{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003734988,0.0003199405,0.0007002315,0.0008548556,0.000206444,0.0002011723,0.004268119,0.0003150019,0.003749365],"category_scores_gemma":[0.004439354,0.0002172237,0.0001653473,0.002347501,0.00284489,0.0005093272,0.0003794889,0.0003107126,0.0005858288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001088372,"about_ca_system_score_gemma":0.002951737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006823204,"about_ca_topic_score_gemma":0.0003226626,"domain_scores_codex":[0.9931526,0.0000861778,0.000845252,0.001202823,0.004169393,0.0005437739],"domain_scores_gemma":[0.9967554,0.0003993319,0.0008776815,0.001306552,0.0003769331,0.000284073],"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":[0.0002262794,0.001412113,0.001933109,0.0002800355,0.00008115393,0.00006164185,0.01138659,0.002050351,0.0004423304,0.08931766,0.7738149,0.1189939],"study_design_scores_gemma":[0.0004750897,0.0001143319,0.0003493855,0.0001591382,0.00002136452,0.000007164775,0.0001498233,0.00008190147,0.0002139799,0.2020526,0.7959114,0.00046387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001558118,0.0002117618,0.002315378,0.0002183433,0.003002066,0.0005239966,0.00005962201,0.0001065433,0.9920042],"genre_scores_gemma":[0.1638555,0.0006028941,0.00767505,0.0001611495,0.002192973,0.00003619313,0.000009049371,0.0002565633,0.8252106],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1667936,"threshold_uncertainty_score":0.9998688,"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."}}