{"id":"W2153935608","doi":"10.1139/cjc-2012-0409","title":"Kinetics of gene expression in bacteria — From models to measurements, and back again","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tekes; Academy of Finland","keywords":"Stochastic modelling; Gene expression; Computational biology; Stochastic dynamics; Stochastic process; Transcription (linguistics); Gene; Expression (computer science); Biological system; Statistical physics; Chemistry; Computer science; Biology; Genetics; Physics; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001477877,0.0001021587,0.000182169,0.00004523634,0.00001229797,0.00000948524,0.0001504656,0.0001203983,0.00009830842],"category_scores_gemma":[0.00003077716,0.0001038928,0.00005759791,0.0000694097,0.0000337175,0.000006655279,0.00002065686,0.00006472558,8.843068e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004274256,"about_ca_system_score_gemma":0.0001218613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000160884,"about_ca_topic_score_gemma":0.0005029889,"domain_scores_codex":[0.9992517,0.00002792379,0.000290705,0.0001083346,0.0001038374,0.0002175467],"domain_scores_gemma":[0.9990034,0.000004198535,0.0001446652,0.0001921509,0.0001015286,0.0005540171],"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":[0.00001689859,0.00001129048,0.01793137,0.00001057579,0.00003695021,0.000002035963,0.00009767018,0.001653117,0.9792086,6.222818e-8,0.0008000437,0.0002313287],"study_design_scores_gemma":[0.000258923,0.00002031259,0.005300118,0.00005392956,0.00001972163,0.00001290129,0.00005902257,0.000016692,0.9922789,0.00001454677,0.001864703,0.0001001836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953586,0.003589129,0.0006274296,0.00004020422,0.00005346136,0.00002961968,0.00002008522,3.258487e-7,0.0002811067],"genre_scores_gemma":[0.9952185,0.00003872689,0.004321691,0.00005175106,0.0002608267,7.279559e-7,0.00002001199,0.00001282409,0.0000749371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01307029,"threshold_uncertainty_score":0.4236626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02195808035415594,"score_gpt":0.2123551099825887,"score_spread":0.1903970296284328,"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."}}