{"id":"W4402825920","doi":"10.1007/s00330-024-11089-5","title":"Quantitative MRI distinguishes different leukodystrophies and correlates with clinical measures","year":2024,"lang":"en","type":"article","venue":"European Radiology","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Hersenstichting; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; University College London Hospitals NHS Foundation Trust; ZonMw; National Institute for Health and Care Research","keywords":"White matter; Diffusion MRI; Neuroradiology; Medicine; Relaxometry; Fractional anisotropy; Neurology; Nuclear medicine; Magnetic resonance imaging; Multiple sclerosis; Nuclear magnetic resonance; Pathology; Radiology; Spin echo","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001958182,0.0001343735,0.0001468175,0.00003282237,0.00005855989,0.00004150907,0.00008006182,0.00004766386,0.00001358021],"category_scores_gemma":[0.0001598093,0.00009070912,0.00005681243,0.00003673899,0.0003614984,0.000002735734,0.0000582482,0.00009372544,0.00002385947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003928193,"about_ca_system_score_gemma":0.00002357964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001236226,"about_ca_topic_score_gemma":0.000007574901,"domain_scores_codex":[0.9989025,0.000358695,0.0001868566,0.0003598051,0.00005273607,0.0001394156],"domain_scores_gemma":[0.9996051,0.0000641662,0.00003785946,0.0001573458,0.00003435235,0.0001011661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002895629,0.0002840428,0.7719075,0.0002295606,0.001385889,0.001129998,0.0006838582,0.0004172104,0.08942786,0.03270145,0.07249559,0.02644141],"study_design_scores_gemma":[0.001297609,0.002741336,0.8488262,0.00009169581,0.0001331589,0.0004331924,0.0002541667,0.001360961,0.0007706796,0.0003264834,0.1432283,0.0005362569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859133,0.005863669,0.003200027,0.0002845418,0.0002824083,0.00008077953,0.00001333481,0.00004605493,0.004315895],"genre_scores_gemma":[0.997166,0.0004781353,0.0003501241,0.0001445725,0.0003000612,0.000003015211,0.00005912395,0.00002651165,0.001472447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08865718,"threshold_uncertainty_score":0.369901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02355053675341725,"score_gpt":0.288837975710572,"score_spread":0.2652874389571547,"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."}}