{"id":"W4406423489","doi":"10.1007/s00401-025-02847-w","title":"White matter pathology in FTLD caused by GRN mutations","year":2025,"lang":"en","type":"letter","venue":"Acta Neuropathologica","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Vancouver Coastal Health","funders":"National Institutes of Health; Alzheimer's Association","keywords":"Pathology; White matter; Medicine; Frontotemporal lobar degeneration; Biology; Disease; Magnetic resonance imaging; Dementia; Radiology; Frontotemporal dementia","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001097721,0.0003833094,0.0003381067,0.0001762893,0.0000769216,0.00005030055,0.0004147638,0.0009306351,0.0003227592],"category_scores_gemma":[0.0001566226,0.0003603854,0.0001672644,0.0001813476,0.000158555,0.000004904792,0.0002153047,0.0007157013,0.0001122934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001817085,"about_ca_system_score_gemma":0.00008821671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002677649,"about_ca_topic_score_gemma":0.000003790512,"domain_scores_codex":[0.9976058,0.0005073092,0.0003972612,0.000893223,0.0001537621,0.0004426421],"domain_scores_gemma":[0.998894,0.0000409632,0.0001761631,0.0007574124,0.00006676278,0.00006467097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002198711,0.00005844436,0.02328748,0.00003463239,0.000008270588,0.001426318,0.00001320122,0.000007650745,0.02699561,0.000001375257,0.9480727,0.00007228112],"study_design_scores_gemma":[0.0005776605,0.0001269696,0.1274014,0.00001850604,0.00004460862,0.00008747744,0.000007969342,0.000007894074,0.0005859651,0.00006899721,0.8706261,0.0004464456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.3091497,0.0004568461,0.0001734725,0.6722995,0.0007975556,0.000772903,0.0008669244,0.00008946007,0.01539364],"genre_scores_gemma":[0.2415031,0.0001135899,0.00007144981,0.7242361,0.0004616076,0.0001238124,0.004936591,0.00005289197,0.02850079],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1041139,"threshold_uncertainty_score":0.9998848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008897898163763438,"score_gpt":0.2358811302440016,"score_spread":0.2269832320802382,"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."}}