{"id":"W2361372051","doi":"","title":"Study of the Correlation between the Cognitive Impairment and White Matter Changes in Patients with Acute Ischemic Stroke","year":2010,"lang":"en","type":"article","venue":"Chinese Journal of Stroke","topic":"Neurological Disease Mechanisms and Treatments","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Leukoaraiosis; Medicine; Montreal Cognitive Assessment; Rating scale; White matter; Cognition; Magnetic resonance imaging; Hyperintensity; Correlation; Cardiology; Stroke (engine); Internal medicine; Cognitive impairment; Spearman's rank correlation coefficient; Physical therapy; Psychiatry; Radiology; Psychology; Developmental psychology","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":[0.000625147,0.0003852726,0.0005231216,0.001037522,0.000429729,0.0004417963,0.0002318245,0.0004284567,0.001806648],"category_scores_gemma":[0.0038425,0.0001997108,0.0002966865,0.0007507256,0.0002621743,0.000424371,0.000324823,0.0004410288,0.0003501555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001802109,"about_ca_system_score_gemma":0.0003456031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00173822,"about_ca_topic_score_gemma":0.002119956,"domain_scores_codex":[0.9995315,0.00009896403,0.00008746348,0.00007577524,0.0001286379,0.00007762985],"domain_scores_gemma":[0.998395,0.00034068,0.0006659347,0.00006796913,0.0002656064,0.0002647983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001646387,0.00006476086,0.9982132,0.00001407141,0.00005652503,0.0001343889,0.00004547145,0.00002543158,0.00009493274,0.000007144442,0.00005116053,0.001128321],"study_design_scores_gemma":[0.00001113124,0.0002369607,0.9989809,0.000003254734,0.00002178266,0.0004399871,0.00007612227,0.00009511972,0.0000318636,0.00001614447,0.00008382774,0.000002885127],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991788,0.0002307034,0.00006023948,0.00003098031,0.00000682672,0.00001163293,0.0001143541,0.000002218452,0.0003642229],"genre_scores_gemma":[0.9994923,0.00008574894,0.000061495,0.00002069212,0.00002127019,0.00001030045,0.0001961683,6.49516e-7,0.0001113018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001806648,"threshold_uncertainty_score":0.006043851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009683457784539938,"score_gpt":0.2413301803884405,"score_spread":0.2316467226039005,"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."}}