{"id":"W2060585868","doi":"10.1111/epi.12712","title":"Analysis of <i>ELP4</i>,<i> SRPX2</i>, and interacting genes in typical and atypical rolandic epilepsy","year":2014,"lang":"en","type":"article","venue":"Epilepsia","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Heart, Lung, and Blood Institute; Karl-Franzens-Universität Graz; Medizinische Universität Innsbruck; Medizinische Universität Graz; Universität zu Köln; Universität Wien; European Science Foundation; Universität Innsbruck; Biotechnology and Biological Sciences Research Council; Austrian Science Fund; Deutsche Forschungsgemeinschaft; Medizinische Universität Wien; European Social Fund; McMaster University","keywords":"Epilepsy; Single-nucleotide polymorphism; Rolandic epilepsy; Copy-number variation; Genotyping; Genetics; Biology; SNP; Gene; Etiology; Medicine; Genotype; Neuroscience; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001519715,0.0001134882,0.0002191857,0.0001134157,0.00002981446,0.00001293994,0.00007378126,0.00008427626,0.00001405721],"category_scores_gemma":[0.00008324398,0.0001084731,0.00005015152,0.0001661626,0.0000765802,0.000002839211,0.0001246556,0.00007231442,0.000001241502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003036298,"about_ca_system_score_gemma":0.00001070756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000919246,"about_ca_topic_score_gemma":0.0001059827,"domain_scores_codex":[0.9991792,0.00006555623,0.0002268589,0.0003015746,0.00007019192,0.0001566175],"domain_scores_gemma":[0.9996683,0.00003819767,0.00006150152,0.000147315,0.00001856548,0.0000661013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003101526,0.00004850803,0.8063163,0.00001645262,0.0001071935,0.000001117176,0.00008221337,0.00005702798,0.1836033,0.0001167796,0.00008706573,0.009253936],"study_design_scores_gemma":[0.0004061722,0.000137996,0.9879854,0.000009578289,0.00006720009,0.00000456455,0.00005098123,0.00145559,0.006638116,0.00005067483,0.003067115,0.0001266288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985688,0.0006504316,0.0003286861,0.00009586698,0.00004828764,0.00006402621,0.000005258824,0.000003342011,0.0002353386],"genre_scores_gemma":[0.9985521,0.0005953842,0.0005617797,0.0001907752,0.00001497447,0.000005390304,0.00003973249,0.00001035628,0.0000295011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1816691,"threshold_uncertainty_score":0.4423406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005823042878725382,"score_gpt":0.2314966521607375,"score_spread":0.2256736092820121,"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."}}