{"id":"W4225585094","doi":"10.3389/fnagi.2022.793991","title":"Analysis of Brain Structural Connectivity Networks and White Matter Integrity in Patients With Mild Cognitive Impairment","year":2022,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alzheimer's Disease Neuroimaging Initiative","keywords":"White matter; Diffusion MRI; Cognitive impairment; Cognition; Montreal Cognitive Assessment; Neuroscience; Psychology; Effects of sleep deprivation on cognitive performance; Cohort; Cognitive decline; Magnetic resonance imaging; Internal medicine; Medicine; Audiology; Dementia; Disease; 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":[0.0003258702,0.0002257719,0.0002374373,0.001010051,0.0001977355,0.0003563465,0.0001688494,0.0002415373,0.0007284147],"category_scores_gemma":[0.001652893,0.00008899772,0.0001939485,0.0005843471,0.0001496425,0.0002311179,0.0002564373,0.0001454339,0.0001016765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001940554,"about_ca_system_score_gemma":0.0001739235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004835656,"about_ca_topic_score_gemma":0.008357438,"domain_scores_codex":[0.9999034,0.00002235465,0.00001157886,0.00003472414,0.00001519296,0.0000127395],"domain_scores_gemma":[0.999721,0.00008661737,0.00009294565,0.00002867344,0.00003211087,0.00003873875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00111841,0.0000869606,0.9692798,0.00007239194,0.0003340109,0.0005211603,0.0005920001,0.001294852,0.007785637,0.0002157429,0.0003745124,0.01832449],"study_design_scores_gemma":[0.000007599899,0.00005819234,0.9976804,0.000003197107,0.00003103106,0.0002317376,0.00007958646,0.001392061,0.0002353421,0.0001757552,0.0001012346,0.000003834736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991554,0.00008866252,0.0002462846,0.0000188871,9.907417e-7,0.000006900083,0.0002691433,0.000006417426,0.0002073639],"genre_scores_gemma":[0.9992725,0.00004323094,0.0002666524,0.000004348774,0.000003886567,0.000007829996,0.0003391732,0.000001471474,0.00006071879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004835656,"threshold_uncertainty_score":0.009615064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01733919498935581,"score_gpt":0.2940408423649896,"score_spread":0.2767016473756337,"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."}}