{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005226601,0.0001391129,0.000172682,0.00003636271,0.00006189141,0.00001123768,0.0003734246,0.0001838435,0.000008273714],"category_scores_gemma":[0.0002524563,0.00009311308,0.00008116315,0.0001368779,0.0002447362,0.00000120524,0.00009844973,0.00008533541,0.00001587114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000106087,"about_ca_system_score_gemma":0.0001390214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002595634,"about_ca_topic_score_gemma":0.00001112792,"domain_scores_codex":[0.998919,0.0001324388,0.0002260596,0.0002922275,0.0001176234,0.0003126414],"domain_scores_gemma":[0.9990322,0.00005941805,0.00007409037,0.0003940756,0.0003431199,0.00009706702],"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":[0.0001757956,0.00005527051,0.00009929816,0.00002514818,0.00005533942,2.696561e-7,0.00006817571,0.0004330919,0.9910416,0.0009631329,0.0009309609,0.006151937],"study_design_scores_gemma":[0.0007094699,0.0007585513,0.0001522174,0.00001615884,0.00004373443,0.00001942509,0.0001492029,0.0008553596,0.867483,0.0001682031,0.1294937,0.0001510081],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824866,0.004393134,0.009622574,0.0009384712,0.0004189975,0.000573736,0.0001786597,0.00001124084,0.001376569],"genre_scores_gemma":[0.9986855,0.0002041866,0.0001831589,0.0001090558,0.0001665077,0.00006265894,0.00008366514,0.00002014511,0.0004851325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1285627,"threshold_uncertainty_score":0.3797041,"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."}}