{"id":"W2043897351","doi":"10.1016/j.jtbi.2004.03.011","title":"Intrinsic and external noise in an auto-regulatory genetic network","year":2004,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Negative feedback; Positive feedback; Noise (video); Physics; Messenger RNA; Fano factor; Control theory (sociology); Biological system; Statistical physics; Biology; Gene; Computer science; Genetics; Control (management); Quantum mechanics; Shot noise; Engineering; Optics","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":[0.001214964,0.000332447,0.0005534627,0.0006792303,0.0003509919,0.0009680843,0.00088957,0.0007182843,0.001159517],"category_scores_gemma":[0.007249156,0.0004065688,0.0004226215,0.0004355795,0.001418857,0.001449436,0.0006907205,0.0008622117,0.00008603059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009770859,"about_ca_system_score_gemma":0.000527052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001622273,"about_ca_topic_score_gemma":0.001725311,"domain_scores_codex":[0.9996065,0.0001563709,0.00001314875,0.00008456997,0.00008810691,0.00005134263],"domain_scores_gemma":[0.9929193,0.0057652,0.0005273748,0.0002619853,0.0002596571,0.000266541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001441248,0.00006710887,0.00420088,0.00004964856,0.00004273175,0.0002619477,0.0001294168,0.754704,0.01179645,0.2223069,0.0001880038,0.00610878],"study_design_scores_gemma":[0.000008315818,0.0000113538,0.0006777077,0.000002952773,0.00001038516,0.00002933484,0.00001209653,0.9694547,0.000718209,0.0290066,0.00006239672,0.000005940118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6773411,0.0001311926,0.3192096,0.0004224402,0.00001612149,0.00001775001,0.00007492227,0.0001517792,0.002635015],"genre_scores_gemma":[0.9908894,0.00009132043,0.007664005,0.00002198387,0.00001434105,0.00001933457,0.00002924998,0.00002620869,0.001244199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001622273,"threshold_uncertainty_score":0.007089257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004468030768103095,"score_gpt":0.2370529684190013,"score_spread":0.2325849376508982,"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."}}