{"id":"W2625601918","doi":"10.1007/s11538-017-0298-x","title":"Parametric Sensitivity Analysis of Oscillatory Delay Systems with an Application to Gene Regulation","year":2017,"lang":"en","type":"article","venue":"Bulletin of Mathematical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sensitivity (control systems); Parametric statistics; Delay differential equation; Maxima and minima; Control theory (sociology); Mathematics; Differential equation; Amplitude; Set (abstract data type); Applied mathematics; Nonlinear system; Biological system; Mathematical analysis; Physics; Computer science; Biology; Statistics; Engineering","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":[0.0004796674,0.00009818219,0.0003089352,0.0001100388,0.00005872439,0.000008349953,0.0001540424,0.0001562681,0.0000201898],"category_scores_gemma":[0.0002644844,0.00007967103,0.00006944047,0.0001068031,0.0001902179,9.325695e-7,0.00007434973,0.00003121364,0.00001012682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008358245,"about_ca_system_score_gemma":0.00002018007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006680936,"about_ca_topic_score_gemma":0.00003439695,"domain_scores_codex":[0.9991274,0.0001085937,0.0002780647,0.0002701431,0.00009240677,0.0001233702],"domain_scores_gemma":[0.9986517,0.00004427904,0.0002890305,0.0007551293,0.0001841713,0.00007568558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006361977,0.0007513054,0.03626561,0.0002311188,0.00153428,0.000002042516,0.0000859657,0.05930115,0.8503926,0.04719098,0.0005186282,0.003090102],"study_design_scores_gemma":[0.002062736,0.004714283,0.4324217,0.00008158368,0.002038495,0.00008980637,0.0002037857,0.4586866,0.08073962,0.002476176,0.01524118,0.001244129],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7146972,0.0000379426,0.2844256,0.00009722554,0.00001543096,0.0001824544,0.00002597645,0.000004883502,0.0005132798],"genre_scores_gemma":[0.9903311,0.000009790606,0.009353989,0.00003391563,0.00002816195,0.00001570344,0.000108192,0.000008100741,0.0001110794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.769653,"threshold_uncertainty_score":0.324889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009368483276400651,"score_gpt":0.2658785149438985,"score_spread":0.2565100316674978,"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."}}