{"id":"W2094317540","doi":"10.1159/000099829","title":"Imputation of Missing Ages in Pedigree Data","year":2007,"lang":"en","type":"article","venue":"Human Heredity","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research","funders":"","keywords":"Imputation (statistics); Missing data; Statistics; Regression; Pedigree chart; Regression analysis; Linear regression; Mathematics; Medicine; Computer science; Biology; Genetics","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":[0.04355016,0.0007990162,0.001587806,0.002583205,0.0007458971,0.001254767,0.002024188,0.001135531,0.00119457],"category_scores_gemma":[0.1662041,0.0006710028,0.001138234,0.003091415,0.001123018,0.001785538,0.001132375,0.001393547,0.0002787705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008223668,"about_ca_system_score_gemma":0.001245552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002619574,"about_ca_topic_score_gemma":0.002134455,"domain_scores_codex":[0.9724783,0.02316977,0.0009637561,0.00148948,0.001581985,0.000316717],"domain_scores_gemma":[0.743692,0.2295658,0.01066334,0.01062377,0.004722086,0.0007329578],"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":[0.001678263,0.0003192109,0.2569019,0.001470568,0.002491721,0.0007252628,0.001515899,0.4731302,0.002078481,0.02485144,0.003950845,0.2308862],"study_design_scores_gemma":[0.0004687051,0.000569392,0.06973159,0.0007307136,0.0008275823,0.001343593,0.0002443834,0.76034,0.006412099,0.1532382,0.005931328,0.0001624235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.174825,0.002271494,0.8199898,0.0004956523,0.00006779863,0.000118392,0.001096751,0.0005306219,0.0006044792],"genre_scores_gemma":[0.701278,0.00113556,0.2945753,0.0001648813,0.00008349671,0.0002120062,0.002082167,0.00008507843,0.000383474],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04355016,"threshold_uncertainty_score":0.230318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2951842863507974,"score_gpt":0.4897296952113052,"score_spread":0.1945454088605078,"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."}}