{"id":"W1046806","doi":"10.1007/978-3-642-19621-8_5","title":"Stochastic Gene Expression and the Processing and Propagation of Noisy Signals in Genetic Networks","year":2011,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Inference; Bayes' theorem; Fidelity; Population; Expression (computer science); Computer science; Noise (video); Gene; Biology; Computational biology; Artificial intelligence; Genetics; Bayesian probability","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":[0.0002033607,0.0003377685,0.0005201628,0.0001337319,0.00005646103,0.00005482005,0.0002423798,0.0004645826,0.00002334454],"category_scores_gemma":[0.00001091684,0.0002372863,0.0000769946,0.00004947812,0.0002904579,0.00001438756,0.0002565093,0.0002104514,0.000001893056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008079608,"about_ca_system_score_gemma":0.00008251567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001565732,"about_ca_topic_score_gemma":0.000005145651,"domain_scores_codex":[0.9982735,0.0001292016,0.0006860044,0.0005315241,0.0001814973,0.0001982747],"domain_scores_gemma":[0.9988583,0.00003382112,0.000550363,0.0004134057,0.00006334025,0.00008078027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008581247,0.0005460505,0.01500951,0.01107286,0.00377249,0.0001489332,0.004859762,0.3626846,0.2661286,0.03597237,0.004331245,0.2868923],"study_design_scores_gemma":[0.01231216,0.0044351,0.007905719,0.04976097,0.004633316,0.001295097,0.00150172,0.3841834,0.406091,0.05323237,0.06072257,0.01392658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2057527,0.591027,0.161803,0.0000915582,0.0005870215,0.005883564,0.00008715112,0.0000946709,0.03467342],"genre_scores_gemma":[0.9793805,0.005035922,0.0001653255,0.00002070338,0.0002262143,0.00005803518,0.0001212077,0.00006477177,0.01492727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7736279,"threshold_uncertainty_score":0.9676253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190453005018998,"score_gpt":0.2118040222830449,"score_spread":0.1927587217811451,"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."}}