{"id":"W2096705138","doi":"10.1073/pnas.0803850105","title":"Analytical distributions for stochastic gene expression","year":2008,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":935,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Master equation; Messenger RNA; Statistical physics; Translation (biology); Budding yeast; Gene expression; Gene; Stochastic modelling; Variance (accounting); Biology; Expression (computer science); Physics; Biological system; Saccharomyces cerevisiae; Mathematics; Genetics; Computer science; Statistics; Quantum mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.000360322,0.00005901017,0.00009139021,0.00004701464,0.0002211401,0.000004167728,0.00036341,0.00006866654,0.000003088619],"category_scores_gemma":[0.0003370071,0.00004056132,0.0001163551,0.0002929333,0.0005755227,0.000008260764,0.00009492433,0.00003794726,2.354547e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009659525,"about_ca_system_score_gemma":0.00003288459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.518266e-7,"about_ca_topic_score_gemma":1.380027e-8,"domain_scores_codex":[0.9991293,0.0000031221,0.0001799697,0.0001862973,0.0003928238,0.0001084665],"domain_scores_gemma":[0.9995298,0.00002188156,0.0001693242,0.000008679344,0.0002404689,0.00002989517],"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":[0.00001374757,0.00002764387,0.002785834,0.000007855472,0.00001876731,8.321148e-10,0.00000923156,0.001732317,0.9899879,0.002779451,0.002608587,0.00002866863],"study_design_scores_gemma":[0.0001295977,0.00004601026,0.01686484,0.00001290356,0.00002224366,0.000009133109,0.00001606442,0.003939499,0.9747242,0.003889482,0.0002842571,0.00006171535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984633,0.0001524859,0.0005239619,0.0004907168,0.00000787907,0.0001059435,0.00003066811,0.000002458674,0.0002225879],"genre_scores_gemma":[0.9971334,0.0000136504,0.002530751,0.00004265125,0.0001129301,0.00001122043,0.000001667972,0.000002538388,0.0001511649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01526364,"threshold_uncertainty_score":0.2120537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03683146789668673,"score_gpt":0.3022625359857907,"score_spread":0.265431068089104,"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."}}