{"id":"W2206916168","doi":"10.1159/000439045","title":"Cognitive Function and 3-Tesla Magnetic Resonance Imaging Tractography of White Matter Hyperintensities in Elderly Persons","year":2015,"lang":"en","type":"article","venue":"Dementia and Geriatric Cognitive Disorders Extra","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Toronto; Kingston General Hospital","funders":"","keywords":"Hyperintensity; Magnetic resonance imaging; White matter; Cognition; Tractography; Psychology; Diffusion MRI; Medicine; Neuroscience; Radiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009122599,0.0001609908,0.0002220048,0.0002488283,0.00007578346,0.0000156436,0.00002484826,0.0000347891,0.00003699548],"category_scores_gemma":[0.00003689894,0.0001589086,0.00005054244,0.000313571,0.0002187421,0.000123537,0.00004325156,0.000141032,0.000001660991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005205226,"about_ca_system_score_gemma":0.00002243382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004969392,"about_ca_topic_score_gemma":0.00001365121,"domain_scores_codex":[0.9991146,0.00003242938,0.0002155699,0.0003273803,0.0001172089,0.0001928147],"domain_scores_gemma":[0.9995373,0.00007545022,0.00007635494,0.00007696122,0.0001504078,0.00008348075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003170078,0.000153779,0.9148973,0.00005044248,0.00001978591,0.000006503543,0.0009939541,1.003677e-7,0.0003639729,0.0000621849,0.0002118288,0.08292317],"study_design_scores_gemma":[0.00259198,0.0003790678,0.9863983,0.0001317004,0.0003857986,0.0000376715,0.006919337,0.0001316098,0.00006680322,0.001966308,0.0008142438,0.0001771347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691779,0.01704212,0.009691402,0.0008277239,0.00003259558,0.0006456368,0.00005443043,0.00004631008,0.002481876],"genre_scores_gemma":[0.9979803,0.000654985,0.000687173,0.0004277081,0.00001693351,0.00009019206,0.00003205844,0.0000199333,0.00009073089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08274604,"threshold_uncertainty_score":0.6480103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02035580717104789,"score_gpt":0.2756507647423577,"score_spread":0.2552949575713098,"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."}}