{"id":"W4387420637","doi":"10.1093/brain/awad345","title":"Machine learning nominates the inositol pathway and novel genes in Parkinson’s disease","year":2023,"lang":"en","type":"article","venue":"Brain","topic":"Nuclear Receptors and Signaling","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital du Sacré-Cœur de Montréal; McGill University; Montreal Neurological Institute and Hospital","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; National Institutes of Health; Canada First Research Excellence Fund; McGill University; Fondation pour la Recherche Médicale; GlaxoSmithKline; Parkinson Society Canada; Killam Trusts; Consortium canadien en neurodégénérescence associée au vieillissement; Celgene; Pfizer; National Institute of Neurological Disorders and Stroke; Verily Life Sciences; Bristol-Myers Squibb; Sanofi; Michael J. Fox Foundation for Parkinson's Research","keywords":"LRRK2; Genome-wide association study; Parkinson's disease; Disease; Biology; Locus (genetics); Genetics; Candidate gene; Gene; Transcriptome; Genetic association; Neuroscience; Single-nucleotide polymorphism; Medicine; Mutation; Genotype; Gene expression; Pathology","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":[0.001072872,0.0004527011,0.0004341601,0.0009129133,0.0003144904,0.0007462747,0.0002654342,0.000387633,0.00106146],"category_scores_gemma":[0.001696587,0.0001285068,0.0006253261,0.0005656613,0.0002391372,0.0003227247,0.0002778065,0.000506684,0.0003539005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003386936,"about_ca_system_score_gemma":0.0004600855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001901564,"about_ca_topic_score_gemma":0.003702629,"domain_scores_codex":[0.999687,0.00011861,0.00002391321,0.00008194781,0.00004694786,0.00004162095],"domain_scores_gemma":[0.9994174,0.0003128457,0.00009564267,0.00004963078,0.00007991176,0.00004447856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000948957,0.000284986,0.6550028,0.0002316538,0.0006196758,0.0006231659,0.0001292895,0.08020838,0.03490664,0.002276437,0.002949686,0.2218183],"study_design_scores_gemma":[0.00009798524,0.0002583374,0.2555437,0.0000838412,0.0002361617,0.0006801511,0.0001707087,0.7209315,0.008596875,0.009602281,0.003747537,0.00005089345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.925608,0.003134754,0.06606927,0.001245392,0.00007161505,0.00004427515,0.001070614,0.0003834051,0.002372635],"genre_scores_gemma":[0.9784953,0.0004331307,0.01935148,0.00009563452,0.00003255235,0.00001569265,0.0009159964,0.00001636075,0.0006438795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001901564,"threshold_uncertainty_score":0.005673945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02866717713946219,"score_gpt":0.2457440789983718,"score_spread":0.2170769018589096,"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."}}