{"id":"W3141368659","doi":"10.3174/ajnr.a7097","title":"Imaging Patterns Characterizing Mitochondrial Leukodystrophies","year":2021,"lang":"en","type":"article","venue":"American Journal of Neuroradiology","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health; Association Européenne contre les Leucodystrophies; ZonMw; Ionis Pharmaceuticals; Biogen; Eli Lilly and Company","keywords":"Hyperintensity; Leukodystrophy; Corpus callosum; Pathology; Medicine; White matter; Globus pallidus; Magnetic resonance imaging; Neuroscience; Biology; Basal ganglia; Disease; Radiology; Central nervous system; Internal medicine","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":[0.00009407752,0.0001525901,0.0003729743,0.00009548398,0.00005657757,0.00002054479,0.0001934152,0.00005389797,0.00007920625],"category_scores_gemma":[0.000247304,0.0001432721,0.0001984688,0.0001244743,0.0002012159,0.000007636289,0.00007419896,0.0002339399,0.000008168447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001068635,"about_ca_system_score_gemma":0.0001459295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004090641,"about_ca_topic_score_gemma":0.000005354945,"domain_scores_codex":[0.9985517,0.000408068,0.0004136593,0.0002685559,0.00009811005,0.0002599515],"domain_scores_gemma":[0.9989216,0.00004195419,0.0004340394,0.000257567,0.0002226304,0.000122151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002363576,0.00003152496,0.01938149,0.000003760796,0.00004782135,0.0004121671,0.00003803098,0.00001338486,0.9728463,0.00003144361,0.001798999,0.00515873],"study_design_scores_gemma":[0.002776125,0.00478437,0.04632939,0.00004217948,0.0001170689,0.0509553,0.0009976992,0.00002476158,0.3601618,0.00008533286,0.533071,0.0006549076],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869491,0.0002362103,0.008018297,0.001500849,0.003062442,0.00003560613,0.00001330789,0.000006462762,0.0001777411],"genre_scores_gemma":[0.9898217,0.0004477678,0.002564272,0.003857394,0.00293492,0.000002603996,0.00003371696,0.00003003638,0.0003076433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6126845,"threshold_uncertainty_score":0.5842466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00877877283072854,"score_gpt":0.2390675691444271,"score_spread":0.2302887963136986,"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."}}