{"id":"W1909635566","doi":"10.1002/9780470012505.tam024","title":"Mixtures of Exponential Distributions","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Actuarial Science","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Exponential function; Mathematics; Natural exponential family; Statistics; Statistical physics; Applied mathematics; Environmental science; Physics; Mathematical analysis","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":[0.002668581,0.0002520746,0.0006629513,0.0006745982,0.0001545897,0.00007268248,0.00293243,0.0003026096,0.003384797],"category_scores_gemma":[0.005577115,0.0001750378,0.0002581473,0.001804549,0.003184106,0.0003125128,0.0004654853,0.000228242,0.0001128855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007722937,"about_ca_system_score_gemma":0.001851869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00138948,"about_ca_topic_score_gemma":0.0002418814,"domain_scores_codex":[0.9946662,0.0001073802,0.0009580489,0.0008282975,0.003023446,0.0004166841],"domain_scores_gemma":[0.9968302,0.0004152193,0.001009075,0.001201455,0.0003393996,0.0002046812],"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":[0.0002451412,0.001607174,0.001042406,0.0001536901,0.0001045433,0.00001681533,0.00419066,0.0006045838,0.01010571,0.2204835,0.6876214,0.07382444],"study_design_scores_gemma":[0.0008281624,0.0002312371,0.001620881,0.000248248,0.00007190576,0.00000507283,0.0001085811,0.00005164023,0.006626755,0.2050757,0.7845389,0.0005930086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003188745,0.0004136685,0.02280832,0.0002117345,0.004010652,0.0005251892,0.0006353969,0.00006414509,0.9681422],"genre_scores_gemma":[0.6284919,0.001438453,0.02009046,0.00004628378,0.002473053,0.00003882743,0.00005486953,0.0001999887,0.3471661],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6253032,"threshold_uncertainty_score":0.9995286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03661062941597473,"score_gpt":0.3462752914442548,"score_spread":0.3096646620282801,"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."}}