{"id":"W2234497665","doi":"10.1002/pro.2876","title":"How mutational epistasis impairs predictability in protein evolution and design","year":2016,"lang":"en","type":"article","venue":"Protein Science","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":232,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Epistasis; Mutation; Biology; Genetics; Point mutation; Evolutionary biology; Computational biology; Gene","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":[0.0008879912,0.0000878714,0.00006421658,0.00006724087,0.00009865237,0.00003952757,0.0001727428,0.00006094292,0.000005445925],"category_scores_gemma":[0.0007489877,0.0000652743,0.00001856984,0.0002231068,0.0006995935,0.00002057682,0.00009656823,0.00003615745,0.000002191989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007519621,"about_ca_system_score_gemma":0.0002946568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001486368,"about_ca_topic_score_gemma":0.000044187,"domain_scores_codex":[0.9989114,0.00007894146,0.0001223283,0.0004167407,0.0002318179,0.0002387549],"domain_scores_gemma":[0.9995256,0.000008019726,0.0000516418,0.0002089631,0.0001154162,0.00009034967],"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":[0.00003559913,0.00002833997,0.006821553,0.00000848795,0.000001450193,5.480884e-7,0.00001841253,0.00002843433,0.9873512,0.001054938,0.00001275541,0.004638331],"study_design_scores_gemma":[0.001662201,0.0007469632,0.3243841,0.00009969083,0.000005012861,0.00002926502,0.0001383426,0.007095087,0.6470836,0.01754936,0.0007200781,0.0004863527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7363532,0.0001352362,0.2618443,0.000993521,0.00002135395,0.000574012,0.000009971707,0.000009198309,0.0000592531],"genre_scores_gemma":[0.986183,0.000005428977,0.01303373,0.00001584044,0.00002470299,0.0001370276,0.000002243261,0.000004846037,0.0005931729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3402676,"threshold_uncertainty_score":0.2661809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021736249981421,"score_gpt":0.2388935581320025,"score_spread":0.2286761956321883,"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."}}