{"id":"W2468401125","doi":"10.1038/srep27697","title":"Improvement of the reverse tetracycline transactivator by single amino acid substitutions that reduce leaky target gene expression to undetectable levels","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transactivation; Inducer; Gene; Gene expression; Biology; Regulation of gene expression; Transcription (linguistics); Activator (genetics); Genetics; Transcription factor; Cell biology; Computational biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003233943,0.0001277519,0.000114307,0.00003806571,0.0001544089,0.00002735221,0.0001695219,0.00007649615,0.00009012621],"category_scores_gemma":[0.0001284275,0.00008032023,0.00009732377,0.0001509566,0.0001233141,0.000009548132,0.00007663682,0.00004139447,0.000002340276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003037609,"about_ca_system_score_gemma":0.00009082843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007505315,"about_ca_topic_score_gemma":0.000007257117,"domain_scores_codex":[0.9986885,0.00001584568,0.0002852198,0.0005066615,0.0002594552,0.0002442775],"domain_scores_gemma":[0.9988464,0.00000603638,0.0001236614,0.0008224623,0.00007985246,0.0001215796],"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":[0.000009345542,0.00006113272,0.0001891908,0.00000956095,0.00001048057,0.000002354356,0.00003810368,0.0001474336,0.9911233,3.403835e-7,0.006909351,0.001499412],"study_design_scores_gemma":[0.0001344594,0.00005893645,0.0002476516,0.00004212764,0.000009443575,0.00001850017,0.00003242867,0.000002147775,0.9583707,0.00004252934,0.04091986,0.0001211773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.920482,0.000249791,0.07661128,0.0001811964,0.002017313,0.0002827892,0.00004947682,0.00001040558,0.0001157707],"genre_scores_gemma":[0.9925168,0.000005705966,0.001809237,0.00002937671,0.0000498452,0.00002110862,0.00001648676,0.00001392667,0.005537567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07480204,"threshold_uncertainty_score":0.3275364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413873292588399,"score_gpt":0.2621867563522327,"score_spread":0.2480480234263487,"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."}}