{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000682618,0.0001046796,0.0001423278,0.00002824312,0.00007117642,0.000001281988,0.0001063615,0.0001285445,0.000002544273],"category_scores_gemma":[0.00005264959,0.00009606552,0.00003785119,0.00003012215,0.0005429013,0.000001214709,0.00008994154,0.00005109213,0.000001243647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006998164,"about_ca_system_score_gemma":0.00001827746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006147425,"about_ca_topic_score_gemma":0.00001104162,"domain_scores_codex":[0.999364,0.00006588652,0.0001218883,0.000243546,0.00003538202,0.0001693491],"domain_scores_gemma":[0.9997113,0.00008303555,0.00005082139,0.0001039651,0.0000156811,0.00003513611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000198602,0.00004894863,0.4078358,0.00006438743,0.00005075849,0.00000380109,0.000202449,0.0001975861,0.5875815,0.0009182297,0.000955648,0.001942389],"study_design_scores_gemma":[0.001280486,0.0007778796,0.8749078,0.00002383453,0.00001823764,0.00003430468,0.00003364319,0.0000135137,0.1214347,0.0008476794,0.0004295634,0.0001983636],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901075,0.0002339652,0.009037479,0.0001881834,0.0001444692,0.0001969076,0.000009763606,0.000004028159,0.00007771247],"genre_scores_gemma":[0.9930516,0.00005062565,0.00604104,0.0007377787,0.00006106507,0.00001456661,0.00001350212,0.000006176821,0.00002363621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.467072,"threshold_uncertainty_score":0.3917438,"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."}}