{"id":"W4242131854","doi":"10.1002/9780470012505.tac058","title":"Convolutions of Distributions","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":"Mathematics; Environmental science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001767423,0.0005476995,0.0008515514,0.001329485,0.0005985792,0.002580773,0.000621748,0.001016692,0.005776557],"category_scores_gemma":[0.009981826,0.000357939,0.001179438,0.001111636,0.002128411,0.004120989,0.001640676,0.001607837,0.000793779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038369,"about_ca_system_score_gemma":0.0006605737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001850702,"about_ca_topic_score_gemma":0.0006157837,"domain_scores_codex":[0.9986738,0.0003737107,0.00008341987,0.0002888446,0.0004283699,0.00015183],"domain_scores_gemma":[0.9952509,0.002951992,0.0004516672,0.0006080183,0.0005452102,0.0001922447],"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":[0.00001965176,0.0000117108,0.0004469282,0.0000483202,0.00001842293,0.0001080312,0.00008424685,0.01246159,0.0008738429,0.9704295,0.001305077,0.01419265],"study_design_scores_gemma":[0.000005493976,0.00002225415,0.0005497414,0.00002750613,0.00001160598,0.0003085475,0.00002970293,0.1463432,0.0007314784,0.8460553,0.00590023,0.00001486624],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.05557282,0.003096911,0.8864047,0.001483852,0.0003235949,0.00003549131,0.0002966385,0.0003908576,0.05239517],"genre_scores_gemma":[0.8970379,0.003922794,0.07760639,0.0006047575,0.0007115958,0.00006845951,0.0002972481,0.0001971341,0.01955373],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005776557,"threshold_uncertainty_score":0.01932448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04527277403396728,"score_gpt":0.3571264159759667,"score_spread":0.3118536419419994,"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."}}