{"id":"W3192092508","doi":"10.1002/9780470012505.tac046","title":"Compound Distributions","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Actuarial Science","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Chemistry","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":[0.003146164,0.0002755075,0.0005965548,0.0006336616,0.000283205,0.0001933687,0.003348675,0.0002817639,0.004088629],"category_scores_gemma":[0.005063784,0.0001924833,0.000199148,0.002201015,0.003191905,0.0003862468,0.0005192533,0.0002907728,0.000704336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001705508,"about_ca_system_score_gemma":0.002248172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001161906,"about_ca_topic_score_gemma":0.0004508175,"domain_scores_codex":[0.9945397,0.00009616507,0.000788732,0.0009996514,0.00306528,0.000510462],"domain_scores_gemma":[0.996851,0.0004930254,0.0006959191,0.00138082,0.0002926658,0.0002865488],"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":[0.00004160491,0.0005061286,0.0005036458,0.00003120401,0.00002977682,0.00001644171,0.001086877,0.0002172881,0.0002383276,0.1937395,0.7708485,0.03274078],"study_design_scores_gemma":[0.0002569704,0.00005591731,0.0005502594,0.00006391867,0.00001663094,0.000004113084,0.00003712726,0.00003253337,0.00008874998,0.1277302,0.8709065,0.0002570867],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004995602,0.0002049929,0.0154355,0.0003606077,0.003247709,0.0004202783,0.0003486558,0.00009921809,0.9793835],"genre_scores_gemma":[0.1143394,0.0008986882,0.01529951,0.00009556737,0.002129046,0.00003280233,0.00004487629,0.0001923147,0.8669678],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1138398,"threshold_uncertainty_score":0.9995208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04842400134331155,"score_gpt":0.3574527175609437,"score_spread":0.3090287162176321,"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."}}