{"id":"W2899815202","doi":"10.1093/geroni/igy023.497","title":"CAN MOCA SCORES PREDICT AMYLOID PET SCAN POSITIVITY? SENSITIVITY AND SPECIFICITY ANALYSES IN A MEMORY CLINIC SAMPLE","year":2018,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Receiver operating characteristic; Medicine; Internal medicine; Logistic regression; Area under the curve; Univariate analysis; Multivariate analysis; Confidence interval; Nuclear medicine; Cognitive impairment; 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":[0.002837559,0.0004374165,0.0005120116,0.001837196,0.0003511203,0.0008882162,0.0004248439,0.0005825665,0.001069306],"category_scores_gemma":[0.01003758,0.0003337344,0.0004513554,0.0008346913,0.0004936852,0.0006513036,0.0004404843,0.0004243491,0.0003812307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002558581,"about_ca_system_score_gemma":0.0002248597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001409876,"about_ca_topic_score_gemma":0.002533505,"domain_scores_codex":[0.9986419,0.000510131,0.0001775436,0.0002500363,0.0002834791,0.0001369527],"domain_scores_gemma":[0.9956275,0.002027496,0.001202046,0.0002804925,0.0005411735,0.0003211902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000114645,0.00001731895,0.998639,0.000004170749,0.00004229656,0.00004483691,0.00003091707,0.00002888245,0.000202253,0.000004829021,0.00004294576,0.0008278486],"study_design_scores_gemma":[0.00001146436,0.0001262608,0.9979206,0.000004942361,0.00006037404,0.0007227395,0.00008702456,0.0006860585,0.0002255268,0.00003593517,0.0001147892,0.000004251271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992234,0.0001953338,0.0001558926,0.0000225817,0.00000503074,0.000009930004,0.0001102265,0.000005491636,0.0002721319],"genre_scores_gemma":[0.9996154,0.00003998482,0.0001206169,0.00001283719,0.00001136915,0.000008870617,0.0001594756,0.000002013029,0.00002943901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002837559,"threshold_uncertainty_score":0.0150066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05915217031433296,"score_gpt":0.3853597581273593,"score_spread":0.3262075878130263,"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."}}