{"id":"W2166532908","doi":"10.1016/j.tree.2009.03.010","title":"Relaxed selection in the wild","year":2009,"lang":"en","type":"review","venue":"Trends in Ecology & Evolution","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":649,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of British Columbia","funders":"","keywords":"Trait; Biology; Selection (genetic algorithm); Prospectus; Natural selection; Stickleback; Disruptive selection; Ecology; Evolutionary biology; Genetic architecture; Stabilizing selection; Resistance (ecology); Quantitative trait locus; Genetics; Computer science; Machine learning","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005806161,0.0003062734,0.0005622576,0.000467628,0.00007084046,0.00001141654,0.000346337,0.0009442429,0.00002880526],"category_scores_gemma":[0.00007529043,0.0002510565,0.0002379426,0.0008064174,0.00008954822,0.000003553971,0.00005224729,0.0005164411,0.00003137118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002951628,"about_ca_system_score_gemma":0.0001854721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000313141,"about_ca_topic_score_gemma":0.006557387,"domain_scores_codex":[0.9977885,0.0006325079,0.0005508083,0.0005192622,0.0001124051,0.0003964434],"domain_scores_gemma":[0.9993783,0.00003148673,0.0002198102,0.0003102395,0.00002790073,0.00003225276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003394641,0.00040162,0.002995236,0.0002716601,0.00006181373,0.000008164134,0.00004904722,0.0006343751,0.00002537999,0.0009478308,0.01115146,0.9834195],"study_design_scores_gemma":[0.0004755859,0.0004193373,0.06215728,0.0002405545,0.000135359,0.000161773,0.00002128234,0.0004639152,3.81742e-7,0.0002636859,0.9353094,0.0003514645],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001205557,0.9950539,0.0002379701,0.0001432037,0.0002669297,0.0003506092,0.0000125905,0.0000188115,0.002710352],"genre_scores_gemma":[0.01750672,0.9792112,0.00017848,0.0001288013,0.000239675,0.0001343401,0.0007418937,0.00002654723,0.001832368],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.983068,"threshold_uncertainty_score":0.9999942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01837722399536234,"score_gpt":0.3240091420786532,"score_spread":0.3056319180832909,"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."}}