{"id":"W2066293229","doi":"10.1038/ng.3162","title":"Gene-gene and gene-environment interactions detected by transcriptome sequence analysis in twins","year":2014,"lang":"en","type":"article","venue":"Nature Genetics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":244,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Institute of Mental Health; Swiss Institute of Bioinformatics; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Louis-Jeantet Foundation; Canadian Institutes of Health Research; National Institute for Health and Care Research; Wellcome Trust; King's College London; National Institutes of Health; National Science Foundation","keywords":"Biology; Genetics; Gene; Allele; Gene expression; Genetic architecture; Transcriptome; Regulation of gene expression; Pair-rule gene; Computational biology; Regulator gene; Quantitative trait locus","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":[0.000168396,0.0002163592,0.0002142116,0.0001142369,0.00007246048,0.00003662379,0.0002058872,0.0004172648,0.00001652921],"category_scores_gemma":[0.00001305505,0.000216347,0.0001055512,0.000219029,0.00007732873,0.000004472738,0.00008171695,0.0003545126,0.000004566169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003110292,"about_ca_system_score_gemma":0.00002154969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001031186,"about_ca_topic_score_gemma":0.0001294773,"domain_scores_codex":[0.9988115,0.00005368895,0.0003143938,0.000382456,0.0001387237,0.0002992058],"domain_scores_gemma":[0.9993103,0.00001183535,0.0000917447,0.0004281295,0.00003209629,0.0001259424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003052218,0.00004867154,0.007578738,0.0000105007,0.0002511688,0.00000150659,0.0001157204,0.003242223,0.979379,0.000006425407,0.0005381019,0.0087974],"study_design_scores_gemma":[0.001562507,0.000407363,0.0415326,0.00001240885,0.0005707586,0.0000558549,0.00007407126,0.03944279,0.7987227,0.0002952837,0.116323,0.001000656],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716912,0.004506728,0.02304985,0.0001284363,0.0001566956,0.0001660202,0.0001254306,0.000009810303,0.0001658659],"genre_scores_gemma":[0.988005,0.001851964,0.008693633,0.0005834741,0.0001477458,0.00001496449,0.0004978013,0.00002194152,0.0001834431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1806563,"threshold_uncertainty_score":0.8822375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005154320662816287,"score_gpt":0.225681964176089,"score_spread":0.2205276435132727,"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."}}