{"id":"W4311822755","doi":"10.1007/s00401-022-02531-3","title":"Accumulation of TMEM106B C-terminal fragments in neurodegenerative disease and aging","year":2022,"lang":"en","type":"article","venue":"Acta Neuropathologica","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Vancouver Coastal Health","funders":"National Institutes of Health; Universiteit Antwerpen; Vlaams Instituut voor Biotechnologie; Canadian Institutes of Health Research; Association for Frontotemporal Degeneration","keywords":"Terminal (telecommunication); Disease; Medicine; Neuroscience; Biology; Pathology; Computer science","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":[0.0003573803,0.0004138651,0.0002925771,0.0007135475,0.0003778441,0.00040548,0.000225906,0.0006657229,0.001745548],"category_scores_gemma":[0.0002287829,0.0002276232,0.0003261648,0.0003192255,0.0003095339,0.0003485612,0.0002427246,0.0005639805,0.0007060078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002676075,"about_ca_system_score_gemma":0.0001656574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006061563,"about_ca_topic_score_gemma":0.0004384441,"domain_scores_codex":[0.9998176,0.00003278464,0.0000269429,0.00004734893,0.00003833041,0.0000369803],"domain_scores_gemma":[0.9998134,0.00001850058,0.00006246833,0.0000223734,0.00002825314,0.00005508696],"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":[0.0005929023,0.00003402416,0.0008413355,0.0000518305,0.00002574257,0.000442618,0.00004540071,0.00003685764,0.996167,0.0001350294,0.0001471706,0.001480047],"study_design_scores_gemma":[0.0001331618,0.00110911,0.120245,0.00008323709,0.000158243,0.01612794,0.0002969333,0.001599184,0.8422391,0.0006179839,0.01735688,0.00003321446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855942,0.01063038,0.001290456,0.0002353137,0.0001185118,0.00001379381,0.0005699506,0.0000495532,0.001497946],"genre_scores_gemma":[0.9901293,0.002737665,0.001814802,0.0001075714,0.00003777401,0.00003081126,0.00145767,0.00002808369,0.003656434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001745548,"threshold_uncertainty_score":0.005839467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09156960991774298,"score_gpt":0.3585654555188045,"score_spread":0.2669958456010615,"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."}}