{"id":"W2033872945","doi":"10.1021/sb400142b","title":"Universal Genetic Assay for Engineering Extracellular Protein Expression","year":2013,"lang":"en","type":"article","venue":"ACS Synthetic Biology","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Great Lakes Bioenergy Research Center; National Institute of Food and Agriculture; Petroleum Technology Research Centre; U.S. Department of Energy","keywords":"Secretion; Synthetic biology; Escherichia coli; Secretory protein; Protein engineering; Metabolic engineering; Biology; Extracellular; Fusion protein; Computational biology; Green fluorescent protein; Recombinant DNA; High-throughput screening; Directed evolution; Secretory pathway; Cell biology; Biochemistry; Cell; Gene; Enzyme; Mutant","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":[0.001438935,0.001630158,0.001091677,0.001263065,0.0004509378,0.0007207333,0.001099398,0.0009049368,0.001928037],"category_scores_gemma":[0.001290782,0.0005840301,0.0006281661,0.001284524,0.0005917526,0.0006875972,0.001246405,0.001572815,0.001838929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006589358,"about_ca_system_score_gemma":0.0007644737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003657605,"about_ca_topic_score_gemma":0.000684874,"domain_scores_codex":[0.9978004,0.0004789263,0.000263946,0.0005057426,0.0007591815,0.0001916676],"domain_scores_gemma":[0.9987488,0.0003386759,0.0001766481,0.0003792914,0.0002111238,0.0001455098],"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":[0.00002006195,0.00002741535,0.00008240129,0.00007238904,0.000007017207,0.00002563798,0.00001601382,0.00005799707,0.9969247,0.0003296712,0.0001284172,0.002308185],"study_design_scores_gemma":[0.00000672665,0.0001004628,0.0002673909,0.00001286528,0.00001536545,0.0001596344,0.000008261022,0.0005899905,0.9949793,0.0001091351,0.003743982,0.000006769084],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1795863,0.002968316,0.8025461,0.0002842002,0.0002203577,0.0009106747,0.003398946,0.003987569,0.006097537],"genre_scores_gemma":[0.4236792,0.005284018,0.5444711,0.0003132106,0.00005101537,0.002082492,0.01224212,0.0008995471,0.01097718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001928037,"threshold_uncertainty_score":0.007609904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005753903352248145,"score_gpt":0.195402883787181,"score_spread":0.1896489804349329,"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."}}