{"id":"W6944306977","doi":"10.17863/cam.108015","title":"Genome-wide meta-analyses of restless legs syndrome yield insights into genetic architecture, disease biology and risk prediction.","year":2024,"lang":"en","type":"article","venue":"Apollo (University of Cambridge)","topic":"Restless Legs Syndrome Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute on Aging; Leibniz-Gemeinschaft; Natural Sciences and Engineering Research Council of Canada; Danmarks Frie Forskningsfond; Canadian Institutes of Health Research; National Institutes of Health; European Regional Development Fund; University of Thessaly; Novo Nordisk Fonden; National Institute of Neurological Disorders and Stroke; Helmholtz Zentrum München; Novo Nordisk; Univerzita Karlova v Praze; Deutsche Forschungsgemeinschaft; Emory University; Heart and Stroke Foundation of Canada; Restless Legs Syndrome Foundation","keywords":"Mendelian randomization; Restless legs syndrome; Disease; Mendelian inheritance; Locus (genetics); Genome-wide association study; Chromosome; Genetic association; Risk factor; Gene","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":[0.0002358617,0.0002213194,0.0008346746,0.0008780509,0.0001300843,0.00001653273,0.0002592745,0.0001360316,0.0001636063],"category_scores_gemma":[0.0002068793,0.0001950107,0.0004368737,0.0006446049,0.0007162663,0.0001298102,0.0002412362,0.0003742339,0.00002465937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007027479,"about_ca_system_score_gemma":0.0002959939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003633641,"about_ca_topic_score_gemma":0.0001003772,"domain_scores_codex":[0.9982564,0.0002127943,0.0002911344,0.0005354798,0.0004301163,0.0002740039],"domain_scores_gemma":[0.9983056,0.0004449569,0.0001318776,0.000583339,0.0001473195,0.00038697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00340518,0.001404475,0.6640971,0.01423455,0.08664834,0.01633591,0.006965005,0.002207783,0.1756146,0.005924112,0.004469842,0.01869318],"study_design_scores_gemma":[0.0007277541,0.0005973866,0.9797393,0.0001818354,0.01003403,0.0001975866,0.0003479543,0.0008855867,0.0006438766,0.0006497736,0.005772122,0.00022278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646006,0.02732246,0.00597588,0.0007840751,0.00006537964,0.0003896618,0.0001660582,0.00006178368,0.0006340721],"genre_scores_gemma":[0.9922912,0.004446233,0.001078498,0.0000163475,0.00002873288,0.000001898719,0.00004662578,0.00002571808,0.002064755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3156423,"threshold_uncertainty_score":0.7952304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05470767714797121,"score_gpt":0.3047725731166252,"score_spread":0.250064895968654,"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."}}