{"id":"W2919541772","doi":"10.1212/cpj.0000000000000604","title":"Montreal Cognitive Assessment as a screening tool","year":2019,"lang":"en","type":"article","venue":"Neurology Clinical Practice","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Veterans Affairs","keywords":"Montreal Cognitive Assessment; Cognition; Psychology; Computer science; Cognitive impairment; Psychiatry","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":[0.002003523,0.0006679816,0.0004879564,0.00263214,0.0004458266,0.0006055566,0.0009018944,0.000349345,0.002173766],"category_scores_gemma":[0.007828257,0.0001269677,0.0005031756,0.001319432,0.0003478853,0.0005368147,0.0005716069,0.0005465468,0.0004104487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009952129,"about_ca_system_score_gemma":0.00197389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03179535,"about_ca_topic_score_gemma":0.04291156,"domain_scores_codex":[0.9984928,0.0005376771,0.0001621462,0.0001407966,0.0005106539,0.0001559309],"domain_scores_gemma":[0.9971436,0.0005411046,0.0009170207,0.0001086184,0.0009274467,0.0003622022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003881412,0.0002451791,0.9350779,0.0001181913,0.000262461,0.0002190822,0.0001659348,0.0008904221,0.0006861328,0.0004725958,0.00574142,0.05573252],"study_design_scores_gemma":[0.00007612955,0.0008916312,0.9870707,0.00009139764,0.000105696,0.0008340529,0.0001309191,0.004775798,0.0009410658,0.0006273685,0.004416349,0.00003885578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9479236,0.004588674,0.008929997,0.001506225,0.000242441,0.001228285,0.007970787,0.0004676768,0.02714239],"genre_scores_gemma":[0.9927071,0.000365034,0.004401695,0.0001166461,0.00005589523,0.0003396902,0.001223571,0.00001203605,0.0007784752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03179535,"threshold_uncertainty_score":0.06322056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1624783382159128,"score_gpt":0.5199676584371916,"score_spread":0.3574893202212788,"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."}}