{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01116799,0.0006331049,0.00122048,0.001444406,0.0003044803,0.0007954093,0.001006055,0.0008137748,0.001652953],"category_scores_gemma":[0.05477229,0.0006259674,0.001061736,0.001116893,0.0007730548,0.0009035906,0.001128552,0.001110673,0.0001689679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005402556,"about_ca_system_score_gemma":0.001100163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004868674,"about_ca_topic_score_gemma":0.003651381,"domain_scores_codex":[0.9946536,0.003660654,0.0001580043,0.0007689894,0.0005986657,0.0001599899],"domain_scores_gemma":[0.9453788,0.05147638,0.001040097,0.001401493,0.0005225965,0.0001806857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007768027,0.0002837406,0.1304734,0.0002815723,0.001729727,0.0006003364,0.000329169,0.6234632,0.004081639,0.07096617,0.0008004665,0.1662137],"study_design_scores_gemma":[0.00008176399,0.000160799,0.01926101,0.00002395616,0.0002362292,0.0001546063,0.00003924988,0.9130782,0.00110343,0.06503527,0.0007951391,0.00003036462],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2140196,0.0003924271,0.7839724,0.0002025296,0.00002398389,0.00005753951,0.0002164518,0.0002054966,0.0009095222],"genre_scores_gemma":[0.715788,0.0003609917,0.2817474,0.00008397348,0.00005473647,0.0001485392,0.0005641771,0.00004612271,0.001206134],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01116799,"threshold_uncertainty_score":0.05906266,"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."}}