{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004620024,0.0004640566,0.0009545778,0.00115475,0.0002760176,0.0002660304,0.005011058,0.0004883953,0.003289255],"category_scores_gemma":[0.002885927,0.0003313582,0.0002790852,0.002372469,0.002827049,0.001045885,0.0005927712,0.0004464888,0.000544393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002374747,"about_ca_system_score_gemma":0.002894789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004208848,"about_ca_topic_score_gemma":0.0008165646,"domain_scores_codex":[0.991536,0.000158885,0.001192557,0.001588544,0.00475592,0.0007681239],"domain_scores_gemma":[0.9955892,0.0005249308,0.001091991,0.001968842,0.0004155957,0.0004094591],"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":[0.0001151991,0.0009895933,0.0004756527,0.000112275,0.00007812162,0.00006423489,0.006391009,0.005060815,0.001262512,0.5269937,0.4112236,0.04723328],"study_design_scores_gemma":[0.0004960869,0.0001291437,0.0001700955,0.00015758,0.00002747555,0.000007979136,0.00007992503,0.0004962965,0.00009344217,0.7766151,0.2211813,0.000545536],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009335433,0.0005610785,0.01286747,0.0003345282,0.003712943,0.0006469228,0.0001282989,0.0001456796,0.9806696],"genre_scores_gemma":[0.2146026,0.002142343,0.04824009,0.0002620708,0.002781877,0.00004960153,0.00002235175,0.0004386193,0.7314604],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2496214,"threshold_uncertainty_score":0.9999139,"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."}}