{"id":"W4401976384","doi":"10.21203/rs.3.rs-4720898/v1","title":"Detecting latent gene-environment interaction when analyzing binary traits","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; Actua; Public Health Ontario; University of Waterloo; University of Toronto","funders":"","keywords":"Binary number; Psychology; Computer science; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01207881,0.0008955841,0.001687756,0.002621393,0.0007703967,0.002533043,0.001719381,0.001607314,0.003373953],"category_scores_gemma":[0.07713665,0.0008310194,0.001247556,0.002886669,0.00200004,0.00178094,0.001835297,0.0015742,0.000540199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004154675,"about_ca_system_score_gemma":0.00126606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002046655,"about_ca_topic_score_gemma":0.001840158,"domain_scores_codex":[0.9854515,0.009337918,0.0005414775,0.002742796,0.001323843,0.0006024279],"domain_scores_gemma":[0.8593762,0.1296219,0.003813033,0.005176237,0.0008840099,0.001128629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004175863,0.0008927145,0.6050052,0.0007225976,0.003303441,0.002553712,0.001063893,0.0682219,0.03822305,0.04156183,0.004185751,0.23009],"study_design_scores_gemma":[0.0003080207,0.0005768928,0.1696182,0.00007002142,0.0006841924,0.001449922,0.0005144372,0.6203141,0.01485591,0.1895114,0.002005476,0.00009143626],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3514054,0.0004021792,0.6437213,0.000835877,0.00008052419,0.00006190063,0.001440195,0.0009408976,0.001111647],"genre_scores_gemma":[0.8925051,0.0001945296,0.1034032,0.0001130893,0.0001565962,0.0001241825,0.001390659,0.0001702366,0.001942367],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01207881,"threshold_uncertainty_score":0.06387961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06250288293185031,"score_gpt":0.3766728897999999,"score_spread":0.3141700068681496,"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."}}