{"id":"W2318754754","doi":"10.1021/sb500372z","title":"Yeast Golden Gate (yGG) for the Efficient Assembly of <i>S. cerevisiae</i> Transcription Units","year":2015,"lang":"en","type":"article","venue":"ACS Synthetic Biology","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Division of Molecular and Cellular Biosciences; Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency; Wellcome Trust","keywords":"Saccharomyces cerevisiae; Yeast; Synthetic biology; Promoter; Transcription (linguistics); Genetics; Biology; Computational biology; Golden gate; Gene; Coding region; Gene expression; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005659919,0.0006701541,0.0005471973,0.0003213483,0.0004604957,0.0006192331,0.000736138,0.0005783028,0.002079],"category_scores_gemma":[0.0004525869,0.0004851195,0.0005971006,0.0004665798,0.0003458844,0.0003873768,0.0007568839,0.001304569,0.002402359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003677622,"about_ca_system_score_gemma":0.000361785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007259484,"about_ca_topic_score_gemma":0.001042721,"domain_scores_codex":[0.9996212,0.00007016691,0.00003145993,0.0000807613,0.0001436033,0.0000528347],"domain_scores_gemma":[0.9998331,0.0000317488,0.00002807795,0.00004793395,0.0000203227,0.00003867344],"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":[0.0001864978,0.00003570796,0.0002312297,0.0001500473,0.00001854463,0.000173567,0.00007004799,0.00107967,0.9677685,0.004999862,0.002359961,0.02292617],"study_design_scores_gemma":[0.00002873796,0.0001041606,0.00028813,0.00001517929,0.00001409347,0.0003025535,0.00001049161,0.004097542,0.9497717,0.0005543311,0.04478965,0.0000235067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2202739,0.005396231,0.7412715,0.0005245522,0.000771223,0.0004593632,0.002610516,0.01270241,0.01599035],"genre_scores_gemma":[0.4418796,0.003931133,0.5278182,0.0003454206,0.00005851648,0.0006762524,0.004609591,0.002080608,0.01860067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002079,"threshold_uncertainty_score":0.006954968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04620175157571394,"score_gpt":0.2945796888566188,"score_spread":0.2483779372809048,"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."}}