{"id":"W2595281090","doi":"10.3389/fpls.2017.00293","title":"Development of SyneBrick Vectors As a Synthetic Biology Platform for Gene Expression in Synechococcus elongatus PCC 7942","year":2017,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Korea Carbon Capture and Sequestration R and D Center; Petroleum Technology Research Centre; National Research Foundation of Korea; Ministry of Oceans and Fisheries; Ministry of Science, ICT and Future Planning; National Research Foundation","keywords":"Lac repressor; Inducer; Gene expression; Synthetic biology; Gene; lac operon; Biology; TetR; Metabolic engineering; Reporter gene; Expression vector; Promoter; Regulation of gene expression; Genetics; Repressor; Computational biology; Molecular biology","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":[0.0006610471,0.0001488533,0.0002319323,0.0001787359,0.0002416097,0.00002886489,0.0008428388,0.0001368,0.000002106181],"category_scores_gemma":[0.0005612886,0.0001291773,0.00003537018,0.0001075062,0.0003034157,0.00001836137,0.0002388212,0.00007261222,0.000001031557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005583473,"about_ca_system_score_gemma":0.000508323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002632294,"about_ca_topic_score_gemma":0.0000476405,"domain_scores_codex":[0.9986064,0.00001032043,0.0002922901,0.000501858,0.0001494112,0.0004396634],"domain_scores_gemma":[0.9991902,0.00001463169,0.0002080394,0.0004446604,0.00005338038,0.00008915505],"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":[0.0001274043,0.00005302144,0.002015762,0.00002873975,0.000004929358,0.000003661975,0.0001749357,0.00000812263,0.9915416,0.0001001239,0.00003644616,0.005905296],"study_design_scores_gemma":[0.0004589264,0.0001144006,0.000880863,0.0001163609,0.000003484916,0.00001232629,0.0001724092,0.000373801,0.9933872,0.0009293556,0.003372667,0.000178209],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680964,0.0001875855,0.03028984,0.00001555397,0.000698987,0.0003414909,0.0000534945,0.000005094365,0.0003115147],"genre_scores_gemma":[0.9460524,0.000118786,0.05363738,0.00002301906,0.00001943557,0.00007698193,0.00002652041,0.000009150689,0.00003634396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02334754,"threshold_uncertainty_score":0.5267698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408136899173996,"score_gpt":0.2663314159488528,"score_spread":0.2522500469571128,"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."}}