{"id":"W4280588061","doi":"10.1111/jbg.12720","title":"Assessing the genomic diversity and relatedness in 10 Canadian heritage chicken lines using whole‐genome sequence data","year":2022,"lang":"en","type":"article","venue":"Journal of Animal Breeding and Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Livestock and Meat Agency; Agriculture Food and Rural Development; University of Alberta","funders":"","keywords":"Genetic diversity; Biology; Inbreeding; Sire; Selection (genetic algorithm); Loss of heterozygosity; Flock; Whole genome sequencing; Evolutionary biology; Genetics; Genome; Animal science; Ecology; Allele; Demography; Population; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003504126,0.0002901249,0.0002933631,0.001697844,0.001016268,0.0005772895,0.0004030883,0.0002608113,0.0009380839],"category_scores_gemma":[0.0004802643,0.0001740084,0.0003173006,0.002151477,0.0004366829,0.00007315523,0.0002797073,0.0002663333,0.0002308529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003141098,"about_ca_system_score_gemma":0.002403892,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7751488,"about_ca_topic_score_gemma":0.9158263,"domain_scores_codex":[0.999647,0.0000115216,0.00001292659,0.00009002499,0.0001577227,0.00008078127],"domain_scores_gemma":[0.9995696,0.00003818089,0.00005909564,0.00002747707,0.0002166003,0.00008906715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006182652,0.00009135114,0.6235183,0.000156299,0.0002848052,0.0009658648,0.002530867,0.0008493579,0.3240112,0.0002461983,0.001184278,0.04554315],"study_design_scores_gemma":[0.000006928681,0.00005313698,0.9949467,0.000009112069,0.00003226378,0.0001489742,0.0003553453,0.0002224617,0.001826129,0.0000105765,0.002380467,0.000007999374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946614,0.0002375173,0.0004934182,0.00002876214,0.000003529243,0.00003404162,0.00313588,0.00001895435,0.001386421],"genre_scores_gemma":[0.9789579,0.000515039,0.00493846,0.00009879474,0.00000389562,0.00004985181,0.01254972,0.00002155519,0.002864786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7751488,"threshold_uncertainty_score":0.4523507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08248949482773828,"score_gpt":0.2965329248328886,"score_spread":0.2140434300051503,"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."}}