{"id":"W3013175781","doi":"10.1212/nxg.0000000000000416","title":"Polygenic risk scores of several subtypes of epilepsies in a founder population","year":2020,"lang":"en","type":"article","venue":"Neurology Genetics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal; Université du Québec à Chicoutimi","funders":"Compute Canada","keywords":"Epilepsy; Population; Medicine; Disease; Logistic regression; Internal medicine; Psychiatry","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":[0.001681725,0.0004426162,0.0002464409,0.001267037,0.0004102421,0.000473506,0.0003341323,0.0003402185,0.002388029],"category_scores_gemma":[0.004047089,0.0001370787,0.000907746,0.0009895128,0.0004367628,0.0002083055,0.0003547974,0.0003337554,0.0001564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004921139,"about_ca_system_score_gemma":0.0006269424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08673681,"about_ca_topic_score_gemma":0.05215151,"domain_scores_codex":[0.9993172,0.0002497534,0.00004787245,0.0002119435,0.00009550931,0.00007777041],"domain_scores_gemma":[0.9982808,0.000642575,0.0004053615,0.0003338282,0.0001814191,0.0001561367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002311054,0.00001486601,0.9907016,0.000008310504,0.0004592781,0.0002403286,0.0001623306,0.000697347,0.001389935,0.0003974728,0.0002431397,0.005454202],"study_design_scores_gemma":[0.000008860532,0.00005379058,0.9970934,0.000002953278,0.0001408626,0.0003067622,0.00007791593,0.001713186,0.0001279873,0.0002609582,0.000205411,0.000007815172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975446,0.0001265099,0.001169975,0.0001094588,0.000005127399,0.0000116368,0.0004972533,0.00002169274,0.0005136814],"genre_scores_gemma":[0.9984686,0.0000550715,0.0007911792,0.00001944545,0.000008177485,0.000005882343,0.000430067,0.000006739061,0.0002148251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08673681,"threshold_uncertainty_score":0.1724639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009331983291852345,"score_gpt":0.2240501553120731,"score_spread":0.2147181720202207,"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."}}