{"id":"W2144323188","doi":"10.1098/rsbl.2008.0222","title":"Local effects of inbreeding on embryo number and consequences for genetic diversity in Kerguelen mouflon","year":2008,"lang":"en","type":"article","venue":"Biology Letters","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Institut Polaire Français Paul Emile Victor; Centre National de la Recherche Scientifique","keywords":"Biology; Inbreeding; Genetics; Loss of heterozygosity; Population; Ovis; Genetic diversity; Runs of Homozygosity; Embryo; Evolutionary biology; Inbreeding depression; Population genetics; Ovis canadensis; Genetic variation; Effective population size; Zoology; Gene; Ecology; Genotype; Allele; Demography; Single-nucleotide polymorphism","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003139015,0.0001872889,0.0004189234,0.001011662,0.000389474,0.0004450951,0.000343474,0.000245006,0.0008930529],"category_scores_gemma":[0.0008837319,0.0001209713,0.0001585683,0.0004049138,0.0006907178,0.0001741304,0.0004530818,0.0001972555,0.0001124523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008873812,"about_ca_system_score_gemma":0.0002068782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007759082,"about_ca_topic_score_gemma":0.0143267,"domain_scores_codex":[0.9997242,0.0000690501,0.00001429676,0.000111348,0.00003712139,0.00004404295],"domain_scores_gemma":[0.9993649,0.0001949888,0.0002105677,0.00003902484,0.00005715884,0.0001334184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001840692,0.0001229207,0.5270978,0.0000488447,0.0001941044,0.001312952,0.001506287,0.001519806,0.4566909,0.0002806983,0.0001071856,0.009277888],"study_design_scores_gemma":[0.000008961619,0.00008743706,0.9975273,0.00000205012,0.0000124234,0.0001695785,0.0001396277,0.0002662328,0.001653785,0.00002999933,0.00009487295,0.000007781677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998655,0.00002094098,0.00003132892,0.000002298226,2.106542e-7,5.004433e-7,0.00001790379,0.000001277573,0.00005999235],"genre_scores_gemma":[0.999719,0.00001473552,0.00006227021,0.00000496302,6.454576e-7,0.000002482101,0.0000436224,0.000003359961,0.0001489361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007759082,"threshold_uncertainty_score":0.01542789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476579216080619,"score_gpt":0.2340066777976973,"score_spread":0.2192408856368911,"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."}}