{"id":"W2099531989","doi":"10.1073/pnas.0610468104","title":"Deterministic characterization of stochastic genetic circuits","year":2007,"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":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Bistability; Noise (video); Negative feedback; Feedback loop; Positive feedback; Stability (learning theory); Electronic circuit; Control theory (sociology); Computer science; Stochastic modelling; Master equation; Stochastic process; Statistical physics; Biological system; Mathematics; Physics; Control (management); Biology; Engineering; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004808295,0.0003239908,0.0002899922,0.0007472691,0.0003645822,0.0007486845,0.0005495572,0.0005431054,0.001577394],"category_scores_gemma":[0.005020283,0.0002631329,0.0003050341,0.0002813422,0.0008079516,0.0006685517,0.0004572483,0.0005986337,0.0001358885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008985735,"about_ca_system_score_gemma":0.0007583553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001085449,"about_ca_topic_score_gemma":0.0008043683,"domain_scores_codex":[0.9993966,0.0001112795,0.00002983363,0.0001194324,0.0002621455,0.00008079955],"domain_scores_gemma":[0.9976633,0.001314753,0.0004241221,0.0002140237,0.0002920568,0.00009182964],"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":[0.00008494106,0.00005951302,0.003480619,0.00009927245,0.00003381868,0.0002192983,0.0001309684,0.4859749,0.05871826,0.4376257,0.0003393323,0.01323333],"study_design_scores_gemma":[0.00001060094,0.00002617546,0.0006593743,0.000007486254,0.000006839708,0.00008705813,0.00001115816,0.9340207,0.006596867,0.05779343,0.0007683398,0.00001199477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2656657,0.0001977652,0.7255524,0.0002430239,0.00002450104,0.0000698933,0.00022867,0.0003031854,0.007714693],"genre_scores_gemma":[0.9770558,0.00008691406,0.02167828,0.00004123414,0.00001521556,0.0000830196,0.0001185533,0.00003729314,0.0008835996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001577394,"threshold_uncertainty_score":0.006519616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081299892289652,"score_gpt":0.2764000238048988,"score_spread":0.2555870248820022,"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."}}