{"id":"W2612780076","doi":"10.1161/strokeaha.116.016044","title":"White Matter Imaging Correlates of Early Cognitive Impairment Detected by the Montreal Cognitive Assessment After Transient Ischemic Attack and Minor Stroke","year":2017,"lang":"en","type":"article","venue":"Stroke","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Montreal Cognitive Assessment; Stroke (engine); Cognitive impairment; Hyperintensity; Cognition; Minor stroke; Ischemic stroke; White matter; Leukoaraiosis; Neuroimaging; Cardiology; Magnetic resonance imaging; Psychiatry; Radiology; Ischemia; Stenosis","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":[0.000313691,0.0003137745,0.0003923354,0.0001100602,0.0002979415,0.00016551,0.0001687644,0.00007697295,0.0007648933],"category_scores_gemma":[0.0000439334,0.0002234348,0.000176161,0.00005127429,0.0006624502,0.0002358517,0.0001721504,0.0004351141,0.00004356454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005432996,"about_ca_system_score_gemma":0.0001009394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002496643,"about_ca_topic_score_gemma":0.00005188011,"domain_scores_codex":[0.9978066,0.0001118253,0.0003687633,0.0004820639,0.0006511526,0.0005795609],"domain_scores_gemma":[0.9986212,0.0001764968,0.0002268164,0.0003248514,0.000424827,0.0002258542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001646372,0.0003380513,0.9810616,0.00008905085,0.0004505917,0.00007723508,0.0008908816,3.99758e-8,0.005248461,3.214313e-7,0.001690718,0.008506643],"study_design_scores_gemma":[0.006194058,0.0009458673,0.9794617,0.0004278902,0.0007256866,0.00004233198,0.002329524,0.0001571522,0.009412938,0.000002608916,0.0000901847,0.0002100864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756563,0.0004513991,0.0003258004,0.0008989667,0.00008041841,0.001445279,0.0008666165,0.00002272957,0.02025247],"genre_scores_gemma":[0.9915296,0.00005923764,0.00005443251,0.000249044,0.00005490005,0.0002770466,0.00006585535,0.00003604961,0.0076738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01587331,"threshold_uncertainty_score":0.9111407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009837427110829406,"score_gpt":0.2996056744705628,"score_spread":0.2897682473597334,"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."}}