{"id":"W4282596629","doi":"10.1007/s00401-022-02444-1","title":"Frequency of LATE neuropathologic change across the spectrum of Alzheimer’s disease neuropathology: combined data from 13 community-based or population-based autopsy cohorts","year":2022,"lang":"en","type":"article","venue":"Acta Neuropathologica","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":164,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto; Occupational Cancer Research Centre","funders":"National Institute of Neurological Disorders and Stroke; National Institute on Aging; Alzheimer's Society","keywords":"Neuropathology; Autopsy; Alzheimer's disease; Medicine; Population; Disease; Pathology; Neuroscience; Psychology; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001460332,0.0005300193,0.0009003767,0.002332921,0.0005004465,0.001064011,0.0005946211,0.0005833087,0.0009833777],"category_scores_gemma":[0.002752971,0.0003934349,0.0008584028,0.001811712,0.0003182519,0.000718451,0.001021785,0.0004703489,0.000219063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002952683,"about_ca_system_score_gemma":0.0002652935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006578183,"about_ca_topic_score_gemma":0.008193887,"domain_scores_codex":[0.9991215,0.0002039317,0.0001164938,0.0003231293,0.000134357,0.0001006437],"domain_scores_gemma":[0.9982686,0.0003008106,0.0005990302,0.0003188822,0.0003295984,0.0001829497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004007049,0.00002564782,0.9970809,0.000009618665,0.0002957508,0.000077777,0.00007442343,0.00003597767,0.0003462647,0.00001300634,0.00009556532,0.001544401],"study_design_scores_gemma":[0.000006878649,0.00003727517,0.9992999,0.000003047112,0.00007528104,0.0002778987,0.00008230393,0.00007004476,0.00005420977,0.00002268378,0.00006681748,0.000003598218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981983,0.0003098004,0.0001789443,0.00001097287,0.000004762405,0.000005804594,0.000959142,0.00001025908,0.0003219873],"genre_scores_gemma":[0.997908,0.0001415014,0.0001105404,0.00001101306,0.000008004718,0.000008942812,0.0016593,0.000005923207,0.000146792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006578183,"threshold_uncertainty_score":0.01307976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1288520733721477,"score_gpt":0.3586152362672015,"score_spread":0.2297631628950538,"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."}}