{"id":"W1788683331","doi":"10.1002/yea.3018","title":"Insights into molecular evolution from yeast genomics","year":2014,"lang":"en","type":"review","venue":"Yeast","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Goddard Space Flight Center","keywords":"Biology; Gene duplication; Genomics; Evolutionary biology; Molecular evolution; Computational biology; Comparative genomics; Divergence (linguistics); Experimental evolution; Human evolutionary genetics; Adaptive evolution; Data science; Gene; Genetics; Phylogenetics; Genome; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009658211,0.0004480524,0.000760046,0.0001236608,0.00009070072,0.0000621086,0.0006432057,0.0006432095,0.00004149203],"category_scores_gemma":[0.00006468346,0.0003955564,0.0004596711,0.0001664678,0.0001125404,0.000002206208,0.000479847,0.0003278297,0.0008252416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001089991,"about_ca_system_score_gemma":0.0004357975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008417135,"about_ca_topic_score_gemma":0.00004988389,"domain_scores_codex":[0.9979292,0.0002243825,0.0004193709,0.0007781899,0.0002930717,0.0003558398],"domain_scores_gemma":[0.9985978,0.00001032543,0.0001741863,0.0008850207,0.0001098635,0.0002228131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003888771,0.0001373493,0.000007409454,0.003618697,0.000607208,0.00003170897,0.00004697781,0.00002801004,0.1414057,0.0005742821,0.003417369,0.8500865],"study_design_scores_gemma":[0.0001641244,0.00009792388,0.000006712137,0.0006678962,0.0001529279,0.000008597304,0.000006892033,0.00002858679,0.002276026,0.0002421598,0.9959037,0.0004445043],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001397428,0.9936208,0.002273281,0.000008863576,0.0003488448,0.0004018405,0.0001309329,0.00001748508,0.0018006],"genre_scores_gemma":[0.005032922,0.9899981,0.0005503633,0.00004437172,0.001218526,0.00008495096,0.002189687,0.0001192457,0.0007618298],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9924863,"threshold_uncertainty_score":0.9999527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01744565980703931,"score_gpt":0.295447856892871,"score_spread":0.2780021970858316,"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."}}