{"id":"W2175201504","doi":"10.1101/003335","title":"Rapidly characterizing the fast dynamics of RNA genetic circuitry with cell-free transcription-translation (TX-TL) systems","year":2014,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Synthetic biology; RNA; Computational biology; Transcription (linguistics); Biology; Cascade; Systems biology; Gene expression; Translation (biology); Genetics; Computer science; Gene; Cell biology; Messenger RNA; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006408311,0.0005533167,0.000533925,0.0001140734,0.0001671998,0.0001502248,0.0009922844,0.0006940844,0.000009367627],"category_scores_gemma":[0.00004348853,0.0004637512,0.0002104455,0.0001689683,0.0001482934,0.00001092539,0.0001523277,0.0003840738,0.000006076073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005808972,"about_ca_system_score_gemma":0.0003064352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004845079,"about_ca_topic_score_gemma":0.000007368172,"domain_scores_codex":[0.9973392,0.0003183264,0.0006331337,0.0008609708,0.0004145018,0.0004337891],"domain_scores_gemma":[0.9967451,0.00003415169,0.0006722238,0.002054222,0.0003535738,0.000140724],"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":[0.00006889005,0.00006040009,0.0004021433,0.0007085895,0.0001689199,0.000009716404,0.00001567422,0.0003589902,0.9980437,0.0001225909,0.00002127806,0.00001911968],"study_design_scores_gemma":[0.0006466175,0.0001812113,0.003833422,0.0004486915,0.0002309295,2.846023e-7,0.00001591469,0.001166974,0.9912863,0.000003239445,0.001494454,0.0006919599],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8744389,0.00327594,0.1195301,0.0001784807,0.0009314684,0.001185088,0.0003588802,0.00006620676,0.00003486443],"genre_scores_gemma":[0.9953236,0.0004939676,0.003097386,0.00007694405,0.0005816179,0.0002562955,0.000007121904,0.0001515944,0.00001146453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1208846,"threshold_uncertainty_score":0.9997814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008734623530069183,"score_gpt":0.1833854773781338,"score_spread":0.1746508538480647,"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."}}