{"id":"W4229041422","doi":"10.1038/s41598-022-11418-y","title":"Associations of intracranial artery length and branch number on non-contrast enhanced MRA with cognitive impairment in individuals with carotid atherosclerosis","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health; National Heart, Lung, and Blood Institute; University of Washington","keywords":"Cognitive impairment; Contrast (vision); Cardiology; Carotid arteries; Medicine; Internal medicine; Cognition; Radiology; Computer science; Artificial intelligence; Psychiatry; Disease","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":[0.0003119385,0.0003481104,0.0002308175,0.0009065783,0.0001626256,0.0003180423,0.0001488522,0.0002943004,0.0007212572],"category_scores_gemma":[0.001187835,0.0001247718,0.0002253368,0.0004734735,0.0001519352,0.0001787534,0.0002154628,0.0002686511,0.000131121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007173327,"about_ca_system_score_gemma":0.0001061863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001557162,"about_ca_topic_score_gemma":0.002857906,"domain_scores_codex":[0.9998852,0.00002833699,0.00001437907,0.00002882746,0.00002778291,0.00001543029],"domain_scores_gemma":[0.9994515,0.0001601667,0.0002071271,0.00004714059,0.0000659357,0.00006829231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002497559,0.00003025127,0.9935202,0.00001405831,0.00006712768,0.00008371114,0.00005037407,0.00007097144,0.001422153,0.000009783365,0.0000300645,0.004451589],"study_design_scores_gemma":[0.000001407895,0.00004376261,0.9993472,0.000001537693,0.00002485932,0.0001917441,0.00002646875,0.0001797129,0.0001306257,0.00001693328,0.0000342434,0.000001656832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991956,0.0002356368,0.0002187513,0.000009950499,0.000002535131,0.000003000425,0.00006466504,0.000005895278,0.0002640598],"genre_scores_gemma":[0.9991973,0.0001402902,0.0003435805,0.000006372272,0.0000101225,0.000003877265,0.0001178462,0.000001801457,0.0001788004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001557162,"threshold_uncertainty_score":0.003096223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008008254610272028,"score_gpt":0.2340756392399777,"score_spread":0.2260673846297057,"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."}}