{"id":"W4242027360","doi":"10.1002/9780470012505.tac047","title":"Compound Poisson Frequency Models","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 distribution; Zero-inflated model; Compound Poisson process; Distribution (mathematics); Poisson regression; Frequency distribution; Mathematics; Statistical physics; Poisson binomial distribution; Econometrics; Statistics; Poisson process; Physics; Mathematical analysis; Sociology; Demography","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":[0.003262623,0.0008140757,0.001382702,0.001811833,0.0007198976,0.002298654,0.002975819,0.002228778,0.01516105],"category_scores_gemma":[0.01280676,0.0005051426,0.001400018,0.002072032,0.001290811,0.003636325,0.001102323,0.001879818,0.002769037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001353971,"about_ca_system_score_gemma":0.0009493876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004315102,"about_ca_topic_score_gemma":0.001980443,"domain_scores_codex":[0.9979246,0.0006003831,0.000104581,0.000499169,0.0006251522,0.0002461304],"domain_scores_gemma":[0.9915342,0.005406003,0.001007788,0.0007789875,0.001048532,0.0002244802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006322822,0.00005428421,0.002693414,0.0001094915,0.00005916562,0.000367696,0.0001817849,0.1805457,0.0005039376,0.7880401,0.00636125,0.02101993],"study_design_scores_gemma":[0.00002498715,0.00003788541,0.0005858721,0.00003586994,0.000036389,0.0004382563,0.00004398793,0.6927339,0.0002797102,0.2976361,0.00811664,0.0000303465],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03811954,0.00149937,0.9314104,0.001407886,0.0004744232,0.0001573222,0.001559543,0.0004460518,0.02492541],"genre_scores_gemma":[0.7985966,0.004923742,0.1149013,0.0006041627,0.001401207,0.0006137901,0.001905894,0.0002186289,0.07683466],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01516105,"threshold_uncertainty_score":0.05071872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06479524168276918,"score_gpt":0.3480366952406891,"score_spread":0.2832414535579199,"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."}}