{"id":"W3195238931","doi":"10.1080/01616412.2021.1939488","title":"Intracranial microembolic signals might be a potential risk factor for cognitive impairment","year":2021,"lang":"en","type":"article","venue":"Neurological Research","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Medicine; Transcranial Doppler; Cognition; Logistic regression; Magnetic resonance imaging; Cognitive impairment; Confidence interval; Internal medicine; Retrospective cohort study; Risk factor; Cardiology; Odds ratio; Radiology; 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":[0.0003102775,0.0003962226,0.0002694075,0.0009781888,0.0003086519,0.0004484442,0.0002224195,0.0003282893,0.00118885],"category_scores_gemma":[0.001957814,0.0001283846,0.0003038812,0.0007558517,0.0002668097,0.0003549588,0.0002462955,0.0004540289,0.0001570617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001476578,"about_ca_system_score_gemma":0.0002629343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001605267,"about_ca_topic_score_gemma":0.001842472,"domain_scores_codex":[0.9998139,0.00003674316,0.00002844489,0.00003541645,0.00004149809,0.00004400458],"domain_scores_gemma":[0.9991323,0.0001527979,0.0004951379,0.00003579891,0.00009605738,0.00008797856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007655747,0.00002114756,0.9977811,0.00001247054,0.00003137466,0.000329672,0.00002288047,0.0000230294,0.0002067558,0.00001272782,0.00004167303,0.001440654],"study_design_scores_gemma":[0.000003830493,0.00007738359,0.9977348,0.000007915528,0.00004026014,0.001539628,0.00007340925,0.0002215341,0.000139725,0.00004129353,0.0001168175,0.000003443052],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981375,0.0008951913,0.0001432162,0.00008071792,0.00001035648,0.00000699517,0.0001015379,0.000005785241,0.0006187235],"genre_scores_gemma":[0.9995004,0.0001865399,0.00009329792,0.00001961073,0.00003245713,0.000002909675,0.00007500961,6.714103e-7,0.00008915259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001605267,"threshold_uncertainty_score":0.00397706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0614974965341257,"score_gpt":0.3717941513314565,"score_spread":0.3102966547973308,"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."}}