{"id":"W2173066595","doi":"10.1161/strokeaha.115.011226","title":"Montreal Cognitive Assessment","year":2015,"lang":"en","type":"article","venue":"Stroke","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":155,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Medicine; Cutoff; Stroke (engine); Dementia; Magnetic resonance imaging; Internal medicine; Radiology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002293375,0.00007946898,0.0001302754,0.00007148862,0.00003100004,0.00002088676,0.00003705354,0.0000309673,0.000402124],"category_scores_gemma":[0.00008360974,0.00006429126,0.00005405137,0.00007766338,0.00005447498,0.00005706181,0.00004462859,0.0001436226,0.0002686385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006277517,"about_ca_system_score_gemma":0.0002536068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008722655,"about_ca_topic_score_gemma":0.00001546762,"domain_scores_codex":[0.9989765,0.00004105252,0.00009903179,0.0001605655,0.0004784092,0.0002444955],"domain_scores_gemma":[0.9992815,0.00003344477,0.00002062795,0.00009105738,0.0002822644,0.000291106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004495099,0.0005375319,0.9080179,0.00002346323,0.0002064575,0.0003227288,0.0002208714,1.750202e-7,0.001332891,0.0002563053,0.008868343,0.07976377],"study_design_scores_gemma":[0.005288878,0.00143346,0.9822826,0.00004523334,0.0001196963,0.00003649817,0.00200161,0.0001281337,0.003066092,0.0002220947,0.005280953,0.00009477763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5888817,0.00005725504,0.000723634,0.0004513749,0.00006268584,0.0002580667,0.00001868347,0.00003554125,0.4095111],"genre_scores_gemma":[0.9762503,0.00001105572,0.0003365552,0.0003315085,0.0001328006,0.00004198787,0.00004815933,0.000009603044,0.02283805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3873686,"threshold_uncertainty_score":0.4402976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03612417086000488,"score_gpt":0.37318559704804,"score_spread":0.3370614261880351,"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."}}