{"id":"W2134052153","doi":"10.1111/gbb.12158","title":"Genome‐wide screening for <scp>DNA</scp> variants associated with reading and language traits","year":2014,"lang":"en","type":"article","venue":"Genes Brain & Behavior","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institutes of Health; Max Planck Instituut voor Psycholinguïstiek; University of Bristol; Max-Planck-Gesellschaft; Queen Margaret University; University of Aberdeen; University of Oxford; St. John's College, University of Oxford; Medical Research Council; University of St Andrews; Hospital for Sick Children; Wellcome Trust","keywords":"Genome-wide association study; Genetic association; Single-nucleotide polymorphism; Genetics; Biology; SNP; Allele; Open reading frame; Population; Quantitative trait locus; Locus (genetics); Gene; Genotype; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001301177,0.0005652242,0.0006480724,0.001726374,0.0006406448,0.0006663901,0.0006631435,0.0008390317,0.003676535],"category_scores_gemma":[0.003053099,0.0002481324,0.001362113,0.004026544,0.0003762564,0.0001975416,0.0004562576,0.000672298,0.0002972579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003426644,"about_ca_system_score_gemma":0.0007127139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01258847,"about_ca_topic_score_gemma":0.01394947,"domain_scores_codex":[0.9989687,0.0002070015,0.0001052785,0.000449699,0.0001710345,0.00009828527],"domain_scores_gemma":[0.9981172,0.0008204092,0.0005103344,0.0002125172,0.0001501041,0.0001894597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001353622,0.00008733619,0.951061,0.000201558,0.00367821,0.001927615,0.0001722474,0.000639167,0.02671067,0.0003851749,0.001514884,0.01226857],"study_design_scores_gemma":[0.0001460308,0.0002128483,0.9906357,0.00002852883,0.001312446,0.00133298,0.00007839045,0.0008172439,0.003164137,0.0002799525,0.001975195,0.00001648321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891556,0.001154246,0.001854863,0.0003273801,0.00002912005,0.00005985991,0.006382905,0.00008209087,0.0009540024],"genre_scores_gemma":[0.9930462,0.0004003491,0.001809254,0.0001615894,0.0000392067,0.00005053539,0.004064395,0.00002185981,0.0004066403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01258847,"threshold_uncertainty_score":0.02503037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198951537785253,"score_gpt":0.2366634881977806,"score_spread":0.2246739728199281,"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."}}