{"id":"W1578667964","doi":"10.1002/9780470012505.taa016","title":"Aggregate Loss Modeling","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Actuarial Science","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Aggregate (composite); Environmental science; Materials science; Nanotechnology","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":[0.001426594,0.001097801,0.0009661558,0.001283039,0.0004992775,0.002939623,0.002081499,0.0009858594,0.01086148],"category_scores_gemma":[0.00256896,0.0002442344,0.0009553932,0.001743934,0.0004006344,0.002468315,0.001474837,0.001379343,0.002800734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001058217,"about_ca_system_score_gemma":0.0007871947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004982059,"about_ca_topic_score_gemma":0.00214449,"domain_scores_codex":[0.998925,0.0002722067,0.0000492525,0.0001874208,0.0004421503,0.0001238165],"domain_scores_gemma":[0.9989783,0.0003227888,0.0001624393,0.0001615391,0.0003196903,0.00005538595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000272551,0.00003056412,0.000987282,0.00005264913,0.0000408542,0.00007810636,0.00005235488,0.8572271,0.000474293,0.09371123,0.008236713,0.0390815],"study_design_scores_gemma":[0.000003452766,0.00002272346,0.0003977141,0.00002458501,0.00001991707,0.00005330908,0.00002314434,0.9250246,0.0002811154,0.06488743,0.00924856,0.00001334417],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01605366,0.001493693,0.9267455,0.0008090069,0.0001949747,0.00009166606,0.002044157,0.0009017148,0.05166573],"genre_scores_gemma":[0.8310938,0.004961818,0.0822814,0.0003717804,0.0006820136,0.0003980687,0.003638037,0.0004181826,0.07615488],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01086148,"threshold_uncertainty_score":0.03633529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0525857967882727,"score_gpt":0.3487626085712427,"score_spread":0.29617681178297,"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."}}