{"id":"W4390037343","doi":"10.1101/2023.12.19.23300211","title":"Genomic analysis identifies risk factors in restless legs syndrome","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Restless Legs Syndrome Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; National Institute on Aging; National Institutes of Health; Government of Canada","keywords":"Locus (genetics); Genetics; Genome-wide association study; Restless legs syndrome; Gene; Genome; Population; Genetic association; Biology; Genetic architecture; Medicine; Single-nucleotide polymorphism; Genotype; Quantitative trait locus; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004940858,0.0004541799,0.0003853758,0.0012662,0.00035464,0.0006719377,0.000401319,0.0005542747,0.002410002],"category_scores_gemma":[0.001757538,0.0001825615,0.001063817,0.001795657,0.0002593021,0.0001910688,0.0003632473,0.0004629744,0.0002130429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001875512,"about_ca_system_score_gemma":0.0002248683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004372806,"about_ca_topic_score_gemma":0.003233932,"domain_scores_codex":[0.999492,0.0001525683,0.00004554717,0.0001956608,0.00006721388,0.00004695728],"domain_scores_gemma":[0.9992311,0.0002962016,0.0002586928,0.00005578982,0.00006879721,0.00008934909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006241177,0.00004494779,0.9789781,0.0001074645,0.001686671,0.001245293,0.00009762471,0.0003097986,0.007278199,0.0002280481,0.0007384578,0.008661158],"study_design_scores_gemma":[0.00003517999,0.00009444205,0.9955189,0.0000300533,0.0007910666,0.0008808674,0.00008024279,0.0008724077,0.000674273,0.0003463906,0.0006676042,0.000008545707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925922,0.003264331,0.001403664,0.0003994451,0.00005682369,0.00001412915,0.001309804,0.00005972345,0.0009000298],"genre_scores_gemma":[0.9985045,0.000357339,0.0003686394,0.00007430337,0.00002929431,0.000005693135,0.0004585819,0.00000703667,0.0001945862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004372806,"threshold_uncertainty_score":0.008694708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08410184549001128,"score_gpt":0.3604690241768811,"score_spread":0.2763671786868699,"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."}}