{"id":"W4387336519","doi":"10.1016/j.brainresbull.2023.110771","title":"Altered voxel-based and surface-based morphometry in inflammatory bowel disease","year":2023,"lang":"en","type":"article","venue":"Brain Research Bulletin","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University; Nova Scotia Health Authority; Dalhousie University; University of Manitoba; Health Sciences Centre","funders":"Canadian Institutes of Health Research","keywords":"Gyrification; Grey matter; Voxel-based morphometry; Supramarginal gyrus; Brain morphometry; Atrophy; Fusiform gyrus; Inflammatory bowel disease; Neuroimaging; Voxel; White matter; Pathology; Medicine; Psychology; Neuroscience; Disease; Magnetic resonance imaging; Cerebral cortex; Cognition; Radiology; Functional magnetic resonance imaging","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":[0.0005439874,0.0002036866,0.0002863628,0.001193196,0.0001646911,0.0006104213,0.0001658254,0.0002899255,0.001035167],"category_scores_gemma":[0.002635614,0.0001779054,0.000197961,0.001052394,0.000406305,0.000416501,0.0003996676,0.000215483,0.0001164764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000164828,"about_ca_system_score_gemma":0.0001251979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002808764,"about_ca_topic_score_gemma":0.003480041,"domain_scores_codex":[0.9996601,0.0001073871,0.00002923996,0.00006494906,0.0001055162,0.00003292733],"domain_scores_gemma":[0.9993943,0.0001717851,0.0002345509,0.00008906088,0.0000655035,0.00004479142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002134415,0.00006974315,0.8843621,0.0002177385,0.000516479,0.0008534006,0.001806113,0.004032915,0.04016688,0.001377351,0.0007757887,0.06368692],"study_design_scores_gemma":[0.000009211819,0.00006843688,0.9944698,0.000006828091,0.00002514513,0.0007789618,0.0001590215,0.002870698,0.0007695259,0.000594861,0.0002390578,0.000008487038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972079,0.0003697356,0.001768488,0.00003957278,0.000005188137,0.000007687726,0.0001640921,0.00003635824,0.0004008558],"genre_scores_gemma":[0.9986131,0.00007540227,0.001115222,0.000005704445,0.000003742094,0.000004192541,0.00008733546,0.000007742759,0.00008747716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002808764,"threshold_uncertainty_score":0.005584776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02552480225823171,"score_gpt":0.3099064379567232,"score_spread":0.2843816356984915,"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."}}