{"id":"W4200579765","doi":"10.3791/62073","title":"DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation","year":2021,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computational biology; Nucleic acid; Oligonucleotide; T7 RNA polymerase; Biology; Synthetic biology; Polymerase; DNA; RNA polymerase II; Transcription (linguistics); Cell biology; Gene; Genetics; Gene expression; Promoter; Bacteriophage","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":[0.0001626188,0.0002520154,0.0001929396,0.0001176645,0.0001515096,0.0003951455,0.0004104853,0.000335547,0.001518019],"category_scores_gemma":[0.0003670721,0.0002121263,0.0002083987,0.0001358779,0.00034847,0.0003246008,0.0003066135,0.0006603295,0.0007947607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005234001,"about_ca_system_score_gemma":0.0003074768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000352156,"about_ca_topic_score_gemma":0.0006899839,"domain_scores_codex":[0.9998325,0.00003024184,0.00000948903,0.00004190375,0.00007183962,0.00001388649],"domain_scores_gemma":[0.9998995,0.00004009613,0.0000162399,0.00001783308,0.00001382219,0.00001251981],"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":[0.00003100175,0.00002216077,0.00007225778,0.0000901765,0.000006006583,0.00005481424,0.00003792699,0.003119707,0.9696466,0.01397141,0.0003098007,0.01263815],"study_design_scores_gemma":[0.00001455195,0.00008877497,0.00008314209,0.00001006684,0.000006705673,0.0000838527,0.00000795711,0.01946434,0.9574308,0.001892863,0.0209053,0.00001159194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3003184,0.00606522,0.6628724,0.001124964,0.0008785007,0.0001820645,0.0004169127,0.003374527,0.02476696],"genre_scores_gemma":[0.7752365,0.002800318,0.208032,0.0003213027,0.00008081065,0.0002263537,0.0004323773,0.0001751269,0.01269525],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001518019,"threshold_uncertainty_score":0.005078256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810695744107984,"score_gpt":0.3979388806548986,"score_spread":0.3798319232138188,"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."}}