{"id":"W2018111665","doi":"10.1063/1.4771660","title":"Variable time-stepping in the pathwise numerical solution of the chemical Langevin equation","year":2012,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Langevin equation; Stochastic differential equation; Randomness; Variable (mathematics); Applied mathematics; Mathematics; Statistical physics; Differential equation; Computer science; Mathematical optimization; Mathematical analysis; Physics","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":[0.0008269155,0.00009126221,0.0001595353,0.000009062879,0.00003197793,0.000005674483,0.000398218,0.00008064621,0.000006395734],"category_scores_gemma":[0.0001098327,0.00004656589,0.000153023,0.0002239356,0.00008556827,0.000009315162,0.00009563184,0.0002058948,0.00000259365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002814969,"about_ca_system_score_gemma":0.00004422505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004747791,"about_ca_topic_score_gemma":1.055637e-7,"domain_scores_codex":[0.9989887,0.0002055647,0.0002932786,0.00006078771,0.0002708446,0.0001807907],"domain_scores_gemma":[0.9992275,0.00007453207,0.0003028584,0.0002779391,0.00008200332,0.0000352118],"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":[0.00004250776,0.0001050764,0.0005933822,0.000006307884,0.00004437635,6.899484e-8,0.0001571727,0.0007661081,0.9965612,0.00009030769,0.001111416,0.0005221313],"study_design_scores_gemma":[0.0003025063,0.00003275141,0.0005132873,0.00003289673,0.000182409,0.00002610879,0.00005888072,0.002867344,0.9938439,0.001304465,0.0007406652,0.00009476251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929945,0.000629629,0.005715345,0.0003280101,0.00005412467,0.00007064603,0.000001634861,0.000001318167,0.00020478],"genre_scores_gemma":[0.9986355,0.00001450516,0.0003847493,0.0001479094,0.0007862012,0.00000142366,0.00000650962,0.000008956736,0.00001428719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005640945,"threshold_uncertainty_score":0.1898902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287984413548012,"score_gpt":0.2231653260013429,"score_spread":0.2102854818658628,"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."}}