{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001941339,0.0002363194,0.000222938,0.0003157808,0.0003155608,0.0003273714,0.0001574391,0.0003735431,0.001148883],"category_scores_gemma":[0.0001445078,0.0001329103,0.0003075269,0.0001781955,0.0002300636,0.0002492242,0.000305099,0.0005225843,0.000456705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002699253,"about_ca_system_score_gemma":0.0001006107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008046021,"about_ca_topic_score_gemma":0.001102399,"domain_scores_codex":[0.9998324,0.00002395203,0.0000249922,0.00004811671,0.00003010369,0.00004037769],"domain_scores_gemma":[0.9999102,0.000007451546,0.0000279592,0.00001423807,0.00001534816,0.00002469538],"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":[0.0001632171,0.00001020105,0.0007112144,0.00003056124,0.00002647152,0.0003606308,0.00003726736,0.0000506854,0.9971573,0.0001322251,0.0002477276,0.001072423],"study_design_scores_gemma":[0.00005504721,0.0003742971,0.09837946,0.00005751259,0.0001585531,0.01128395,0.0004259857,0.001924953,0.8724662,0.000633701,0.01421417,0.00002621578],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935562,0.002364095,0.001334477,0.0001920375,0.00007364192,0.00001329257,0.0005586623,0.00003252732,0.001875072],"genre_scores_gemma":[0.9952694,0.0008638246,0.0009995406,0.0002527266,0.00001390692,0.00001467888,0.000766628,0.00002966004,0.001789675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001148883,"threshold_uncertainty_score":0.003843367,"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."}}