{"id":"W2131395947","doi":"10.1534/genetics.108.099812","title":"Testing for Spatially Divergent Selection: Comparing <i>Q</i>ST to <i>F</i>ST","year":2009,"lang":"en","type":"article","venue":"Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":188,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Biology; Trait; Quantitative trait locus; Selection (genetic algorithm); Genetics; Type I and type II errors; Evolutionary biology; Null hypothesis; Neutrality; Statistics; Gene; Mathematics","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":[0.0001008295,0.0001950779,0.0001584601,0.00003251491,0.0001799139,0.00003740823,0.0002504855,0.0001106314,0.00001268125],"category_scores_gemma":[0.00008288435,0.0002107965,0.00007149364,0.000137985,0.00002654072,0.000001503476,0.00008056325,0.00006558443,0.00001042502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001405319,"about_ca_system_score_gemma":0.00007666749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000480832,"about_ca_topic_score_gemma":0.00005537107,"domain_scores_codex":[0.9988139,0.00002297368,0.0002435488,0.0004119702,0.0001352057,0.0003724445],"domain_scores_gemma":[0.9993016,0.00001625,0.00006436479,0.0002689532,0.0001761418,0.0001727544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000215454,0.0002745749,0.03718544,0.00004272927,0.00009323227,6.690848e-7,0.0001712427,0.08710972,0.7657219,0.0017048,0.04444647,0.06303377],"study_design_scores_gemma":[0.001949523,0.007321875,0.4116143,0.00005193674,0.0001382117,0.000049114,0.00005966099,0.001252033,0.2630403,0.004607381,0.3086552,0.001260495],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8046986,0.0004434104,0.1908733,0.0003613197,0.0004562338,0.0006541838,0.00005821099,0.00004548845,0.002409207],"genre_scores_gemma":[0.7572664,0.000004219087,0.2407206,0.0009330075,0.0007332261,0.00002361457,0.00006825211,0.00002012702,0.0002304813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5026816,"threshold_uncertainty_score":0.859603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02612657334062617,"score_gpt":0.2583168977925857,"score_spread":0.2321903244519595,"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."}}