{"id":"W2523941254","doi":"10.1002/ece3.2444","title":"<scp>SNP</scp>s across time and space: population genomic signatures of founder events and epizootics in the House Finch (<i>Haemorhous mexicanus</i>)","year":2016,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum; University of Toronto","funders":"Society for the Study of Evolution; American Museum of Natural History; National Science Foundation","keywords":"Biology; Epizootic; Founder effect; Population genomics; Population; Linkage disequilibrium; Evolutionary biology; Natural selection; Genetic diversity; Population genetics; Zoology; Haplotype; Genomics; Genome; Genetics; Allele; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001856907,0.00008660649,0.0001082358,0.00003006316,0.0001138022,0.000006590626,0.00005791491,0.0002258584,0.000003164728],"category_scores_gemma":[0.00007955354,0.00006193344,0.00001847344,0.00003871494,0.0001195322,0.000007614439,0.00007321101,0.0000561957,0.000001940555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001142142,"about_ca_system_score_gemma":0.00001317332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004608554,"about_ca_topic_score_gemma":0.0003866197,"domain_scores_codex":[0.9993984,0.00009897018,0.000117765,0.0001860111,0.00005360238,0.0001452824],"domain_scores_gemma":[0.9997106,0.00005611521,0.00007621121,0.0001028374,0.00002498456,0.00002921406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003990004,0.0000234471,0.9396376,0.00001596468,0.00002653938,0.000001253078,0.0003996565,0.0001305001,0.05827139,0.0003007344,0.000609536,0.0005434499],"study_design_scores_gemma":[0.0005909521,0.0001180346,0.9955125,0.000005532372,0.00001846595,0.00002211853,0.0001119364,0.00004799774,0.0006393124,0.00235969,0.0005302278,0.00004319508],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986751,0.0006723318,0.0001556983,0.0002254427,0.00007182691,0.0001333696,0.00003134165,0.000004746909,0.00003011725],"genre_scores_gemma":[0.9992695,0.0002038061,0.0001411977,0.0000987642,0.00004429859,0.000002176864,0.00002461526,0.00000589746,0.0002097245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05763208,"threshold_uncertainty_score":0.2525572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007796984270469409,"score_gpt":0.2290642869550046,"score_spread":0.2212673026845352,"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."}}