{"id":"W2075527847","doi":"10.1159/000324177","title":"Coordinated Conditional Simulation with SLINK and SUP of Many Markers Linked or Associated to a Trait in Large Pedigrees","year":2011,"lang":"en","type":"article","venue":"Human Heredity","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"National Institutes of Health; University of Pittsburgh","keywords":"Pedigree chart; Linkage (software); Trait; Genetics; Quantitative trait locus; Locus (genetics); Genetic linkage; Software; Computer science; Identity by descent; R package; Computational biology; Biology; Genotype; Gene; Haplotype; Programming language","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":[0.005308709,0.001027491,0.001152892,0.0009828175,0.0006020626,0.001552536,0.002861999,0.001047581,0.01687506],"category_scores_gemma":[0.01572107,0.001020072,0.001748923,0.001052533,0.0007651432,0.001783991,0.002107877,0.001991033,0.003674361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006242715,"about_ca_system_score_gemma":0.001775004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005348357,"about_ca_topic_score_gemma":0.006231563,"domain_scores_codex":[0.9983966,0.0008634284,0.0001263228,0.0003150142,0.0002029469,0.00009574309],"domain_scores_gemma":[0.9895928,0.007847105,0.0004258371,0.001253226,0.000615356,0.0002656222],"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":[0.001053869,0.0002111789,0.0164946,0.0007392938,0.0004711046,0.00069545,0.0008692264,0.7650532,0.004561387,0.06757248,0.03565563,0.1066225],"study_design_scores_gemma":[0.0002051399,0.00005133367,0.0005568364,0.00004589604,0.00006740454,0.0001251898,0.00004230973,0.9505177,0.002893589,0.03237776,0.01307723,0.00003949256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02037889,0.0001218248,0.9535129,0.0002212221,0.0001129451,0.0001295261,0.002825879,0.01962683,0.003070028],"genre_scores_gemma":[0.1833257,0.0002324573,0.7913469,0.0004314865,0.0000723315,0.001223496,0.009268675,0.009428397,0.00467056],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01687506,"threshold_uncertainty_score":0.05645269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03868824507270785,"score_gpt":0.2917879819860413,"score_spread":0.2530997369133334,"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."}}