{"id":"W6946061051","doi":"10.26226/morressier.5cb58cfec668520010b56e0a","title":"IMAGING MARKER FOR COGNITIVE IMPAIRMENT DUE TO CEREBRAL WHITE MATTER LESIONS BASED ON SKELETONIZATION OF WHITE MATTER TRACTS AND DIFFUSION HISTOGRAMS","year":2017,"lang":"en","type":"other","venue":"BiblioBoard Library Catalog (Open Research Library)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hyperintensity; Cognition; White matter; Neuropsychology; Diffusion MRI; Skeletonization; Montreal Cognitive Assessment; Cognitive impairment; Cognitive decline; Magnetic resonance imaging","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":[0.0002964539,0.0004829602,0.0003441,0.002181487,0.0002474317,0.0004286079,0.0002271293,0.0002463752,0.002703151],"category_scores_gemma":[0.0008001198,0.0001187143,0.0002755231,0.0007740688,0.0002256626,0.0003411353,0.0003112461,0.0002408286,0.0002609735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002101817,"about_ca_system_score_gemma":0.0001614562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001454326,"about_ca_topic_score_gemma":0.001810282,"domain_scores_codex":[0.9998403,0.00002577675,0.0000290389,0.0000435574,0.0000352867,0.00002607582],"domain_scores_gemma":[0.9995864,0.00004911348,0.0002324617,0.00002614369,0.00005599593,0.00004990018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006224465,0.0001397059,0.9759358,0.00007533991,0.0001820376,0.0006455494,0.0001385425,0.0002377575,0.006417382,0.0001217879,0.0002977675,0.01518593],"study_design_scores_gemma":[0.00001245646,0.0002399043,0.9960485,0.000008655315,0.0000471798,0.001570094,0.00009032249,0.0007130582,0.0008729633,0.0001361026,0.0002530431,0.000007707556],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9974059,0.0005800528,0.0007317354,0.00002521235,0.000005034715,0.00003867788,0.000360067,0.00002347272,0.0008297546],"genre_scores_gemma":[0.99801,0.0002399198,0.0007726853,0.00001158641,0.00001419212,0.00002624188,0.0004227406,0.000003309851,0.0004994569],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.002703151,"threshold_uncertainty_score":0.009042978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03677705516148452,"score_gpt":0.3222601217945371,"score_spread":0.2854830666330526,"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."}}