{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005473421,0.0005021631,0.0005484623,0.001078215,0.0006141771,0.0008032577,0.0006470821,0.0004970242,0.001131984],"category_scores_gemma":[0.0008533896,0.0003424115,0.0004314602,0.0005152507,0.0005558756,0.0004060575,0.001619152,0.0008887216,0.0001956534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004909383,"about_ca_system_score_gemma":0.0003166548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007190041,"about_ca_topic_score_gemma":0.001366165,"domain_scores_codex":[0.9995506,0.0001191112,0.00003639003,0.00009337898,0.0001156985,0.00008486157],"domain_scores_gemma":[0.9995674,0.000144399,0.00006818108,0.00006055355,0.00006097775,0.00009841407],"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":[0.0002631925,0.00004673985,0.003374839,0.00002602954,0.00003404836,0.0003193565,0.0002055514,0.0003285634,0.9867257,0.0007414061,0.00005172663,0.007882877],"study_design_scores_gemma":[0.0002896002,0.001180074,0.2836065,0.00003860596,0.0003851665,0.01076401,0.003201868,0.02667132,0.6547441,0.008347671,0.01043572,0.0003354318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966571,0.000123519,0.00218435,0.00006512008,0.000007876942,0.00000638342,0.00003702541,0.00003366244,0.0008849149],"genre_scores_gemma":[0.9976543,0.0001097457,0.001402676,0.00008242606,0.000004894961,0.00001038893,0.00009575843,0.00003822683,0.0006016243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001131984,"threshold_uncertainty_score":0.003786862,"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."}}