{"id":"W4411377719","doi":"10.1002/gepi.70013","title":"A Robust Association Test Leveraging Unknown Genetic Interactions: Application to Cystic Fibrosis Lung Disease","year":2025,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; Public Health Ontario; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Institute of Circulatory and Respiratory Health; University of Toronto; Government of Ontario; Canada Research Chairs; Government of Canada; Canadian Institutes of Health Research; Genome Canada","keywords":"Genome-wide association study; Quantitative trait locus; Biology; Genetic association; Genetics; Normality; Trait; Cystic fibrosis; Genetic architecture; Computational biology; Genotype; Evolutionary biology; Gene; Statistics; Single-nucleotide polymorphism; Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0008669918,0.0002343289,0.0005741091,0.0003762731,0.0001732059,0.0000197409,0.0002059772,0.0001260576,0.0001493859],"category_scores_gemma":[0.02714538,0.000228677,0.0001384482,0.0006683051,0.00007127615,0.00005148157,0.0001615112,0.0003460301,0.0002808089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009174623,"about_ca_system_score_gemma":0.0002894611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001301256,"about_ca_topic_score_gemma":0.00005850021,"domain_scores_codex":[0.9971057,0.0004202972,0.0008082925,0.0007303746,0.0002460364,0.0006893167],"domain_scores_gemma":[0.9921169,0.006276602,0.0002146721,0.0006554666,0.0003218889,0.0004145178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003342392,0.0002172718,0.8532957,0.0004490134,0.0001492755,0.00001510679,0.00007102611,0.03157034,0.01740518,0.0002847981,0.02856386,0.06764412],"study_design_scores_gemma":[0.0005775804,0.0001250514,0.8451563,0.0002956582,0.0002098917,0.00001480593,0.00002892717,0.1070065,0.0001608479,0.001942788,0.04430566,0.0001760468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1120466,0.005889232,0.8557058,0.02278257,0.0005175748,0.001940107,0.00004754271,0.000188975,0.0008815834],"genre_scores_gemma":[0.8039929,0.0003522579,0.1833683,0.004974035,0.000457184,0.001208744,0.0001065299,0.00004280834,0.00549718],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6919463,"threshold_uncertainty_score":0.9810494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0278452903490037,"score_gpt":0.354857906960524,"score_spread":0.3270126166115203,"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."}}