{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003353783,0.000830445,0.001072362,0.002157697,0.0006896615,0.003570112,0.001453601,0.001831699,0.01043842],"category_scores_gemma":[0.0190873,0.0007708663,0.001257607,0.002189471,0.002114553,0.005851098,0.002118337,0.002280209,0.002135477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008346153,"about_ca_system_score_gemma":0.0003973858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00101478,"about_ca_topic_score_gemma":0.0008038538,"domain_scores_codex":[0.9976438,0.000794824,0.0001187894,0.0005922851,0.0006599813,0.0001904148],"domain_scores_gemma":[0.9909462,0.005811979,0.0007285291,0.001001419,0.00124875,0.0002631786],"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":[0.0001792735,0.00004847067,0.002468454,0.0001545638,0.00007929529,0.0003262697,0.0002194394,0.03497538,0.002251394,0.9175313,0.003547565,0.0382186],"study_design_scores_gemma":[0.00004422361,0.00007442177,0.00190135,0.000137758,0.00006914152,0.001165474,0.0001298838,0.4082546,0.002085939,0.5678468,0.01821134,0.00007919942],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0480626,0.002167909,0.9222339,0.0009970996,0.0003653862,0.00006942569,0.0003736386,0.0004452889,0.02528473],"genre_scores_gemma":[0.8423874,0.00293526,0.1085306,0.0007131889,0.001006514,0.0001786265,0.0006625996,0.0002684669,0.04331737],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01043842,"threshold_uncertainty_score":0.03491998,"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."}}