{"id":"W4235233139","doi":"10.1002/9780470012505.tac048","title":"Compound Process","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Actuarial Science","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Poisson distribution; Compound Poisson process; Limit (mathematics); Poisson process; Process (computing); Statistical physics; Mathematics; Applied mathematics; Mathematical economics; Pure mathematics; Computer science; Physics; Mathematical analysis; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001243409,0.000544206,0.0008893823,0.001211559,0.0005397453,0.001697783,0.0009827493,0.001002866,0.03130123],"category_scores_gemma":[0.005042253,0.0001915597,0.000766589,0.001412295,0.00109675,0.003355311,0.001009888,0.001374676,0.004169832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001091185,"about_ca_system_score_gemma":0.0007531873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001528434,"about_ca_topic_score_gemma":0.0009472804,"domain_scores_codex":[0.999113,0.0001647733,0.00004870453,0.0002820866,0.0003013051,0.00009007451],"domain_scores_gemma":[0.9977893,0.0007090417,0.0003818047,0.0003505425,0.0006333372,0.0001359763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003315902,0.00001809639,0.0006699229,0.00006859107,0.00002052722,0.0001916181,0.00005660137,0.01258376,0.0008465341,0.9637508,0.004829452,0.01693088],"study_design_scores_gemma":[0.00002863476,0.0000653712,0.00101427,0.0000570885,0.00002955553,0.0007041635,0.00005760829,0.1473657,0.001488615,0.8080631,0.04109193,0.00003394451],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06104462,0.002970628,0.8075052,0.002064424,0.0009524245,0.0002458817,0.001902617,0.0005512497,0.122763],"genre_scores_gemma":[0.76597,0.004862323,0.1076362,0.000795113,0.001059611,0.0003415746,0.001679499,0.0002478102,0.1174079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03130123,"threshold_uncertainty_score":0.104713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04806466822337439,"score_gpt":0.3747067052439875,"score_spread":0.3266420370206131,"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."}}