{"id":"W2531875073","doi":"10.17116/jnevro20161166235-40","title":"Screening of cognitive impairment in the old and old-old population with the 3-CT scale","year":2016,"lang":"en","type":"article","venue":"S S Korsakov Journal of Neurology and Psychiatry","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Montreal Cognitive Assessment; Cognitive impairment; Recall; Audiology; Neuropsychology; Population; Cognition; Receiver operating characteristic; Mini–Mental State Examination; Internal medicine; Psychiatry; Psychology; Cognitive psychology","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":[0.0009111871,0.0003540183,0.0004698546,0.001481576,0.0001368667,0.0003113033,0.0002269966,0.000376977,0.0007344826],"category_scores_gemma":[0.002556906,0.0001301572,0.0003227807,0.0004477522,0.0001860515,0.0002831657,0.0002981306,0.0002355386,0.0001965461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000103169,"about_ca_system_score_gemma":0.0001366281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007361146,"about_ca_topic_score_gemma":0.001123692,"domain_scores_codex":[0.9996632,0.0001077356,0.00005955716,0.0000382271,0.00009846895,0.00003284745],"domain_scores_gemma":[0.9991624,0.0002334941,0.0002836068,0.00003896651,0.0001547825,0.0001267865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004293322,0.00009126773,0.9926247,0.00003132584,0.00007262293,0.000162201,0.00004432645,0.00009829884,0.0008485089,0.00001577278,0.0001463463,0.005435146],"study_design_scores_gemma":[0.00002294144,0.0004284926,0.996776,0.0000158841,0.00005152685,0.00143045,0.00005610432,0.0005949615,0.0003794483,0.0000501969,0.0001872057,0.000006791987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981734,0.0006222542,0.0003012242,0.0000189846,0.000009748027,0.00002782912,0.0002317177,0.00001057386,0.0006042698],"genre_scores_gemma":[0.9988507,0.0001568152,0.0005595621,0.00001458333,0.00001269138,0.00002129897,0.0002596438,0.000001104528,0.0001234913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001481576,"threshold_uncertainty_score":0.004818916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00986659963606315,"score_gpt":0.2814592980859262,"score_spread":0.271592698449863,"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."}}