{"id":"W2736939530","doi":"10.1186/s13040-017-0145-5","title":"Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals","year":2017,"lang":"en","type":"article","venue":"BioData Mining","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"U.S. National Library of Medicine; National Center for Advancing Translational Sciences; National Human Genome Research Institute; National Heart, Lung, and Blood Institute; National Eye Institute; National Institute on Aging; Medical Research Council; British Heart Foundation; European Hematology Association; National Institute of General Medical Sciences; National Institute for Health and Care Research; Broad Institute; Harvard University; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Replication (statistics); SNP; Single-nucleotide polymorphism; Computational biology; Biology; Pairwise comparison; Genetics; Bioinformatics; Gene; Computer science; Artificial intelligence; Genotype","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004305095,0.00007577794,0.0001487103,0.00004339496,0.000113237,0.00003285304,0.0001578385,0.00008599434,0.000003510452],"category_scores_gemma":[0.001528838,0.00007428561,0.00003435898,0.00002270463,0.00007718681,0.00002115623,0.0001186733,0.00003602601,4.793459e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007536504,"about_ca_system_score_gemma":0.00002946717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008279683,"about_ca_topic_score_gemma":0.0002666748,"domain_scores_codex":[0.9992515,0.00004160552,0.0002364452,0.0003086317,0.00003463763,0.0001271493],"domain_scores_gemma":[0.9991397,0.00009363434,0.0002969953,0.000408537,0.00003888293,0.00002219647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008410083,0.00009573015,0.6449084,0.00003659819,0.0001174139,3.07295e-7,0.0006145274,0.00001602158,0.3298247,0.0008022752,0.006484946,0.01701503],"study_design_scores_gemma":[0.0004681236,0.0001525955,0.9811971,0.00002914357,0.00001914066,0.000001704723,0.0003960382,0.0002244114,0.006818116,0.0001115663,0.01048044,0.0001016478],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961272,0.0001708653,0.002286015,0.0003953803,0.00008598913,0.0001582234,0.0005322578,0.000002032125,0.0002420235],"genre_scores_gemma":[0.9882939,0.0001178954,0.01080349,0.00006614529,0.00007230226,0.00004235776,0.0003713094,0.000007515524,0.0002251199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3362887,"threshold_uncertainty_score":0.3029279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09098401409320957,"score_gpt":0.3887127870929476,"score_spread":0.297728772999738,"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."}}