000008485852,0.003235183,0.0004573516,0.0004565606,0.000002009987,0.000001246622,0.00007206487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740774,0.0002646508,0.000005461784,0.00001042463,0.00007525026,0.02553097,0.00001554978,0.000006232825,0.00001404144],"genre_scores_gemma":[0.9975528,0.00001223731,0.0002766862,0.000007645141,0.00004793962,0.00207483,0.000001237083,0.00001390931,0.00001270084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02347539,"threshold_uncertainty_score":0.3790182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07076984759754185,"score_gpt":0.4022683427354654,"score_spread":0.3314984951379235,"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."}}