{"id":"W4281631445","doi":"10.2337/db22-616-p","title":"616-P: Self-Care Scores Predicting Cognition Status in Patients with Type 2 Diabetes","year":2022,"lang":"en","type":"article","venue":"Diabetes","topic":"Neurological Disease Mechanisms and Treatments","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Logistic regression; Medicine; Area under the curve; Diabetes mellitus; Cognition; Type 2 diabetes; Covariate; Internal medicine; Gerontology; Cognitive impairment; Demography; Psychiatry; Statistics; Mathematics; Endocrinology","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":[0.001497846,0.000510336,0.0004128331,0.0007444198,0.0002712337,0.0008379578,0.0003724899,0.0005939847,0.003261077],"category_scores_gemma":[0.004942739,0.0001786285,0.001054958,0.0009603763,0.0001593442,0.0003758309,0.0005041732,0.0008251042,0.0006580437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002507788,"about_ca_system_score_gemma":0.0003524006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004075459,"about_ca_topic_score_gemma":0.004224924,"domain_scores_codex":[0.9994905,0.0001941302,0.00006118153,0.00009223802,0.0001102705,0.00005178912],"domain_scores_gemma":[0.9982209,0.0007145724,0.0004974974,0.00009110511,0.0002413673,0.0002345453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002821086,0.0000964804,0.9956089,0.00001742009,0.0001138063,0.00001990234,0.00003393108,0.0001615823,0.00008203888,0.00001040983,0.0003136662,0.003259767],"study_design_scores_gemma":[0.00002400707,0.0001480357,0.997852,0.00000903177,0.00004683353,0.00006374859,0.00004573075,0.001518122,0.0000761769,0.00003580651,0.0001749307,0.000005581809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973502,0.0001241402,0.0002855934,0.000075073,0.00001463321,0.00002504232,0.00111335,0.0000231271,0.0009888301],"genre_scores_gemma":[0.9976346,0.00004667425,0.0006694892,0.00002622071,0.00001304469,0.00003781877,0.001099822,0.000005108387,0.0004670871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004075459,"threshold_uncertainty_score":0.01090944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044407502196122,"score_gpt":0.2072351547150652,"score_spread":0.1967910796931039,"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."}}