{"id":"W4313024233","doi":"10.1007/978-3-031-10082-6_2","title":"Systems with Events Generated by Poisson or by Binomial Processes","year":2022,"lang":"en","type":"book-chapter","venue":"CMS/CAIMS books in mathematics","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia; University of Saskatchewan","funders":"","keywords":"Poisson distribution; Queue; Binomial (polynomial); Poisson process; Negative binomial distribution; Computer science; Binomial distribution; Mathematics; Statistics; Computer network","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000864509,0.0009006979,0.001281314,0.0004270959,0.0002431025,0.0003939954,0.00265519,0.0004643356,0.0001012584],"category_scores_gemma":[0.00009549625,0.0007329886,0.00009982348,0.0003106755,0.00008809072,0.0004164808,0.0007282655,0.0008359493,0.00007014842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007098953,"about_ca_system_score_gemma":0.0007957389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004106968,"about_ca_topic_score_gemma":0.00002436692,"domain_scores_codex":[0.9950842,0.00008788868,0.001441618,0.001183131,0.001522201,0.0006809935],"domain_scores_gemma":[0.9963965,0.0003571253,0.001169266,0.001610315,0.0002744552,0.0001923405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004643295,0.001998711,0.00009342158,0.03249909,0.002076965,0.002269386,0.01951515,0.01782382,0.001795762,0.450057,0.4659147,0.005491695],"study_design_scores_gemma":[0.004379463,0.001387344,3.671248e-7,0.01193567,0.0003046266,0.001430577,0.0004237963,0.2564416,0.00100635,0.02579609,0.6909685,0.005925663],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.001570221,0.01605084,0.4901101,0.0002766806,0.004021448,0.006789726,0.0009642374,0.001843477,0.4783733],"genre_scores_gemma":[0.006273464,0.000532992,0.03167742,0.0001854917,0.0003321892,0.0006293865,0.0002201081,0.0004794038,0.9596695],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4812962,"threshold_uncertainty_score":0.9995121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03457840144293771,"score_gpt":0.2419519422721264,"score_spread":0.2073735408291887,"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."}}