{"id":"W2340516762","doi":"10.1177/1747493016632238","title":"A comparison between the MoCA and the MMSE visuoexecutive sub-tests in detecting abnormalities in TIA/stroke patients","year":2016,"lang":"en","type":"article","venue":"International Journal of Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"National Institute for Health and Care Research","keywords":"Montreal Cognitive Assessment; Mini–Mental State Examination; Medicine; Cognition; Population; Cohort; Mental status examination; Stroke (engine); Psychiatry; Internal medicine; Cognitive impairment","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008379815,0.0001329432,0.0003303024,0.0002833721,0.00003306169,0.00003794464,0.0003322625,0.00004706819,0.00001778035],"category_scores_gemma":[0.0005629231,0.00006384266,0.0001015407,0.00007542736,0.0001980704,0.0001869811,0.0001710906,0.0003649279,0.000004533676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002584894,"about_ca_system_score_gemma":0.00004550399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007864385,"about_ca_topic_score_gemma":0.0000480591,"domain_scores_codex":[0.9981803,0.0001095467,0.0007032469,0.000121892,0.0006901859,0.0001948066],"domain_scores_gemma":[0.9982545,0.0008342519,0.0004663835,0.0001133794,0.0002768405,0.00005458949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008252893,0.00006704427,0.9782674,0.000006144328,0.0002564459,0.00004535559,0.001047769,0.000005613335,0.001098675,0.00006730112,0.0004494205,0.01786354],"study_design_scores_gemma":[0.01032907,0.0002049736,0.9776531,0.0004214265,0.00007884006,0.00006816044,0.00137234,0.00009229706,0.007984107,0.00009413339,0.001614597,0.00008688843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916328,0.000164226,0.0003234562,0.005749768,0.0002635365,0.0002324301,0.00002728992,0.000005083094,0.001601445],"genre_scores_gemma":[0.998923,0.0001104201,0.0001098142,0.0002907491,0.0003003936,0.000008236431,0.000001883306,0.00001105773,0.0002444135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01777665,"threshold_uncertainty_score":0.2603428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583646615774449,"score_gpt":0.3004950288090191,"score_spread":0.2846585626512746,"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."}}