{"id":"W2912787525","doi":"10.1161/str.50.suppl_1.tp569","title":"Abstract TP569: The Evaluation of Cognitive Function Using Neural Network Analysis Before &amp; After Revascularization Surgery for Internal Carotid Artery Stenosis","year":2019,"lang":"en","type":"article","venue":"Stroke","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Carotid endarterectomy; Revascularization; Montreal Cognitive Assessment; Cardiology; Internal medicine; Stenosis; Internal carotid artery; Endarterectomy; Cognition; Stroke (engine); Surgery; Radiology; Cognitive impairment; 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":[0.0003796552,0.0003291059,0.0002421395,0.0005183153,0.0001882187,0.0003612154,0.000192461,0.0002483702,0.002019173],"category_scores_gemma":[0.0008446022,0.00005387677,0.0001977135,0.0002849178,0.0001157146,0.0002160429,0.0001877865,0.0002018369,0.0002917865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001839378,"about_ca_system_score_gemma":0.0002238274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001391512,"about_ca_topic_score_gemma":0.001352589,"domain_scores_codex":[0.9998851,0.0000297177,0.00001254126,0.00003094221,0.00002621738,0.00001556521],"domain_scores_gemma":[0.9997994,0.00005474583,0.00004970376,0.0000140484,0.00004807183,0.00003406463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005942488,0.001011934,0.7150126,0.000369257,0.0004726072,0.001250463,0.0002172413,0.002694467,0.03868137,0.000155673,0.002511889,0.23168],"study_design_scores_gemma":[0.00007569219,0.001348963,0.980631,0.0000214406,0.0001603763,0.0008940129,0.00009187975,0.01092715,0.005032808,0.0002484286,0.0005503666,0.0000178152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959673,0.0003504083,0.001862724,0.00008910082,0.00003907933,0.00003889406,0.0004914895,0.00002916121,0.001131828],"genre_scores_gemma":[0.9974896,0.0001869495,0.001225949,0.0000166581,0.00003547187,0.00004316726,0.0004682682,0.000003530183,0.0005305131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002019173,"threshold_uncertainty_score":0.006754816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02881287639520506,"score_gpt":0.2853145908364965,"score_spread":0.2565017144412914,"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."}}