{"id":"W2746479135","doi":"10.1186/s12864-017-3933-x","title":"Genomic data illuminates demography, genetic structure and selection of a popular dog breed","year":2017,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences","keywords":"Inbreeding; Biology; Runs of Homozygosity; Breed; Evolutionary biology; Genetic diversity; Population; Genetics; Selection (genetic algorithm); Genotype; Gene; Single-nucleotide polymorphism; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004455591,0.0001664779,0.0003032725,0.001524541,0.0002222845,0.0006598815,0.0001749893,0.0003804174,0.001732132],"category_scores_gemma":[0.001315823,0.0001528886,0.0002049561,0.001727677,0.0004493951,0.0004690207,0.0005532908,0.0004374734,0.000267124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003240924,"about_ca_system_score_gemma":0.0001422451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003223026,"about_ca_topic_score_gemma":0.006192676,"domain_scores_codex":[0.9997501,0.00007722655,0.00001215567,0.00009537397,0.00003950162,0.00002575486],"domain_scores_gemma":[0.9988421,0.0004150066,0.0003946286,0.0001232963,0.0001551636,0.00006989911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003540796,0.00007093772,0.8193635,0.0003772815,0.000420613,0.0003065772,0.002561845,0.002650998,0.1063128,0.002312953,0.001229512,0.06403896],"study_design_scores_gemma":[0.000003875538,0.00003799127,0.9953246,0.00001899096,0.00004829084,0.0001388074,0.0002848387,0.0007485051,0.0009111916,0.0008194888,0.001656043,0.000007332125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924258,0.0005447842,0.003691369,0.0001443222,0.000006373395,0.000006071783,0.001677828,0.00002854788,0.001474966],"genre_scores_gemma":[0.9946216,0.0002786555,0.003242754,0.00006308153,0.00001331447,0.00000617758,0.001515011,0.00001309566,0.0002462101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003223026,"threshold_uncertainty_score":0.006408572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975850660006736,"score_gpt":0.2456524936664641,"score_spread":0.2258939870663967,"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."}}