{"id":"W4391647387","doi":"10.1002/ece3.10972","title":"Experimental evolution of hybrid populations to identify Dobzhansky–Muller incompatibility loci","year":2024,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Epistasis; Biology; Evolutionary biology; Reproductive isolation; Experimental evolution; Genetics; Selection (genetic algorithm); Fitness landscape; Evolvability; Replicate; Computational biology; Population; Gene; Machine learning; Computer science; Statistics","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":[0.001329501,0.0002296512,0.000190602,0.0002536928,0.0002960821,0.0002588096,0.0005596106,0.000313352,0.001301641],"category_scores_gemma":[0.002571461,0.0001519265,0.0002774458,0.0002186171,0.000388584,0.0002757412,0.0005229007,0.000778712,0.00008786798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005605975,"about_ca_system_score_gemma":0.0001864203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007917054,"about_ca_topic_score_gemma":0.001177624,"domain_scores_codex":[0.9996139,0.0001998942,0.00002789571,0.00007270486,0.00005475467,0.00003091283],"domain_scores_gemma":[0.997386,0.001942198,0.0002002221,0.0002804105,0.0001123564,0.00007875357],"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":[0.001983998,0.001829487,0.04799049,0.0003412177,0.0004886837,0.0003473586,0.0006870369,0.1986697,0.6918865,0.01613059,0.0006474187,0.03899762],"study_design_scores_gemma":[0.0005646523,0.005222038,0.03616958,0.00005115411,0.0002560412,0.0002914358,0.0003389924,0.6331999,0.3113018,0.007168534,0.005309415,0.0001264924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917864,0.00003552941,0.007127138,0.00002525845,0.00001102253,0.00003830465,0.00007836716,0.00003477349,0.0008631675],"genre_scores_gemma":[0.9903016,0.00002764651,0.008943211,0.00003295722,0.000002545409,0.0001274001,0.0001289145,0.00002160707,0.0004140439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001329501,"threshold_uncertainty_score":0.007031143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0447459224956964,"score_gpt":0.2821697132893982,"score_spread":0.2374237907937018,"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."}}