{"id":"W4406674656","doi":"10.1093/molbev/msaf014","title":"Shared Selection and Genetic Architecture Drive Strikingly Repeatable Evolution in Long-Term Experimental Hybrid Populations","year":2025,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; National Science Foundation","keywords":"Biology; Selection (genetic algorithm); Genetic architecture; Natural selection; Evolutionary biology; Adaptation (eye); Background selection; Replicate; Genetics; Trait; Recombination; Experimental evolution; Directional selection; Quantitative trait locus; Genetic variation; Gene","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":[0.001154288,0.0001779055,0.0003185066,0.000416451,0.0003945982,0.0003916195,0.000478137,0.0004142399,0.0007083609],"category_scores_gemma":[0.001704374,0.0001954947,0.0003325754,0.0002511279,0.0008564395,0.0002932568,0.0006869026,0.0005492771,0.00006268868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006256672,"about_ca_system_score_gemma":0.0001955928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005535843,"about_ca_topic_score_gemma":0.001893842,"domain_scores_codex":[0.9992569,0.0002601855,0.00006719244,0.0002148377,0.0001287162,0.00007211434],"domain_scores_gemma":[0.9986701,0.0006037959,0.00023618,0.0003162671,0.00007740458,0.00009622102],"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":[0.0003390161,0.0001216485,0.03510103,0.00003022087,0.0001269945,0.00009834142,0.0003233895,0.001275789,0.9568575,0.000531278,0.00002013891,0.005174718],"study_design_scores_gemma":[0.0001090099,0.001482745,0.8643857,0.00001759306,0.0001973333,0.0009665728,0.0004695271,0.01476077,0.1145107,0.001964153,0.001050228,0.00008565928],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990984,0.00001924098,0.0007194561,0.000006157517,9.419059e-7,0.000003902245,0.0000209277,0.000007806862,0.0001231664],"genre_scores_gemma":[0.9990727,0.00001251343,0.0006915946,0.00001278688,0.000001734078,0.00001508152,0.00007187955,0.000008529851,0.0001130986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001154288,"threshold_uncertainty_score":0.006104529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004486583019377583,"score_gpt":0.2688823292713191,"score_spread":0.2643957462519415,"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."}}