{"id":"W2072972621","doi":"10.1038/hdy.2009.7","title":"Microsatellite genetic differentiation among populations of the Trinidadian guppy","year":2009,"lang":"en","type":"article","venue":"Heredity","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":70,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Innovation Trust","keywords":"Biology; Genetic diversity; Population; Genetic structure; Local adaptation; Ecology; Gene flow; Range (aeronautics); Genetic drift; Isolation by distance; Population genetics; Guppy; Poecilia; Genetic variation; Evolutionary biology; Fishery; Genetics; Fish <Actinopterygii>","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":[0.0003165887,0.0002283322,0.0002767744,0.001111075,0.0007209576,0.0005539163,0.0003580852,0.0001944418,0.001175762],"category_scores_gemma":[0.0007907324,0.0001834636,0.0001501084,0.001095968,0.0005882207,0.0002042086,0.0007991373,0.0002414553,0.0001205564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001982748,"about_ca_system_score_gemma":0.000733293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2424216,"about_ca_topic_score_gemma":0.455997,"domain_scores_codex":[0.9998537,0.00002658282,0.000008394136,0.00005294122,0.00001846279,0.00003988606],"domain_scores_gemma":[0.999698,0.00004158952,0.0000753045,0.00002088727,0.0001022893,0.00006190287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001136148,0.00005270022,0.9096826,0.00009055138,0.0001794715,0.0005286752,0.02004817,0.0008437409,0.04459047,0.0006909532,0.0005230234,0.02163353],"study_design_scores_gemma":[0.000009268917,0.0000258164,0.9976533,0.000007292706,0.00001306073,0.00006991707,0.001417172,0.0002064679,0.0001093908,0.00007348744,0.0004086552,0.000006180433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995894,0.00002342266,0.00004583721,0.000008740362,4.668918e-7,0.000001827994,0.00005697514,0.000002315312,0.0002709645],"genre_scores_gemma":[0.9989966,0.00003884455,0.0002302446,0.00001110805,8.446082e-7,0.00001031482,0.0002394681,0.000004872191,0.000467843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2424216,"threshold_uncertainty_score":0.482021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425645906367945,"score_gpt":0.2302226133871023,"score_spread":0.2159661543234228,"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."}}