{"id":"W2765115028","doi":"10.1016/j.jalz.2017.07.657","title":"[P4–495]: NEUROIMAGING BIOMARKERS MODERATE THE ASSOCIATION BETWEEN DEMOGRAPHIC RISK AND DEMENTIA RATING SCALE ACROSS NEURODEGENERATIVE DISEASES: THE SUNNYBROOK DEMENTIA STUDY","year":2017,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Hospital; University of Toronto","funders":"","keywords":"Dementia; Neuroimaging; Clinical Dementia Rating; Disease; Cognitive decline; Medicine; Psychology; Hyperintensity; Rating scale; Internal medicine; Clinical psychology; Psychiatry; Magnetic resonance imaging","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001718348,0.0009268068,0.0006552269,0.000511523,0.001035723,0.001598189,0.00113959,0.00151314,0.009554263],"category_scores_gemma":[0.004017339,0.000445515,0.0008617144,0.0006063877,0.0004518268,0.001080756,0.0007951027,0.001159897,0.001954432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003150465,"about_ca_system_score_gemma":0.000662705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01141005,"about_ca_topic_score_gemma":0.01192411,"domain_scores_codex":[0.9995333,0.0001540608,0.00005118092,0.0001331195,0.00007317246,0.00005518446],"domain_scores_gemma":[0.9984244,0.0002373743,0.0005192753,0.0001827344,0.0002190188,0.0004171734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002578496,0.0004273476,0.9896663,0.00003498432,0.0003984008,0.000249914,0.0001676396,0.00008079777,0.0005844961,0.00009353284,0.00144996,0.004268046],"study_design_scores_gemma":[0.0001405019,0.0003200007,0.9974394,0.00001541442,0.00014693,0.0003303829,0.0001053374,0.0006140176,0.0001172044,0.0001624548,0.0005982387,0.00001015622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949469,0.0004737445,0.0002968884,0.0003944034,0.00011651,0.00004682138,0.001158664,0.00002538962,0.002540799],"genre_scores_gemma":[0.9965945,0.00007512709,0.0003337894,0.0001546113,0.0001050357,0.00003242678,0.001125287,0.00001213073,0.00156711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01141005,"threshold_uncertainty_score":0.03196222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02759953360386789,"score_gpt":0.3260259209354386,"score_spread":0.2984263873315707,"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."}}