{"id":"W4214871091","doi":"10.1016/j.cell.2022.02.026","title":"Homotypic fibrillization of TMEM106B across diverse neurodegenerative diseases","year":2022,"lang":"en","type":"article","venue":"Cell","topic":"Neurological diseases and metabolism","field":"Neuroscience","cited_by":162,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia; Providence Health Care","funders":"National Institute of Neurological Disorders and Stroke; National Institute on Aging; Canadian Institutes of Health Research","keywords":"Neurodegeneration; Dementia with Lewy bodies; Endosome; Biology; Fibril; Frontotemporal lobar degeneration; Progressive supranuclear palsy; Frontotemporal dementia; Lewy body; Protein aggregation; Amyloid (mycology); Protein folding; Cell biology; Biochemistry; Disease; Dementia; Pathology; Receptor; Medicine; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002993297,0.0000903315,0.0001251913,0.00002608054,0.0003000056,0.00001638843,0.0002122999,0.00001305856,0.000529031],"category_scores_gemma":[0.0001267388,0.00008141321,0.0000913331,0.000268238,0.00009520887,0.00007707375,0.0003190329,0.00007920871,0.00001724287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008087005,"about_ca_system_score_gemma":0.00002111558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000382064,"about_ca_topic_score_gemma":2.672529e-7,"domain_scores_codex":[0.9989155,0.0002072607,0.0001293925,0.0003123521,0.0002413116,0.0001942128],"domain_scores_gemma":[0.9995117,0.0000875155,0.0000884459,0.0002005626,0.00001868609,0.00009314274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001654538,0.0005661984,0.00194892,0.00003278417,0.000001844254,0.00007429114,0.0003930773,0.007359444,0.9833505,0.002398669,0.001892199,0.001816676],"study_design_scores_gemma":[0.001148746,0.0005363586,0.04513584,0.000002252228,0.00005754002,0.000007408034,0.0002756613,0.001679422,0.873252,0.001593721,0.07598861,0.0003224894],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973124,0.0002297318,0.00006641988,0.00005745717,0.0004333981,0.0001611466,0.0006514139,0.00004679317,0.001041256],"genre_scores_gemma":[0.9978048,0.00008587426,0.000008186718,0.00105747,0.0000506548,0.00002095622,0.00001341847,0.00001076616,0.0009478354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1100985,"threshold_uncertainty_score":0.5792519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03050665152506941,"score_gpt":0.2675826111889589,"score_spread":0.2370759596638894,"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."}}