{"id":"W4366262960","doi":"10.1016/j.nbt.2023.04.005","title":"ReViTA: A novel in vitro transcription system to study gene regulation","year":2023,"lang":"en","type":"article","venue":"New Biotechnology","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Agencia Estatal de Investigación; Generalitat de Catalunya; Agència de Gestió d'Ajuts Universitaris i de Recerca; Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España; European Regional Development Fund; Federación Española de Enfermedades Raras; European Social Fund; Centres de Recerca de Catalunya","keywords":"Repressor lexA; E-box; General transcription factor; Transcription (linguistics); Promoter; Biology; RNA polymerase II; Repressor; Gene; TAF2; Response element; Molecular biology; Gene expression; Transcription factor II D; Transcription factor; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001881696,0.002167638,0.001814389,0.001126989,0.0004371358,0.001262561,0.00144827,0.001076941,0.002020341],"category_scores_gemma":[0.000974572,0.001181144,0.001120114,0.0005275744,0.0007081004,0.0008347752,0.0008578603,0.003339728,0.002734916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006435172,"about_ca_system_score_gemma":0.0005182701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002946628,"about_ca_topic_score_gemma":0.0006983598,"domain_scores_codex":[0.9971104,0.0008115619,0.0002449196,0.0009092707,0.0007120566,0.0002119655],"domain_scores_gemma":[0.9988507,0.0004328173,0.000261292,0.0002082663,0.0001617538,0.0000852978],"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":[0.00003575909,0.00002763006,0.00006187107,0.0001302715,0.000008933014,0.00002544568,0.0000227185,0.00007457882,0.9969411,0.000175818,0.0001148044,0.002380961],"study_design_scores_gemma":[0.000008480848,0.0001472822,0.0002356154,0.00001422559,0.00002079966,0.0002359073,0.00001244028,0.0007878705,0.9909225,0.00007623896,0.007515197,0.00002342066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1086722,0.007237993,0.8683692,0.0004799833,0.0007821794,0.0006364934,0.003075914,0.006984652,0.003761317],"genre_scores_gemma":[0.2483885,0.006720299,0.715626,0.000551521,0.0003161524,0.001692285,0.00998778,0.001552334,0.01516523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002167638,"threshold_uncertainty_score":0.009951413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461537775756873,"score_gpt":0.2413534434775688,"score_spread":0.2267380657200001,"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."}}