{"id":"W2026969031","doi":"10.1080/03461238.2014.977817","title":"Cramér–Von Mises distance estimation for some positive infinitely divisible parametric families with actuarial applications","year":2014,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Actua; Université Laval","funders":"","keywords":"Estimator; Mathematics; Poisson distribution; Compound Poisson distribution; Applied mathematics; Inference; Point process; Exponential family; Parametric statistics; Range (aeronautics); Econometrics; Statistics; Poisson regression; Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.0008098175,0.0002906452,0.0005742118,0.000520845,0.0008126762,0.0004945868,0.0003365995,0.0001548525,0.00004367071],"category_scores_gemma":[0.0005746566,0.0002829747,0.0002038865,0.0005079858,0.0001271663,0.0008813761,0.00003582014,0.0003748258,0.00006329111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002319394,"about_ca_system_score_gemma":0.00008551285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001844187,"about_ca_topic_score_gemma":0.00003192655,"domain_scores_codex":[0.9980094,0.00003504689,0.0008330531,0.0004770595,0.0001275367,0.0005179188],"domain_scores_gemma":[0.9982159,0.0003899882,0.0007355312,0.000312189,0.0001404476,0.0002059648],"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":[0.002644013,0.000594544,0.0596293,0.0001613114,0.000307087,0.000005672311,0.002040568,0.01299988,0.00005979737,0.6977021,0.001033839,0.2228218],"study_design_scores_gemma":[0.008355347,0.002106116,0.06972554,0.0002950612,0.0001607923,0.00006132453,0.0002950833,0.1581087,0.000398509,0.7163029,0.04262782,0.001562836],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1368129,0.0003396119,0.8591844,0.0003525264,0.0007052268,0.0007012715,0.000300477,0.00004906061,0.001554546],"genre_scores_gemma":[0.9841105,0.0001959749,0.01380165,0.0001312817,0.00141344,0.0001092988,0.00008182228,0.00004483146,0.0001111763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8472977,"threshold_uncertainty_score":0.9999623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02150607933433727,"score_gpt":0.2393480664101031,"score_spread":0.2178419870757659,"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."}}