{"id":"W2980976190","doi":"10.1016/j.jalz.2019.06.4200","title":"IC‐P‐038: DIFFERENTIAL GREY AND WHITE MATTER MICROSTRUCTURAL ABNORMALITIES IN EARLY AND LATE‐ONSET ALZHEIMER'S DISEASE AND MILD COGNITIVE IMPAIRMENT","year":2019,"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":"White matter; Precuneus; Diffusion MRI; Grey matter; Fractional anisotropy; Dementia; Cardiology; Cognitive decline; Medicine; Internal medicine; Age of onset; Psychology; Audiology; Disease; Neuroscience; Cognition; 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":[0.0002573595,0.0003976029,0.0003298186,0.0003589082,0.0002589026,0.0002736608,0.000228357,0.0003742039,0.002562145],"category_scores_gemma":[0.0005162804,0.0001189605,0.000128032,0.0002578203,0.0002174913,0.0001488595,0.000285254,0.0002538754,0.00056806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001735031,"about_ca_system_score_gemma":0.0002110655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004192496,"about_ca_topic_score_gemma":0.002812658,"domain_scores_codex":[0.9999222,0.00001164951,0.00000850004,0.00002535936,0.00001342944,0.00001889001],"domain_scores_gemma":[0.9997995,0.00002488061,0.0000467272,0.00002083738,0.00003485616,0.00007323406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01803395,0.001526054,0.8133411,0.0002103207,0.0002514024,0.006108298,0.0006360962,0.000212329,0.1048416,0.0001523584,0.001934224,0.05275216],"study_design_scores_gemma":[0.00006789023,0.0008335536,0.9950539,0.000005480855,0.00002661981,0.002156168,0.0000545774,0.0001593774,0.001117229,0.00004630979,0.0004746167,0.000004343154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991198,0.0001098056,0.00004268613,0.00001689493,0.000004540037,0.000009454023,0.0001293317,0.00000680723,0.0005606994],"genre_scores_gemma":[0.9988511,0.00004484223,0.00009491498,0.00002948281,0.000009878407,0.00001126805,0.0003822543,0.00000532421,0.0005709895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004192496,"threshold_uncertainty_score":0.008571208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0245554911583947,"score_gpt":0.2911817093995527,"score_spread":0.2666262182411581,"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."}}