{"id":"W4327682542","doi":"10.1093/bioinformatics/btad136","title":"GENLIB: new function to simulate haplotype transmission in large complex genealogies","year":2023,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital Maisonneuve-Rosemont; Université du Québec à Chicoutimi; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Canadian Institutes of Health Research; University of Ottawa; Canarie","keywords":"Haplotype; R package; Computer science; Function (biology); Transmission (telecommunications); Proband; Genealogy; Theoretical computer science; Biology; Mutation; Genetics; Programming language; History; Telecommunications; Gene","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":[0.0003040436,0.0001184876,0.0001540181,0.0001130909,0.00007167127,0.00001440038,0.0001272261,0.000164026,0.00003037537],"category_scores_gemma":[0.0001209734,0.0001095158,0.00005846066,0.0002881734,0.00001195595,0.000004939842,0.00009180161,0.00005763503,0.0003123456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001778792,"about_ca_system_score_gemma":0.00006657239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002174794,"about_ca_topic_score_gemma":0.00006179059,"domain_scores_codex":[0.9990441,0.00003229942,0.0003497122,0.0001393529,0.00008974677,0.0003448009],"domain_scores_gemma":[0.9995568,0.00002111276,0.00006779598,0.0002104134,0.00003527155,0.0001086421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004245604,0.0001867856,0.08784419,0.0002025916,0.0002232933,0.000006833455,0.003339549,0.1075354,0.1045678,0.0005345717,0.4157943,0.2793402],"study_design_scores_gemma":[0.0009811817,0.0003419015,0.4791264,0.0000144825,0.00001752272,0.000002326002,0.0004631643,0.08244781,0.000774843,0.0005089468,0.4350188,0.0003026185],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8504387,0.0001573569,0.1458622,0.001338949,0.0002740785,0.0003998909,0.00004056514,0.0001101365,0.001378171],"genre_scores_gemma":[0.9634109,0.0003806975,0.03140858,0.001908705,0.0001786769,0.00001573722,0.0008443735,0.00002792325,0.001824373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3912822,"threshold_uncertainty_score":0.4465924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03691441329216019,"score_gpt":0.29490424534431,"score_spread":0.2579898320521498,"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."}}