{"id":"W3012343545","doi":"10.1016/j.clnu.2020.03.010","title":"Can the interRAI home care instrument be applied to the definition criteria of the Global Leadership Initiative on Malnutrition (GLIM)? A longitudinal study","year":2020,"lang":"en","type":"article","venue":"Clinical Nutrition","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"KU Leuven","keywords":"Malnutrition; Medicine; Logistic regression; Minimum Data Set; Odds; Odds ratio; Dementia; Gerontology; Nursing homes; Nursing; Internal medicine; Disease","routes":{"ca_aff":false,"ca_fund":false,"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":[0.03104116,0.0005592086,0.000878964,0.001629519,0.0006974197,0.001488792,0.001509579,0.00108449,0.001262664],"category_scores_gemma":[0.04204596,0.0003945474,0.001434547,0.002181144,0.0005336616,0.001800319,0.001567897,0.001059737,0.0004645302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007660055,"about_ca_system_score_gemma":0.001378913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006109752,"about_ca_topic_score_gemma":0.00584376,"domain_scores_codex":[0.9908335,0.006034153,0.0009120384,0.00071342,0.0009651048,0.0005417766],"domain_scores_gemma":[0.9803155,0.005780517,0.006930969,0.002940438,0.003097514,0.0009349285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003774102,0.0001993586,0.9939318,0.00003095562,0.00009075121,0.00003207647,0.0003623359,0.00006332037,0.00005739513,0.00005956425,0.0002630224,0.004532004],"study_design_scores_gemma":[0.00008583024,0.002038722,0.9937132,0.0001342048,0.0001619452,0.0001454954,0.0009400644,0.001324502,0.0001234575,0.0001770581,0.001128382,0.0000271723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941267,0.0006955251,0.002408928,0.0003935572,0.00007282318,0.0003641795,0.000983414,0.00001582968,0.00093913],"genre_scores_gemma":[0.9925506,0.0002660114,0.003499875,0.0002383163,0.00004664304,0.0008376194,0.002277983,0.00001197995,0.0002709268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03104116,"threshold_uncertainty_score":0.1641633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5214972264064773,"score_gpt":0.4553916079659907,"score_spread":0.06610561844048668,"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."}}