{"id":"W1604554928","doi":"10.1111/evo.12739","title":"When maladaptive gene flow does not increase selection","year":2015,"lang":"en","type":"article","venue":"Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gene flow; Gasterosteus; Biology; Stickleback; Selection (genetic algorithm); Population; Evolutionary biology; Directional selection; Flow (mathematics); Gene; Ecology; Genetics; Genetic variation; Fishery; Mechanics; Demography; Fish <Actinopterygii>; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001036962,0.0000811772,0.00005870731,0.00003196595,0.00007115294,0.00001369468,0.0000658933,0.0001226968,0.00004667249],"category_scores_gemma":[0.000056237,0.00007147354,0.00003662955,0.00004892819,0.00002682464,0.000005812981,0.00004957727,0.00004745667,0.00003878522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004153687,"about_ca_system_score_gemma":0.00006596088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001688867,"about_ca_topic_score_gemma":0.0001100703,"domain_scores_codex":[0.9994273,0.00005708613,0.0000821311,0.0001903885,0.0001271919,0.0001159625],"domain_scores_gemma":[0.999611,0.000001931184,0.00004391022,0.0001163022,0.0001362199,0.00009059339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001039665,0.00008944716,0.09628078,0.00001592023,0.0001312041,0.000003733499,0.0006659597,0.01183992,0.8338387,0.001056765,0.05111027,0.003927622],"study_design_scores_gemma":[0.003518421,0.0008333708,0.2773582,0.00001506659,0.0001426476,0.00009582417,0.0007118051,0.009515925,0.5377032,0.006950796,0.1622644,0.0008903646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718686,0.0001087497,0.02638592,0.0001830559,0.0003599169,0.0001027314,0.00004183299,0.00002102776,0.0009281031],"genre_scores_gemma":[0.9897447,0.000005871559,0.006753795,0.0001298263,0.0003784147,0.000003448333,0.0002019137,0.000006390454,0.002775601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2961355,"threshold_uncertainty_score":0.2914606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125026470836425,"score_gpt":0.2159015482121737,"score_spread":0.2033989011285312,"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."}}