{"id":"W4206991665","doi":"10.1002/ece3.8502","title":"Comparing genome scans among species of the stickleback order reveals three different patterns of genetic diversity","year":2022,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Health Solutions; California Department of Fish and Wildlife; University of Calgary","keywords":"Stickleback; Biology; Gasterosteus; Evolutionary biology; Genetic diversity; Genome; Convergent evolution; Range (aeronautics); Gene; Genetics; Phylogenetics; Fish <Actinopterygii>; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004114086,0.000130544,0.0002346236,0.001554337,0.0003653538,0.000511573,0.0001643197,0.0002837483,0.001057788],"category_scores_gemma":[0.001180014,0.0001026044,0.0002417983,0.0007788201,0.0004473675,0.0002479216,0.0004169974,0.0002421631,0.00008836231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002257887,"about_ca_system_score_gemma":0.000155703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002259692,"about_ca_topic_score_gemma":0.005169724,"domain_scores_codex":[0.9997202,0.00007570357,0.00002196177,0.0001029672,0.0000438863,0.00003539544],"domain_scores_gemma":[0.9992598,0.0003361357,0.000172816,0.00005867043,0.00007277572,0.00009983737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007027985,0.00005194528,0.829172,0.0001084491,0.0007008184,0.000173147,0.001073828,0.0006871582,0.158496,0.000427481,0.0001018056,0.0083047],"study_design_scores_gemma":[0.000004885133,0.00004653682,0.997806,0.000005020267,0.00004178008,0.0000754581,0.0002672414,0.0005171713,0.0009647019,0.0001558135,0.0001116112,0.00000370528],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995147,0.00005104402,0.0001669574,0.00000641134,6.504895e-7,0.00000138216,0.00009062791,0.000003819895,0.0001644271],"genre_scores_gemma":[0.9993804,0.00001736608,0.0002928564,0.000009559831,9.438976e-7,0.000002657296,0.0002344468,0.000002160828,0.00005963242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002259692,"threshold_uncertainty_score":0.004493058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0138901967431373,"score_gpt":0.1929989893160615,"score_spread":0.1791087925729242,"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."}}