{"id":"W2412177729","doi":"10.1002/gepi.2001.21.s1.s423","title":"Modeling Complex Disease with Demographic and Environmental Covariates and a Candidate Gene Marker","year":2001,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"Mitacs","keywords":"Covariate; Logistic regression; Biology; Genetics; Proportional hazards model; Allele; Population; Regression analysis; Disease; Linkage disequilibrium; Genetic model; Genetic association; Regression; Demography; Statistics; Genotype; Single-nucleotide polymorphism; Gene; Medicine; Internal medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01140803,0.0006677958,0.00136528,0.0008057691,0.0005890724,0.001015555,0.001588618,0.001301663,0.002451935],"category_scores_gemma":[0.0212809,0.0006075392,0.001298898,0.001034289,0.0009084945,0.0008051555,0.0008183558,0.001293995,0.0002720031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001161173,"about_ca_system_score_gemma":0.001239788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0104717,"about_ca_topic_score_gemma":0.009844984,"domain_scores_codex":[0.9972054,0.0020301,0.00008848965,0.0003952571,0.0001145178,0.0001663046],"domain_scores_gemma":[0.9794477,0.01685719,0.001080838,0.001625558,0.0005673391,0.0004213658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005521927,0.0002368803,0.05549894,0.00005788627,0.0002962413,0.0002285038,0.000225507,0.9229898,0.001168505,0.01086351,0.0006388142,0.007243148],"study_design_scores_gemma":[0.0001672059,0.0001376788,0.007837583,0.000007531806,0.00005928305,0.00009478466,0.00003247359,0.9797793,0.0003594751,0.01094142,0.0005600913,0.00002306435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8673757,0.0001393484,0.1293507,0.0004414165,0.00003209678,0.0002422006,0.00163267,0.0001855573,0.0006002932],"genre_scores_gemma":[0.9382972,0.0001038775,0.05740765,0.00006138637,0.00001841674,0.000582939,0.002018142,0.00002825976,0.001482033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01140803,"threshold_uncertainty_score":0.06033218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129228680643129,"score_gpt":0.2327820204062412,"score_spread":0.2114897335998099,"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."}}