{"id":"W1534377073","doi":"10.3233/jad-2011-0058","title":"Complexity of MRI White Matter Hyperintensity Assessments in Relation to Cognition in Aging and Dementia from the Sunnybrook Dementia Study","year":2011,"lang":"en","type":"article","venue":"Journal of Alzheimer s Disease","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Heart and Stroke Foundation; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Dementia; Hyperintensity; Clinical Dementia Rating; Psychology; Rating scale; Intraclass correlation; Cognition; Verbal fluency test; Audiology; Magnetic resonance imaging; White matter; Cognitive decline; Clinical psychology; Internal medicine; Psychiatry; Medicine; Cognitive impairment; Psychometrics; Disease; Developmental psychology; Neuropsychology; Radiology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002158739,0.00096522,0.001088332,0.003937787,0.001473824,0.001558833,0.0007594057,0.0007530291,0.001980852],"category_scores_gemma":[0.007381664,0.0003782971,0.00073338,0.001826303,0.0005040932,0.0009467644,0.001448752,0.0006254889,0.0003156069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00154836,"about_ca_system_score_gemma":0.0008155183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02403041,"about_ca_topic_score_gemma":0.04076483,"domain_scores_codex":[0.9986935,0.0002392512,0.0002744368,0.0002339065,0.0004484502,0.0001104846],"domain_scores_gemma":[0.9962193,0.000441081,0.001721169,0.0001924457,0.0007182888,0.0007076946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004893706,0.00004562007,0.9963316,0.00003583012,0.0002194248,0.0001319553,0.0001841175,0.00008413156,0.0001046346,0.00001473399,0.0003576931,0.002000773],"study_design_scores_gemma":[0.00002335406,0.00004772041,0.9994196,0.00001215696,0.00004127754,0.0001173479,0.00007918032,0.00008858545,0.00003476207,0.00002378456,0.0001057056,0.000006637265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968126,0.0008256197,0.0000836276,0.00008610098,0.00001703157,0.00005761334,0.00128342,0.000009600565,0.0008244442],"genre_scores_gemma":[0.9971378,0.0001975054,0.0002189354,0.0000259724,0.00002491178,0.00004587898,0.002056038,0.000005015087,0.0002878539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02403041,"threshold_uncertainty_score":0.04778111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08208655322764356,"score_gpt":0.3477127340216741,"score_spread":0.2656261807940306,"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."}}