{"id":"W2612583120","doi":"10.1042/cs20170146","title":"Using DTI to assess white matter microstructure in cerebral small vessel disease (SVD) in multicentre studies","year":2017,"lang":"en","type":"article","venue":"Clinical Science","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NIHR Newcastle Biomedical Research Centre; University of Cambridge; Cambridge University Hospitals; Stroke Association; British Heart Foundation; National Institute for Health and Care Research","keywords":"Hyperintensity; Fractional anisotropy; White matter; Diffusion MRI; Neuropsychology; Montreal Cognitive Assessment; Cognition; Medicine; Psychology; Internal medicine; Magnetic resonance imaging; Radiology; Cognitive impairment; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004162462,0.00009824853,0.0002286452,0.000058644,0.0002060679,0.00006571554,0.0004420316,0.00003281675,0.00001089905],"category_scores_gemma":[0.001411416,0.00007861536,0.0000399967,0.0002240755,0.0007064172,0.0001673587,0.000401142,0.0002601584,0.00001402213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007292228,"about_ca_system_score_gemma":0.0001078407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002394298,"about_ca_topic_score_gemma":0.00003426394,"domain_scores_codex":[0.9987144,0.00002251014,0.0003211762,0.0005082249,0.0001400691,0.0002935473],"domain_scores_gemma":[0.9987874,0.00009043269,0.0001080263,0.0006796722,0.00008193553,0.0002525276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003277856,0.00007026598,0.9961799,0.00001815895,9.12608e-7,0.00003207023,0.00008946715,0.0000434788,0.002304714,0.0000571636,0.0001490035,0.001022049],"study_design_scores_gemma":[0.0004369028,0.00001890005,0.995855,0.0002040786,0.000009531957,0.00000359147,0.00007353747,0.001697726,0.0002361151,0.000840435,0.0005305054,0.00009372073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889258,0.00002784439,0.0008469573,0.009490193,0.0001360232,0.0004075023,0.0000058292,0.00002539491,0.0001344845],"genre_scores_gemma":[0.9623711,0.00002106089,0.0349086,0.002478126,0.00006610368,0.0000142362,6.77367e-7,0.000008225253,0.0001319212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03406164,"threshold_uncertainty_score":0.3205841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4690996578450013,"score_gpt":0.5580194649050302,"score_spread":0.08891980706002889,"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."}}