{"id":"W2595650687","doi":"10.1016/j.jalz.2017.01.027","title":"Genetic epistasis regulates amyloid deposition in resilient aging","year":2017,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Nerve injury and regeneration","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Institute of Neurological Disorders and Stroke; National Institute on Aging; Illinois Department of Public Health","keywords":"Neuroscience; Neurotrophic factors; Senile plaques; Neuroimaging; Biology; Brain-derived neurotrophic factor; Amyloid (mycology); Alzheimer's disease; Psychology; Genetics; Medicine; Internal medicine; Disease","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":[0.0003250972,0.0004106416,0.0003027828,0.0007629338,0.0002635269,0.0003335499,0.0002574459,0.0002897868,0.003727799],"category_scores_gemma":[0.0006827283,0.0001674641,0.0003258316,0.0003327873,0.0003034079,0.0001062572,0.0004307997,0.0002987911,0.0002354957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002466215,"about_ca_system_score_gemma":0.0002283377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001633479,"about_ca_topic_score_gemma":0.002934387,"domain_scores_codex":[0.9995236,0.0001743822,0.00003021025,0.0001449728,0.00007183824,0.00005485609],"domain_scores_gemma":[0.9994814,0.0001909717,0.0001728048,0.0000444725,0.00003920547,0.00007129209],"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":[0.00141371,0.0001338024,0.06207687,0.00007173794,0.0004167049,0.00173577,0.0002252901,0.0006499841,0.9219809,0.001207647,0.0005597674,0.009527783],"study_design_scores_gemma":[0.0001272425,0.0004657531,0.9395611,0.00002550176,0.0004571887,0.003044185,0.0002176484,0.01019085,0.04135886,0.002205494,0.00228063,0.00006557991],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975861,0.0001328071,0.001302737,0.00006289061,0.000007377301,0.000005474675,0.0002956716,0.00004905626,0.0005578862],"genre_scores_gemma":[0.998732,0.00005352631,0.0006423537,0.00003647654,0.000005594814,0.000005979221,0.0001331538,0.00002629701,0.0003645848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003727799,"threshold_uncertainty_score":0.01247072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0357580172051884,"score_gpt":0.2896928610244924,"score_spread":0.253934843819304,"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."}}