{"id":"W2070011257","doi":"10.1002/gepi.10202","title":"Regressive threshold model for familial analysis of complex diseases with variable age of onset","year":2002,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Covariate; Penetrance; Logistic regression; Variable (mathematics); Context (archaeology); Statistics; Age of onset; Threshold model; Econometrics; Mathematics; Disease; Genetics; Medicine; Internal medicine; Biology; Phenotype; Gene","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":[0.009035283,0.001522986,0.002121083,0.00170899,0.0004568547,0.001475989,0.003634838,0.001745939,0.004327173],"category_scores_gemma":[0.02051121,0.0007099157,0.003290046,0.002282496,0.001121109,0.001904254,0.001234681,0.002530986,0.001472242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00114302,"about_ca_system_score_gemma":0.001674475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006184974,"about_ca_topic_score_gemma":0.003131376,"domain_scores_codex":[0.9956098,0.002451658,0.0002371299,0.0008854548,0.0005788051,0.000237153],"domain_scores_gemma":[0.9921671,0.005885724,0.0005555453,0.0008253439,0.0004416724,0.0001246237],"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":[0.000948633,0.0002430204,0.01633608,0.0005387594,0.001263764,0.001221987,0.000584257,0.5321906,0.005517569,0.3009435,0.005592141,0.1346198],"study_design_scores_gemma":[0.00006864605,0.0001266388,0.002054308,0.00003416615,0.0002351126,0.0004012091,0.00002157904,0.911267,0.0005943742,0.08083405,0.004302004,0.00006084064],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01093713,0.000753348,0.9863869,0.0001893414,0.00006144869,0.00008409427,0.0003723438,0.0004469313,0.0007684578],"genre_scores_gemma":[0.4468894,0.003879743,0.533434,0.0004657148,0.0004364847,0.001440352,0.003250161,0.000548928,0.009655115],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009035283,"threshold_uncertainty_score":0.04778373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06156573020358464,"score_gpt":0.3054565040264556,"score_spread":0.243890773822871,"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."}}