{"id":"W2058900411","doi":"10.1159/000067666","title":"Enhanced Pedigree Error Detection","year":2002,"lang":"en","type":"article","venue":"Human Heredity","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":146,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Human Genome Research Institute; National Institutes of Health","keywords":"Pedigree chart; Linkage (software); Computer science; Type I and type II errors; Statistics; Range (aeronautics); Software; Data mining; Biology; Genetics; 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":[0.0001369006,0.000091896,0.0001042047,0.00001899949,0.0001591699,0.000007642374,0.00009658429,0.0001591023,0.0003653956],"category_scores_gemma":[0.0001128879,0.00009288976,0.0000691989,0.0000406845,0.00004462847,0.000001706825,0.0000434554,0.00007692268,0.00009138322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001555477,"about_ca_system_score_gemma":0.000005082158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002539308,"about_ca_topic_score_gemma":0.0003235282,"domain_scores_codex":[0.9992772,0.00006746652,0.0001576965,0.0002365893,0.0000630648,0.0001979995],"domain_scores_gemma":[0.9995708,0.000008467806,0.00007530736,0.0002402602,0.00005154092,0.00005358571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001200301,0.0001466892,0.01247325,0.00001265301,0.00005875171,0.000001707168,0.0001299932,0.00007807143,0.9173613,0.00005508226,0.05709135,0.01257915],"study_design_scores_gemma":[0.002050173,0.001463311,0.5826797,0.00001254619,0.00007567318,0.0000331111,0.0002548944,0.001364748,0.2381614,0.001558579,0.1713705,0.0009752932],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846737,0.0001680299,0.003871313,0.00008366073,0.0002884639,0.00008250741,0.00000620815,0.0000216905,0.01080447],"genre_scores_gemma":[0.9940186,0.00003621128,0.000200932,0.0001461153,0.0008397712,0.00001974341,0.00003044363,0.00001084958,0.004697377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6791999,"threshold_uncertainty_score":0.4000826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04100695538423967,"score_gpt":0.2847489104055815,"score_spread":0.2437419550213419,"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."}}