{"id":"W1755797074","doi":"10.1186/s12859-015-0581-5","title":"GENLIB: an R package for the analysis of genealogical data","year":2015,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Université du Québec à Chicoutimi; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Canadian Institutes of Health Research","keywords":"Pedigree chart; Kinship; Population; Inbreeding; Genealogy; Sample (material); R package; Software; Computer science; Flexibility (engineering); Genetic genealogy; Selection (genetic algorithm); Data science; Biology; Genetics; Demography; Artificial intelligence; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.006039273,0.003471804,0.00328273,0.003731986,0.0009254236,0.004130948,0.006018388,0.001270543,0.09763578],"category_scores_gemma":[0.03563046,0.002012978,0.002951,0.004585681,0.001487621,0.002749491,0.003364909,0.003647217,0.05756155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001451251,"about_ca_system_score_gemma":0.005907223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01307074,"about_ca_topic_score_gemma":0.01344014,"domain_scores_codex":[0.9962323,0.00147231,0.0003623944,0.0008340005,0.0008160343,0.0002829928],"domain_scores_gemma":[0.9807948,0.01345778,0.001444849,0.00201956,0.001781519,0.0005013995],"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":[0.0004653173,0.00005007713,0.007648168,0.003800519,0.001532517,0.0006026956,0.0004599187,0.01073542,0.001883151,0.01318469,0.8931363,0.06650129],"study_design_scores_gemma":[0.0006987517,0.000121176,0.01099812,0.00111589,0.0007903206,0.00111294,0.0001810787,0.0470028,0.005107818,0.06075918,0.8717883,0.0003237007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.00536662,0.002612888,0.2977745,0.001444198,0.0007325914,0.0005322894,0.3395265,0.3439354,0.008075058],"genre_scores_gemma":[0.03996209,0.001919864,0.440423,0.002213566,0.0003939981,0.004553013,0.2397361,0.2614031,0.009395228],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.09763578,"threshold_uncertainty_score":0.3266242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1554890731997377,"score_gpt":0.3560723914392484,"score_spread":0.2005833182395107,"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."}}