{"id":"W1992695578","doi":"10.1038/nature05856","title":"Incipient speciation by divergent adaptation and antagonistic epistasis in yeast","year":2007,"lang":"en","type":"article","venue":"Nature","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":267,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Reproductive isolation; Biology; Genetic algorithm; Epistasis; Hybrid; Ecological speciation; Adaptation (eye); Evolutionary biology; Experimental evolution; Ecological selection; Selection (genetic algorithm); Genetics; Genetic variation; Population; Gene; Gene flow","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":[0.0001504647,0.00004692645,0.00005506094,0.00001393819,0.00006533458,0.00001947332,0.00003330303,0.000171483,0.0001839645],"category_scores_gemma":[0.00003026375,0.00002009351,0.0000187622,0.0002183826,0.0000122016,0.00004862473,0.000009925385,0.0001929436,0.000008143558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003391372,"about_ca_system_score_gemma":0.000001206482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009698278,"about_ca_topic_score_gemma":0.001947054,"domain_scores_codex":[0.999543,0.00002229507,0.0001011745,0.0001185294,0.0001269103,0.00008814067],"domain_scores_gemma":[0.9998513,0.00003658924,0.00003682132,0.00001367286,0.00002346237,0.00003808599],"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":[0.000202161,0.0003172402,0.1792684,0.00001155514,0.0000316812,0.00002589904,0.001367317,0.00008436761,0.4063904,0.002462037,0.005437574,0.4044013],"study_design_scores_gemma":[0.0001229886,0.00003870091,0.9792823,0.000004480435,0.000008160767,0.000001122761,0.0009216837,0.0004454726,0.00287471,0.0001459981,0.01607012,0.00008422432],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983693,0.000177755,0.00001608415,0.0007834219,0.00005916826,0.0000540506,0.0000307302,0.000009810427,0.0004996321],"genre_scores_gemma":[0.9989787,0.00005394541,0.00004171114,0.0004591387,0.00005139297,8.470029e-7,0.0001637926,2.339856e-7,0.0002502862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8000139,"threshold_uncertainty_score":0.2014282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363850810859441,"score_gpt":0.2337401721695861,"score_spread":0.2201016640609917,"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."}}