{"id":"W4296050014","doi":"10.22541/au.166330624.47285960/v1","title":"Genomic health is dependent on long-term population demographic history","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Gouvernement du Québec; Université Laval; Ministère des Ressources naturelles et des Forêts; Trent University","funders":"","keywords":"Inbreeding; Biology; Population bottleneck; Runs of Homozygosity; Population; Effective population size; Evolutionary biology; Allele; Genetics; Genome; Mutation Accumulation; Bottleneck; White (mutation); Genetic diversity; Genetic load; Loss of heterozygosity; Genetic variation; Gene; Microsatellite; Demography; Genotype","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":[0.00140078,0.0003033752,0.0003546716,0.001048066,0.0003806291,0.001094831,0.0004001065,0.0005182926,0.001889112],"category_scores_gemma":[0.004286067,0.0002083244,0.0002171109,0.0009529587,0.001006415,0.001199623,0.0007737734,0.0005051317,0.0004183913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00029201,"about_ca_system_score_gemma":0.0002392216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001669859,"about_ca_topic_score_gemma":0.002617967,"domain_scores_codex":[0.9992561,0.0001875916,0.00004206918,0.0003237734,0.0001193335,0.00007117189],"domain_scores_gemma":[0.9960473,0.001805299,0.001177819,0.0004460603,0.0003461191,0.0001774749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001707981,0.00006193549,0.8797623,0.0001625619,0.0003865155,0.0003042578,0.001037047,0.003167101,0.04495582,0.002926725,0.0005022655,0.06656269],"study_design_scores_gemma":[0.000002419757,0.0001401217,0.9905628,0.00002548149,0.00005902961,0.000304867,0.0003715653,0.002252932,0.001359959,0.003464157,0.001433101,0.00002351012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817297,0.00157455,0.01210997,0.0002326975,0.00002162088,0.00001571829,0.001262021,0.00006812952,0.002985525],"genre_scores_gemma":[0.9960881,0.0004635768,0.002067422,0.00009757512,0.00002255202,0.00002216802,0.0007117257,0.00001778017,0.0005090694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001889112,"threshold_uncertainty_score":0.007408142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02289106221880596,"score_gpt":0.2683990441665186,"score_spread":0.2455079819477126,"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."}}