{"id":"W1588099890","doi":"10.1161/str.46.suppl_1.47","title":"Abstract 47: Renal Function, MRI Brain Changes and Post-stroke Cognitive Impairment","year":2015,"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":"Titan Medical (Canada)","funders":"","keywords":"Medicine; Montreal Cognitive Assessment; Hyperintensity; Stroke (engine); Internal medicine; Renal function; Odds ratio; Cohort; Cardiology; Brain size; Confidence interval; Kidney disease; Atrophy; Cognitive decline; Dementia; Magnetic resonance imaging; Disease; Radiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006109742,0.0003674646,0.0004038922,0.0006400388,0.000282333,0.0006169151,0.0003441631,0.0005427268,0.004381952],"category_scores_gemma":[0.001331266,0.0001294244,0.0004328856,0.0009973244,0.0001996246,0.0003457412,0.0003006986,0.0004881511,0.0005640362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001650565,"about_ca_system_score_gemma":0.0003249491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002680912,"about_ca_topic_score_gemma":0.002073727,"domain_scores_codex":[0.9997676,0.00005659195,0.00002894193,0.0000486463,0.00004963714,0.00004858853],"domain_scores_gemma":[0.9991618,0.0001420523,0.0004245334,0.00005269612,0.00008468686,0.0001342528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006348485,0.0001301689,0.995776,0.00005106006,0.0001789812,0.00008535455,0.00002396396,0.00004342073,0.0002932898,0.00001836517,0.0002488235,0.00251575],"study_design_scores_gemma":[0.00001154564,0.0001207015,0.9993358,0.000008579633,0.00006122615,0.0001637191,0.00001114815,0.0001094512,0.00005835469,0.00002755695,0.00009001293,0.000001736259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963655,0.001564815,0.0001046652,0.0001337007,0.00002090069,0.00001107492,0.001136856,0.000008852239,0.0006534595],"genre_scores_gemma":[0.9984982,0.0002911077,0.00008535232,0.00005311207,0.00004998066,0.00001235361,0.000583092,0.000002338654,0.00042441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004381952,"threshold_uncertainty_score":0.01465911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137376442518666,"score_gpt":0.2510953166406513,"score_spread":0.2373576723887847,"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."}}