{"id":"W3175302687","doi":"10.1002/bies.202100052","title":"Methods for enzyme library creation: Which one will you choose?","year":2021,"lang":"en","type":"review","venue":"BioEssays","topic":"Enzyme Catalysis and Immobilization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; PROTEO; Centre in Green Chemistry and Catalysis","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Timer; Selection (genetic algorithm); Process (computing); Focus (optics); Repertoire; Section (typography); Data science; Artificial intelligence","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"],"consensus_categories":[],"category_scores_codex":[0.0003635849,0.000396665,0.001050668,0.00009306052,0.0001015422,0.0001076821,0.0003563098,0.0007236949,0.0001903199],"category_scores_gemma":[0.0003592629,0.0003532663,0.0006213438,0.000435402,0.00004419677,0.000015142,0.0002179291,0.0001322097,0.00001173747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002087405,"about_ca_system_score_gemma":0.0004295657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001377391,"about_ca_topic_score_gemma":0.000001491817,"domain_scores_codex":[0.9979477,0.0003230312,0.0005649173,0.0007897997,0.0001047163,0.0002698507],"domain_scores_gemma":[0.9984934,0.00007422266,0.0003219943,0.000816686,0.0001904747,0.0001031922],"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":[0.000007925877,0.0001313281,0.000002382855,0.004267243,0.0004836709,6.946461e-7,0.000008508548,0.000001280723,0.001937596,0.001114192,0.01810486,0.9739403],"study_design_scores_gemma":[0.0001701601,0.00008752156,8.194272e-7,0.001211132,0.0006790273,0.00001020932,0.000008398428,0.000007921035,0.01209761,0.00003303734,0.9852828,0.0004113757],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001070594,0.960869,0.03543751,0.00006826096,0.0003118003,0.000673403,0.0002353524,0.00002993223,0.002373666],"genre_scores_gemma":[0.000002533525,0.9419042,0.02146843,0.0001030363,0.001106071,0.0004107379,0.02687394,0.0001127367,0.008018351],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9735289,"threshold_uncertainty_score":0.9998919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04525707362018967,"score_gpt":0.3734745981512178,"score_spread":0.3282175245310281,"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."}}