{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009365753,0.000196507,0.0003888851,0.00009738356,0.0001441133,0.000006587588,0.0001565124,0.0005569409,0.00003439074],"category_scores_gemma":[0.001156087,0.0001598147,0.00005696002,0.00008216546,0.0002662385,0.000005584003,0.00005495402,0.0001327474,0.000004135046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001573191,"about_ca_system_score_gemma":0.0000449183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007601901,"about_ca_topic_score_gemma":0.00008817465,"domain_scores_codex":[0.9984962,0.0001289088,0.0004343292,0.0004570172,0.00003495829,0.0004486202],"domain_scores_gemma":[0.9991329,0.0001997722,0.0001750948,0.0002354586,0.0001302848,0.0001264749],"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":[0.0002937513,0.0002085696,0.379408,0.0001180646,0.000345686,8.84036e-7,0.001748168,0.0002466461,0.5892323,0.003025851,0.006752492,0.01861953],"study_design_scores_gemma":[0.02331621,0.01440234,0.6993806,0.0003221931,0.000612863,0.00006540346,0.006664522,0.01210529,0.01137538,0.05933344,0.1705045,0.001917218],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.968891,0.001225248,0.02678141,0.001910912,0.0001683939,0.0008156634,0.00004054812,0.00001611901,0.0001507029],"genre_scores_gemma":[0.992592,0.0002099254,0.003913318,0.001023784,0.0002763674,0.0003245733,0.0009273537,0.00002748525,0.0007052431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.577857,"threshold_uncertainty_score":0.6517055,"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."}}