{"id":"W4390081154","doi":"10.1093/geroni/igad104.3228","title":"CLINICAL CORRELATION OF MOCA AND TAU IMAGING","year":2023,"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; Medicine; Correlation; Cognitive impairment; Internal medicine; Nuclear medicine; Disease; Mathematics","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":[0.0008608072,0.0003226539,0.0005638766,0.001614827,0.0003516502,0.0007254529,0.0004402005,0.0004547082,0.004345024],"category_scores_gemma":[0.009462682,0.0002052627,0.0002841601,0.0007651191,0.0004039264,0.0004161218,0.0004144186,0.0004173965,0.000545339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000363227,"about_ca_system_score_gemma":0.0004364788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002386211,"about_ca_topic_score_gemma":0.002145937,"domain_scores_codex":[0.9989415,0.0002130185,0.0001321745,0.0003108832,0.0002636221,0.000138815],"domain_scores_gemma":[0.9940947,0.001293595,0.00251888,0.000317462,0.001229455,0.0005459745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009952977,0.00001146431,0.9977755,0.00001033345,0.00004647673,0.000236365,0.00001741749,0.00003663633,0.0003018707,0.00002020857,0.0001507825,0.001293476],"study_design_scores_gemma":[0.000004365619,0.00005379462,0.9979922,0.000008718893,0.00001875009,0.001320588,0.00002492592,0.0002330671,0.0001308541,0.00004324119,0.0001657603,0.000003832976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945093,0.001213494,0.000373125,0.00009350428,0.00002131176,0.0000366064,0.0005400816,0.00003083761,0.003181716],"genre_scores_gemma":[0.9994044,0.00007364612,0.0001258447,0.00001489542,0.00001789804,0.000008630974,0.0002023026,0.000002957084,0.0001494845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004345024,"threshold_uncertainty_score":0.01453555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04663247250195062,"score_gpt":0.4150452066424277,"score_spread":0.3684127341404771,"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."}}