{"id":"W3025468292","doi":"10.1371/journal.pbio.3000627","title":"Humanization of yeast genes with multiple human orthologs reveals functional divergence between paralogs","year":2020,"lang":"en","type":"article","venue":"PLoS Biology","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Welch Foundation; University of Washington; Canada Excellence Research Chairs, Government of Canada; National Institute of General Medical Sciences; American Heart Association; National Institutes of Health; National Science Foundation","keywords":"Biology; Gene; Evolutionary biology; Genetics; Functional divergence; Divergence (linguistics); Yeast; Computational biology; Genome; Gene family","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":[],"consensus_categories":[],"category_scores_codex":[0.00007425358,0.0001260778,0.0002010051,0.00002277501,0.00008169368,0.000004040836,0.0001609429,0.0001622529,0.00009926588],"category_scores_gemma":[0.0000848923,0.0001029672,0.00004581856,0.00007474577,0.0001110213,0.000003222265,0.00008864928,0.0000484239,0.00001681234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003294119,"about_ca_system_score_gemma":0.00002145601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001223001,"about_ca_topic_score_gemma":0.000009259299,"domain_scores_codex":[0.9991323,0.0001043555,0.0002042942,0.000330636,0.0000700541,0.0001583791],"domain_scores_gemma":[0.9995132,0.00001578775,0.0001372429,0.0001745982,0.0000970185,0.00006213377],"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":[0.00005046543,0.00002023586,0.2858212,0.00001501699,0.00005746182,6.439795e-7,0.00002471686,0.00001035551,0.7133769,0.0002450428,0.00007440843,0.0003035061],"study_design_scores_gemma":[0.000354604,0.000923789,0.06835246,0.000009416059,0.00003913863,0.00000256403,0.00002233299,0.000006674326,0.9282707,0.0002831043,0.001569321,0.0001658757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879106,0.0002300846,0.01126936,0.0001463298,0.00003327301,0.0001853517,0.00007488413,0.00001784278,0.000132241],"genre_scores_gemma":[0.9977189,0.00003834061,0.001178079,0.0002030197,0.0002788037,0.0000248711,0.0004692807,0.00001598458,0.00007272376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2174688,"threshold_uncertainty_score":0.4198883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04291498860886225,"score_gpt":0.2439289206417983,"score_spread":0.2010139320329361,"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."}}