{"id":"W4307515312","doi":"10.1101/2022.10.28.514245","title":"GENLIB: new function to simulate haplotype transmission in large complex genealogies","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital Maisonneuve-Rosemont; Université du Québec à Chicoutimi; University of Ottawa","funders":"","keywords":"Scripting language; Haplotype; R package; Function (biology); Computer science; Transmission (telecommunications); Genealogy; Biology; Evolutionary biology; Genetics; Programming language; History; Gene; Telecommunications","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":[0.002345145,0.001628537,0.001422699,0.001222016,0.0006583507,0.0017386,0.003301164,0.001412726,0.03738968],"category_scores_gemma":[0.007753435,0.001339074,0.002089373,0.001106558,0.0007578239,0.001276172,0.001868127,0.001898563,0.01139712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020569,"about_ca_system_score_gemma":0.001814844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007371738,"about_ca_topic_score_gemma":0.006689463,"domain_scores_codex":[0.9993851,0.000250692,0.00004344574,0.0001285784,0.0001296797,0.00006231701],"domain_scores_gemma":[0.9982699,0.001119233,0.00009620686,0.0002534363,0.0001710962,0.00009009091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007266296,0.0001560734,0.020673,0.001182093,0.001072596,0.0007388501,0.0005575055,0.4161064,0.004376175,0.0339054,0.43668,0.08382525],"study_design_scores_gemma":[0.0004078429,0.00004986249,0.002362892,0.0001220791,0.0001124424,0.0004122551,0.00004889307,0.8482294,0.005458424,0.03655513,0.1061285,0.0001122571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.027944,0.0007923852,0.6737701,0.0007823448,0.0005020347,0.0001899431,0.05429563,0.2343728,0.007350754],"genre_scores_gemma":[0.1956886,0.0008577628,0.5739099,0.001928402,0.0003354497,0.002591253,0.07715001,0.1324911,0.01504755],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03738968,"threshold_uncertainty_score":0.125081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02371731604191112,"score_gpt":0.2592895520545992,"score_spread":0.2355722360126881,"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."}}