{"id":"W2017257126","doi":"10.3148/66.3.2005.155","title":"<i>Assessing Nutritional Risk</i>of Long-Term Care Residents","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Dietetic Practice and Research","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Medicine; Minimum Data Set; Body mass index; Referral; Bivariate analysis; Risk assessment; Gerontology; Nursing homes; Family medicine; Internal medicine; Nursing; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004355731,0.0002779849,0.0003515162,0.001180562,0.00039869,0.000501956,0.0004664008,0.0003430863,0.001141693],"category_scores_gemma":[0.01820643,0.0001998766,0.0005437816,0.0007068699,0.0003151922,0.0004188109,0.000800262,0.0003038794,0.0003253809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007188483,"about_ca_system_score_gemma":0.0009547459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009134589,"about_ca_topic_score_gemma":0.01502184,"domain_scores_codex":[0.9984457,0.0005449459,0.000400811,0.0001062729,0.0003986951,0.0001036281],"domain_scores_gemma":[0.9919192,0.002104406,0.002403422,0.0004094697,0.002775343,0.0003880654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001189185,0.00004676645,0.9909132,0.00002875573,0.00003411969,0.00002664761,0.0002122122,0.0000870004,0.0002270854,0.00002405275,0.0003402694,0.007941067],"study_design_scores_gemma":[0.00001298533,0.0003018102,0.9974301,0.00003249386,0.00002159673,0.0001322845,0.0002732235,0.0007835663,0.0005434139,0.00005817968,0.000403079,0.000007263106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964197,0.0001270636,0.0006456937,0.0001350248,0.00001117199,0.0001201703,0.0005035605,0.00002679551,0.002010895],"genre_scores_gemma":[0.9950857,0.00007563111,0.003482581,0.00004552884,0.00001168113,0.0001409946,0.0007536269,0.000003659254,0.0004007254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009134589,"threshold_uncertainty_score":0.02303559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1222846467964507,"score_gpt":0.4823100992142212,"score_spread":0.3600254524177705,"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."}}