{"id":"W1988024270","doi":"10.1111/j.1742-4658.2005.05043.x","title":"Optimal observability of sustained stochastic competitive inhibition oscillations at organellar volumes","year":2005,"lang":"en","type":"article","venue":"FEBS Journal","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Western Canada Research Grid","keywords":"Observability; Randomness; Stochastic resonance; Stochastic differential equation; Ordinary differential equation; Limit (mathematics); Mathematics; Physics; Action (physics); Control theory (sociology); Mathematical analysis; Noise (video); Differential equation; Applied mathematics; Computer science; Statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002759319,0.0001238641,0.0001775427,0.00005758799,0.0001874065,0.00001877308,0.0000964574,0.0001025142,0.000210349],"category_scores_gemma":[0.0001019095,0.0001210103,0.0001692541,0.0001404386,0.000114584,0.00000725734,0.0000959747,0.0001031326,0.00001179157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001022329,"about_ca_system_score_gemma":0.0001159849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001984623,"about_ca_topic_score_gemma":0.00005543035,"domain_scores_codex":[0.9989697,0.0001034966,0.0003307786,0.0001916972,0.0001932476,0.0002110855],"domain_scores_gemma":[0.9990579,0.00001603772,0.0002137545,0.0002181278,0.0003794258,0.0001147405],"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":[0.0002379731,0.0001986948,0.02334837,0.00002401614,0.0003505199,0.000007279103,0.0002716449,0.462681,0.5065628,0.0001425997,0.005245627,0.0009294694],"study_design_scores_gemma":[0.006784165,0.002012546,0.1738793,0.0001823824,0.001140564,0.001551623,0.003473615,0.06435772,0.6936076,0.0006887169,0.05037906,0.001942735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877291,0.0005555507,0.01103681,0.0003066984,0.0000574439,0.00008289467,0.00001550657,0.000005955691,0.0002099911],"genre_scores_gemma":[0.9962577,0.00004123483,0.002376977,0.00004059919,0.0005332938,0.000001856687,0.00006912064,0.00001416193,0.0006650701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3983233,"threshold_uncertainty_score":0.4934658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008336452959750367,"score_gpt":0.2283631188006652,"score_spread":0.2200266658409149,"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."}}