{"id":"W4386447231","doi":"10.1139/apnm-2023-0141","title":"Development and validation of frailty and malnutrition knowledge assessment scale for community-dwelling older adults","year":2023,"lang":"en","type":"review","venue":"Applied Physiology Nutrition and Metabolism","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Cronbach's alpha; Malnutrition; Construct validity; Gerontology; Reliability (semiconductor); Scale (ratio); Confirmatory factor analysis; Psychological intervention; Population; Psychology; Medicine; Activities of daily living; Psychometrics; Clinical psychology; Environmental health; Physical therapy; Psychiatry; Structural equation modeling; Machine learning; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01110416,0.0004918695,0.001092126,0.002958285,0.0007152764,0.0008746927,0.0007906065,0.0009991946,0.00194763],"category_scores_gemma":[0.01906715,0.0004950056,0.002078146,0.001349046,0.0003731841,0.001159167,0.001365515,0.001417586,0.000904804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007873905,"about_ca_system_score_gemma":0.002567455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002091698,"about_ca_topic_score_gemma":0.003702772,"domain_scores_codex":[0.9953264,0.0012313,0.001179917,0.0002759353,0.001765386,0.0002211064],"domain_scores_gemma":[0.9904552,0.002615372,0.001173247,0.0003392893,0.004913073,0.0005038265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001101705,0.004024293,0.6579088,0.001309309,0.0004623636,0.0004216364,0.005173299,0.00168435,0.004333888,0.0009560185,0.009098257,0.3135261],"study_design_scores_gemma":[0.0004996348,0.002474797,0.979221,0.0005597027,0.0001354329,0.000347572,0.001920382,0.004395099,0.001033123,0.0006390055,0.008695386,0.00007893995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9535115,0.001331893,0.01290332,0.00135076,0.0002783035,0.01739836,0.003430317,0.0002060207,0.009589532],"genre_scores_gemma":[0.8398201,0.002329266,0.1084589,0.0007638769,0.0001387177,0.03691604,0.007274114,0.00004694575,0.004251952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01110416,"threshold_uncertainty_score":0.05872512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1188537483542686,"score_gpt":0.4112231745582675,"score_spread":0.2923694262039989,"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."}}