{"id":"W2921713611","doi":"10.1016/j.nicl.2019.101749","title":"Deep/mixed cerebral microbleeds are associated with cognitive dysfunction through thalamocortical connectivity disruption: The Taizhou Imaging Study","year":2019,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Science and Technology Cooperation Programme; National Key Research and Development Program of China; Science and Technology Commission of Shanghai Municipality; Fudan University","keywords":"Fractional anisotropy; Cognition; White matter; Executive dysfunction; Medicine; Magnetic resonance imaging; Neuropsychology; Internal medicine; Logistic regression; Montreal Cognitive Assessment; Population; Psychology; Cardiology; Audiology; Neuroscience; Psychiatry; Radiology; Cognitive impairment","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001544747,0.0003586958,0.0007872476,0.00006611184,0.0003432978,0.0001338542,0.0002209048,0.0001818357,0.0005832417],"category_scores_gemma":[0.002879284,0.0002184723,0.0002971227,0.0005200948,0.0005851934,0.0003611543,0.0002142797,0.002140289,0.0004662637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009977091,"about_ca_system_score_gemma":0.0001756661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003645794,"about_ca_topic_score_gemma":0.000101546,"domain_scores_codex":[0.995582,0.001156918,0.000734719,0.0009839251,0.0008376488,0.0007048228],"domain_scores_gemma":[0.9958792,0.002366986,0.0002746217,0.0006577811,0.0006015144,0.0002198777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001852092,0.002885628,0.9858986,0.00004114481,0.0002056314,0.0008176413,0.0002763689,0.000004191399,0.0002756616,0.00005713507,0.0002915133,0.007394394],"study_design_scores_gemma":[0.007906852,0.00265386,0.9631684,0.0001227333,0.0004491376,0.0002552491,0.003263837,0.02166316,0.0001531912,0.00006370199,0.00003377487,0.0002660754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894588,0.0000466693,0.001309207,0.003728931,0.0006016418,0.002397026,0.00001404496,0.0001940843,0.002249585],"genre_scores_gemma":[0.9967731,0.000008813245,0.0001073654,0.001549271,0.0004748101,0.00007159571,0.00004510745,0.00007018159,0.000899747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02273017,"threshold_uncertainty_score":0.9298608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04778181344866269,"score_gpt":0.353272213956677,"score_spread":0.3054904005080143,"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."}}