{"id":"W3008725801","doi":"10.1016/j.nicl.2020.102231","title":"Microstructural imaging in temporal lobe epilepsy: Diffusion imaging changes relate to reduced neurite density","year":2020,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Fonds de Recherche du Québec - Santé; MicroResearch; University College London; Engineering and Physical Sciences Research Council; National Institute for Health and Care Research; Canadian Institutes of Health Research; Medical Research Council; Epilepsy Society","keywords":"White matter; Grey matter; Neurite; Diffusion MRI; Fractional anisotropy; Temporal lobe; Magnetic resonance imaging; Neuroscience; Nuclear magnetic resonance; Epilepsy; Chemistry; Biomedical engineering; Physics; Psychology; Medicine; 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":[0.0001871976,0.0002582158,0.0001515888,0.000448185,0.0001966612,0.0001949402,0.00007501865,0.0001795352,0.001337969],"category_scores_gemma":[0.0007017974,0.00009484351,0.0000978479,0.0002366567,0.0004134816,0.0002541358,0.0002181012,0.0001150312,0.0001441631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002368888,"about_ca_system_score_gemma":0.0001559754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001974323,"about_ca_topic_score_gemma":0.003573795,"domain_scores_codex":[0.9999627,0.000005473511,0.000007059417,0.00001078811,0.000008757964,0.000005319811],"domain_scores_gemma":[0.999762,0.00005423959,0.0001178002,0.00001573893,0.00002410895,0.00002620728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002134028,0.0001185941,0.7961169,0.0003651222,0.0001613414,0.004707482,0.001292437,0.0009416872,0.162604,0.0001681096,0.000254917,0.03113532],"study_design_scores_gemma":[0.00004243547,0.0003617201,0.9807172,0.00001166798,0.00004588338,0.01112068,0.0002865776,0.0008041687,0.00611784,0.0002091811,0.000274853,0.000007794728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993352,0.0001574584,0.000204687,0.00002141331,8.006674e-7,0.000005378362,0.00004924491,0.000005238114,0.000220419],"genre_scores_gemma":[0.9996265,0.00007927099,0.0001553224,0.000007366534,0.000001932813,0.000003410865,0.0000507619,0.000001703338,0.00007380742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001974323,"threshold_uncertainty_score":0.004475951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05958436782099657,"score_gpt":0.3735446266550494,"score_spread":0.3139602588340529,"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."}}