{"id":"W2897519381","doi":"10.1016/j.jalz.2018.06.491","title":"P1‐481: DEFAULT MODE NETWORK CONNECTIVITY CHANGE DETECTED BY DIFFUSION TENSOR IMAGING CONTRIBUTES TO COGNITIVE IMPAIRMENTS IN VASCULAR COGNITIVE IMPAIRMENT, NO DEMENTIA","year":2018,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Default mode network; Montreal Cognitive Assessment; Diffusion MRI; White matter; Cognition; Dementia; Psychology; Prefrontal cortex; Audiology; Posterior cingulate; Vascular dementia; Neuroscience; Cardiology; Medicine; Cognitive impairment; Internal medicine; Magnetic resonance imaging; Radiology","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":[0.000248711,0.0003521903,0.0002273939,0.0006099074,0.000382618,0.000381057,0.0002560677,0.000310004,0.004592671],"category_scores_gemma":[0.001243877,0.0001253083,0.0002145853,0.0002762611,0.0002509567,0.0003528824,0.0003788518,0.0003542933,0.000264505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002163639,"about_ca_system_score_gemma":0.0001519243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002315477,"about_ca_topic_score_gemma":0.00301959,"domain_scores_codex":[0.9999217,0.00001355507,0.00000897758,0.00002678777,0.00001386871,0.00001523755],"domain_scores_gemma":[0.9995907,0.00008618875,0.0001641239,0.00002937104,0.00005396358,0.0000756662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001826436,0.0003269919,0.9560859,0.0001028913,0.0001876608,0.002102691,0.0003564465,0.000245276,0.01145344,0.0001870053,0.0009909464,0.02613442],"study_design_scores_gemma":[0.00001967817,0.0001455059,0.9961752,0.00001025574,0.00004373072,0.001861475,0.00007857316,0.0007162033,0.0005035949,0.0002648571,0.0001766171,0.000004275998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985676,0.0001423928,0.0002223466,0.00005686899,0.000006472811,0.00001283995,0.0001918384,0.000005544584,0.0007942523],"genre_scores_gemma":[0.9993715,0.00004764827,0.0001445124,0.00001169102,0.000008848801,0.00000805611,0.0001596625,0.00000134511,0.000246858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004592671,"threshold_uncertainty_score":0.01536399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03658371766038027,"score_gpt":0.3328418265583878,"score_spread":0.2962581088980075,"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."}}