{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002643041,0.0003482908,0.0002889737,0.000711487,0.0002199062,0.000249004,0.0002204003,0.0004028993,0.001548482],"category_scores_gemma":[0.0007493815,0.0001383791,0.0003942675,0.0005314342,0.000266931,0.0001171564,0.0002760639,0.0002149064,0.0002471426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001243352,"about_ca_system_score_gemma":0.0001052909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008842549,"about_ca_topic_score_gemma":0.0007106355,"domain_scores_codex":[0.999775,0.00004868435,0.00002671944,0.00008073939,0.00003678092,0.00003203488],"domain_scores_gemma":[0.9996563,0.0001292125,0.0001128979,0.00002581417,0.00002417364,0.00005156478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00172756,0.0001008917,0.8090284,0.00008563944,0.0004455354,0.00553729,0.0003788743,0.0003601639,0.1694701,0.0001999531,0.000210262,0.01245532],"study_design_scores_gemma":[0.00003673727,0.0003150364,0.9801272,0.00001194604,0.0001829757,0.007685599,0.0001524754,0.0007665061,0.009779152,0.000133658,0.0007990498,0.000009616972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993222,0.00008492159,0.0002784806,0.00001379912,0.000001627556,0.000004405882,0.0001269488,0.000005068431,0.000162573],"genre_scores_gemma":[0.9990415,0.00005358443,0.0003031873,0.00003308392,0.00000366857,0.000009556745,0.0003292775,0.000005734683,0.0002203033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001548482,"threshold_uncertainty_score":0.00518012,"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."}}