{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002385003,0.0001116179,0.0001670781,0.0005542242,0.0002888104,0.0002976955,0.0002281882,0.0002206228,0.00128731],"category_scores_gemma":[0.0004074929,0.00009760504,0.0001755151,0.0005456169,0.0003561332,0.0001626209,0.0002263075,0.0003492186,0.00009390059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002000291,"about_ca_system_score_gemma":0.0001127201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005716218,"about_ca_topic_score_gemma":0.01413478,"domain_scores_codex":[0.9998646,0.00001689703,0.000007234509,0.00007351355,0.00001789088,0.00001987481],"domain_scores_gemma":[0.9994985,0.0001002837,0.0002451237,0.00003827624,0.00004749122,0.00007032731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004107165,0.00005338651,0.6341414,0.00009551144,0.0003048599,0.0002979015,0.0005424437,0.001004901,0.3520874,0.0002520993,0.00051253,0.01029684],"study_design_scores_gemma":[0.000002789437,0.00003081814,0.9968677,0.000002586691,0.00001962728,0.00009673939,0.00009818422,0.0006959895,0.001857741,0.00004202999,0.0002819978,0.000003853629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988858,0.00003836761,0.0004177578,0.00002086411,0.000001989275,0.0000020843,0.0004321042,0.00001492832,0.0001861702],"genre_scores_gemma":[0.9990649,0.00001389363,0.0003712993,0.00003757797,0.000003101628,0.000004447854,0.000342925,0.000007434121,0.0001544685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005716218,"threshold_uncertainty_score":0.01136589,"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."}}