{"id":"W2751877347","doi":"10.1016/b978-0-08-101095-2.00008-4","title":"Modeling and Control of Stochastic Processes","year":2017,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Noise (video); Stochastic process; Continuous-time stochastic process; Stochastic control; Stochastic modelling; Computer science; Variable (mathematics); Process (computing); Control variable; Control (management); Mathematics; Control theory (sociology); Mathematical optimization; Optimal control; Statistics; Artificial intelligence; Mathematical analysis; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002494547,0.0002427959,0.0004865127,0.0001414452,0.0001307049,0.00004768806,0.0007661845,0.0002981201,0.000002140168],"category_scores_gemma":[0.0000810795,0.0002175488,0.00006296646,0.000004238942,0.0001497108,0.00007592712,0.00005853333,0.0002407181,0.00001055057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001555317,"about_ca_system_score_gemma":0.0001282689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.995986e-7,"about_ca_topic_score_gemma":0.00001092599,"domain_scores_codex":[0.9988332,0.00001120246,0.0003176241,0.0004008359,0.0002606954,0.0001764746],"domain_scores_gemma":[0.9985149,0.00004172832,0.0003163154,0.0008431091,0.0002293315,0.00005459577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001049654,0.000006379248,0.000002762688,0.0004898712,0.0001526909,0.00001446767,0.0002713616,0.0000492566,0.0004359029,0.04330984,0.000005224861,0.9552518],"study_design_scores_gemma":[0.007748945,0.001139182,0.00001064447,0.0190954,0.001383576,0.000695703,0.00004859606,0.1169869,0.003979815,0.5777997,0.266045,0.005066529],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00003113225,0.005035108,0.1649287,0.00007613368,0.0003427411,0.0006076422,0.000008210004,0.0001535733,0.8288168],"genre_scores_gemma":[0.5238142,0.00002386277,0.0004821497,0.00005282507,0.00007885831,0.00002146655,6.705636e-7,0.0000244293,0.4755015],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9501852,"threshold_uncertainty_score":0.8871381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02976238571595485,"score_gpt":0.2384008625839631,"score_spread":0.2086384768680082,"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."}}