{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004173904,0.00009218959,0.00015714,0.00003812506,0.00001574832,0.000002375271,0.0001266954,0.0001194719,0.000008267728],"category_scores_gemma":[0.0000760137,0.00009339309,0.00007099761,0.00007256302,0.00007863946,0.000001174864,0.00008461848,0.00006715908,0.000001259812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001480371,"about_ca_system_score_gemma":0.0000408213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005921132,"about_ca_topic_score_gemma":0.0001279246,"domain_scores_codex":[0.9992723,0.00008099797,0.000242082,0.0002125885,0.0000620871,0.0001298801],"domain_scores_gemma":[0.9995973,0.00001479973,0.0001340297,0.0001669838,0.00004111127,0.00004583715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003004733,0.00005069845,0.9146451,0.00002840846,0.00002950831,0.000003339467,0.00007911286,0.005598593,0.07864338,0.00003427603,0.0000916291,0.0004955182],"study_design_scores_gemma":[0.0005016467,0.0007250865,0.982922,0.00000183847,0.00002755585,0.000004415157,0.00001370539,0.001293783,0.0138397,0.0002801322,0.000299341,0.00009083586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982941,0.001159091,0.0001133314,0.0001698235,0.0000757353,0.00009836619,0.00004896706,0.000003168507,0.00003740478],"genre_scores_gemma":[0.9985951,0.0005384942,0.0002850752,0.0004357887,0.00006875095,0.000002831189,0.00005518134,0.00001379047,0.000004989639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0682769,"threshold_uncertainty_score":0.380846,"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."}}