{"id":"W2109240590","doi":"10.1017/asb.2013.7","title":"SOME DISTRIBUTIONAL PROPERTIES OF A CLASS OF COUNTING DISTRIBUTIONS WITH CLAIMS ANALYSIS APPLICATIONS","year":2013,"lang":"en","type":"article","venue":"Astin Bulletin","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Poisson distribution; Negative binomial distribution; Count data; Mathematics; Class (philosophy); Geometric distribution; Binomial (polynomial); Aggregate (composite); Applied mathematics; Zero-inflated model; Value (mathematics); Econometrics; Statistics; Mathematical economics; Probability distribution; Computer science; Poisson regression","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":[],"consensus_categories":[],"category_scores_codex":[0.001080856,0.0001222692,0.0003919904,0.0001628173,0.0001916008,0.00006752173,0.0005164698,0.00006924089,0.0007352819],"category_scores_gemma":[0.0006058735,0.00007595331,0.0001765313,0.001347888,0.0006097097,0.0001367628,0.0001252165,0.0001220522,0.0001891673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003329394,"about_ca_system_score_gemma":0.0001099521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003529887,"about_ca_topic_score_gemma":0.00003118901,"domain_scores_codex":[0.9975907,0.0001222065,0.0007924964,0.000366178,0.0009099659,0.000218471],"domain_scores_gemma":[0.9972345,0.0005091118,0.000443672,0.0005671516,0.001166158,0.00007935643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002586764,0.002245758,0.5214579,0.0001948686,0.001467683,0.000001582614,0.0009231312,0.02947887,0.02223201,0.3861428,0.01903613,0.01656065],"study_design_scores_gemma":[0.002084186,0.0004980264,0.5512134,0.0002831783,0.001510252,0.00002040856,0.002752619,0.04439943,0.03753531,0.2488788,0.1094337,0.001390732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7479823,0.0002979178,0.2451198,0.005106349,0.00002265584,0.000572142,0.0004980829,0.00003231296,0.0003683666],"genre_scores_gemma":[0.9967827,0.000007051566,0.002563569,0.00002691593,0.0000365711,0.0001841051,0.00005645581,0.000004574266,0.0003380184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2488004,"threshold_uncertainty_score":0.8050821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04776543324450762,"score_gpt":0.2839904344763984,"score_spread":0.2362250012318908,"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."}}