{"id":"W1765655507","doi":"10.1016/j.neurobiolaging.2015.09.014","title":"Variants in GBA , SNCA , and MAPT influence Parkinson disease risk, age at onset, and progression","year":2015,"lang":"en","type":"article","venue":"Neurobiology of Aging","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; GE Healthcare; Genentech; H. Lundbeck A/S; Weston Brain Institute; Avid Radiopharmaceuticals; Foundation for Barnes-Jewish Hospital; AbbVie; Biogen Idec; Michael J. Fox Foundation for Parkinson's Research; American Parkinson Disease Association; Merck; GlaxoSmithKline; Eli Lilly and Company; BrightFocus Foundation; Bristol-Myers Squibb Foundation; Pfizer; Roche; National Institute on Aging; Genentech Foundation; Alzheimer's Association","keywords":"Genome-wide association study; Genetic association; Single-nucleotide polymorphism; Genetics; Age of onset; Biology; Disease; Parkinson's disease; LRRK2; Candidate gene; Genetic architecture; Phenotype; Gene; Medicine; Genotype; Internal medicine; Mutation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001540436,0.0001372172,0.0002501234,0.0001083426,0.00005152703,0.0000060106,0.00004003492,0.00005777999,0.000005241972],"category_scores_gemma":[0.00010928,0.0001097289,0.00002275527,0.00007396689,0.0001369622,0.00005738123,0.0001169083,0.0001147585,0.000003783855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002930477,"about_ca_system_score_gemma":0.00004724514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007042554,"about_ca_topic_score_gemma":0.0000215373,"domain_scores_codex":[0.9990703,0.0001301219,0.00016471,0.0003518776,0.00007794971,0.0002050367],"domain_scores_gemma":[0.9993618,0.00005476327,0.0001007212,0.0001760411,0.00002499328,0.0002817117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004515524,0.0001354153,0.9951657,0.00005370416,0.00001940546,0.000597164,0.0001707422,0.000004200751,0.001202706,0.00001044134,0.00003975644,0.002149232],"study_design_scores_gemma":[0.002431082,0.0002949084,0.9946463,0.0001782709,0.00008734316,0.00005696151,0.00001910433,0.0001041117,0.0009526882,0.0003055191,0.0008417719,0.00008194524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980242,0.001295511,0.00000300853,0.0002148918,0.00006177644,0.0002648183,0.0000302719,0.00002404689,0.0000814758],"genre_scores_gemma":[0.9989968,0.0003267608,0.0003611814,0.0002069496,0.00001318723,0.00001614317,0.00002156196,0.0000117599,0.00004567598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002067287,"threshold_uncertainty_score":0.4474617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887736317990151,"score_gpt":0.2819302576051547,"score_spread":0.2630528944252532,"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."}}