{"id":"W2031933792","doi":"10.1186/1751-0473-8-5","title":"CrypticIBDcheck: an R package for checking cryptic relatedness in nominally unrelated individuals","year":2013,"lang":"en","type":"article","venue":"Source Code for Biology and Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Identity by descent; Single-nucleotide polymorphism; Genetic association; Linkage (software); Inference; Genome-wide association study; Population; Candidate gene; Genetics; Linkage disequilibrium; R package; Biology; Computer science; Computational biology; Statistics; Gene; Mathematics; Haplotype; Artificial intelligence; Allele; Genotype; Medicine","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":[0.00759674,0.002929688,0.002785937,0.0030363,0.0009220861,0.002860213,0.004625949,0.001200566,0.0717666],"category_scores_gemma":[0.05977116,0.002208094,0.003234885,0.002997405,0.001296459,0.002265424,0.004348974,0.003058286,0.03085295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007853841,"about_ca_system_score_gemma":0.003309011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004215852,"about_ca_topic_score_gemma":0.004641601,"domain_scores_codex":[0.9957473,0.001872069,0.0004441089,0.0009427333,0.00071532,0.0002785965],"domain_scores_gemma":[0.9701391,0.02164599,0.002657339,0.003499417,0.001465013,0.0005930326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00223002,0.0001088322,0.03253999,0.004887165,0.003311695,0.001234569,0.0008194597,0.01725611,0.004760569,0.01740323,0.7952115,0.120237],"study_design_scores_gemma":[0.002881838,0.0004241211,0.04940233,0.001530156,0.002095309,0.003930446,0.0003547144,0.1760055,0.01716231,0.1148082,0.6306446,0.0007603441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01217499,0.001535505,0.4550863,0.0009679638,0.0005570101,0.0005928177,0.1454222,0.3767701,0.006893145],"genre_scores_gemma":[0.1158755,0.001115268,0.5026628,0.001770955,0.0003586618,0.003770206,0.1286122,0.2376157,0.008218721],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0717666,"threshold_uncertainty_score":0.2400832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02290129479836676,"score_gpt":0.3208737314464153,"score_spread":0.2979724366480486,"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."}}