{"id":"W3030803240","doi":"10.3148/cjdpr-2020-015","title":"Are Therapeutic Diets in Long-Term Care Affecting Resident Food Intake and Meeting their Nutritional Goals?","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Dietetic Practice and Research","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute for Aging; Université de Moncton; University of Manitoba; University of Waterloo","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Calorie; Malnutrition; Medical prescription; Environmental health; Food intake; Nutrient; Gerontology; Biology; Internal medicine; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.0005261966,0.0001575835,0.0002190697,0.000266802,0.000498201,0.0003994862,0.0003620189,0.0004097223,0.0008954215],"category_scores_gemma":[0.003443138,0.0001254043,0.0002107018,0.0005706596,0.0003843339,0.0002703918,0.000324775,0.0003887185,0.00007745083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009164459,"about_ca_system_score_gemma":0.001295101,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07332068,"about_ca_topic_score_gemma":0.1510707,"domain_scores_codex":[0.9996859,0.00007951892,0.00003610659,0.00004874263,0.00007088752,0.00007889829],"domain_scores_gemma":[0.9987367,0.0001601711,0.0006959692,0.00005488534,0.0001516453,0.0002005776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001446897,0.0001139452,0.994523,0.00002233015,0.00003145646,0.00005152982,0.0002003479,0.00003216048,0.0001892732,0.00001799024,0.0001361031,0.004537098],"study_design_scores_gemma":[0.000002276048,0.00005211856,0.9995926,0.000007263362,0.00001018372,0.00004210732,0.0001714601,0.00003131687,0.00002575483,0.00001079745,0.00005273076,0.000001248809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999156,0.0003094592,0.00003796058,0.0001344279,0.000003720561,0.000003138859,0.00009057042,0.000001594942,0.0002632774],"genre_scores_gemma":[0.9995703,0.0001281381,0.00008932037,0.00005344963,0.000004531034,0.000003484536,0.00008814649,5.765301e-7,0.00006213674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9266793,"threshold_uncertainty_score":0.1457878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1591036839035373,"score_gpt":0.4242074212069337,"score_spread":0.2651037373033964,"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."}}