{"id":"W1980091283","doi":"10.1097/ede.0b013e31815c4d0e","title":"Estimating Interaction Between Genetic and Environmental Risk Factors","year":2008,"lang":"en","type":"article","venue":"Epidemiology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"National Heart, Lung, and Blood Institute","keywords":"Cohort; Nested case-control study; Framingham Heart Study; Statistics; Cohort study; Environmental health; Demography; Medicine; Econometrics; Framingham Risk Score; Disease; Internal medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000382529,0.0001323579,0.0003486591,0.00004736321,0.0001213776,0.000001385121,0.00006917767,0.0001146928,0.00005855177],"category_scores_gemma":[0.003888214,0.0001133603,0.00003790378,0.00002412102,0.0001845654,0.00008497406,0.00006885856,0.0002565329,0.00001126227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005539082,"about_ca_system_score_gemma":0.000004542247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000063679,"about_ca_topic_score_gemma":0.000002480015,"domain_scores_codex":[0.9988073,0.0003370456,0.0003808237,0.0002218876,0.00004036737,0.0002126095],"domain_scores_gemma":[0.994209,0.005267831,0.0002757029,0.0001778947,0.000004545452,0.00006502117],"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":[0.000002390209,0.00001299506,0.9931931,0.000007217624,0.00001927503,0.000003064496,0.0003137032,0.00006898693,0.0002101195,0.0007308971,0.0003895186,0.005048677],"study_design_scores_gemma":[0.0001172315,0.000164636,0.4668472,0.00001844096,0.00003766755,0.00007765936,0.0001257682,0.005149812,0.001071755,0.5259026,0.0002718792,0.0002153573],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7307888,0.00004562516,0.268784,0.00003629306,0.00004816047,0.0000868776,0.00001054436,0.0001132944,0.00008634743],"genre_scores_gemma":[0.7103625,0.00007655645,0.289393,0.00003438232,0.00007883094,0.00000903427,0.00001062895,0.00001206903,0.00002302237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5263459,"threshold_uncertainty_score":0.4654836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.260439857565273,"score_gpt":0.4336198720691994,"score_spread":0.1731800145039263,"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."}}