{"id":"W4390501566","doi":"10.1186/s40478-023-01706-7","title":"Letter to the editor on: Hornerin deposits in neuronal intranuclear inclusion disease: direct identification of proteins with compositionally biased regions in inclusions by Park et al. (2022)","year":2024,"lang":"en","type":"letter","venue":"Acta Neuropathologica Communications","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"UCLH Biomedical Research Centre; Medical Research Council; University College London Hospitals NHS Foundation Trust; Wolfson Foundation; National Institute for Health and Care Research; Motor Neurone Disease Australia","keywords":"Identification (biology); Inclusion (mineral); Disease; Neuroscience; Biology; Medicine; Chemistry; Pathology; Botany; Mineralogy","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005801767,0.0005742966,0.0004820373,0.0006083799,0.0008946396,0.0001787306,0.003510322,0.0001910703,0.00001588991],"category_scores_gemma":[0.00147166,0.0004324141,0.0001618176,0.001639919,0.0006424866,0.0001557429,0.004109677,0.002913166,0.00005190192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001200182,"about_ca_system_score_gemma":0.0002220463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002330419,"about_ca_topic_score_gemma":0.0001342455,"domain_scores_codex":[0.9906913,0.005331383,0.0009519265,0.001430161,0.001104019,0.0004911868],"domain_scores_gemma":[0.9934236,0.002299005,0.0004279599,0.00356354,0.0001370064,0.0001489134],"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":[0.0001102194,0.0006419201,0.00005652709,0.00003103125,0.000004585251,0.000241702,0.0002607343,0.0006154114,0.3311156,0.0001009395,0.6667584,0.00006289929],"study_design_scores_gemma":[0.0004079859,0.0004992427,0.01712152,0.0004834891,0.0000769479,0.00002856493,0.00001030545,0.0006852839,0.01984122,0.0001692953,0.9600421,0.0006340462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1181673,0.0001873269,0.00004735321,0.8764934,0.0004881323,0.002455074,0.001777773,0.000127685,0.0002559597],"genre_scores_gemma":[0.5377291,0.0004971127,0.0001061503,0.4596903,0.0002717809,0.001046618,0.0004685722,0.00008592463,0.0001043449],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4195619,"threshold_uncertainty_score":0.9998128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02769278235123168,"score_gpt":0.2760518366446029,"score_spread":0.2483590542933712,"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."}}