{"id":"W7083019414","doi":"10.1016/j.clnesp.2025.07.703","title":"Using item response theory to identify essential items of screen-14 to determine nutrition risk in community-living older adults","year":2025,"lang":"en","type":"article","venue":"Clinical Nutrition ESPEN","topic":"Physics and Engineering Research Articles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Institute for Aging; University of Waterloo","funders":"","keywords":"Item response theory; Differential item functioning; MEDLINE; Risk assessment; Psychometrics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002495745,0.0001486744,0.0003412435,0.0004260449,0.00008875664,0.00005789082,0.0003071332,0.0001144887,0.00002143762],"category_scores_gemma":[0.002388767,0.0001728792,0.0001262494,0.0007384176,0.00005666296,0.0001876866,0.0001802028,0.0005263448,0.00002099652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009105785,"about_ca_system_score_gemma":0.00001951324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007798036,"about_ca_topic_score_gemma":0.0000698138,"domain_scores_codex":[0.9978617,0.0007216648,0.0007037249,0.0002031408,0.0001918879,0.000317911],"domain_scores_gemma":[0.9959105,0.003339364,0.00004305982,0.000410149,0.0001209426,0.0001759783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.009391534,0.007297405,0.0154498,0.003724311,0.000307736,0.00005414883,0.002837852,0.03856204,0.8010917,0.0006831522,0.004476106,0.1161242],"study_design_scores_gemma":[0.0102775,0.0008854748,0.6236063,0.02355778,0.0001059293,0.000005863854,0.001957541,0.2201499,0.09715328,0.01993463,0.001274307,0.001091553],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793962,0.0001501789,0.0192905,0.0001146728,0.0002117149,0.0006387352,0.00005233446,0.00009764455,0.00004805157],"genre_scores_gemma":[0.997048,0.0001205407,0.00254086,0.00005743099,0.0001160299,0.00007052017,0.00001051569,0.00002769983,0.000008456534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7039384,"threshold_uncertainty_score":0.7049807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04238522550838036,"score_gpt":0.3890711220409905,"score_spread":0.3466858965326101,"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."}}