{"id":"W4235272084","doi":"10.1002/9780470012505.tal025","title":"<scp>L</scp>undberg Approximations, Generalized","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 Toronto","funders":"","keywords":"Mathematics; Applied mathematics; Combinatorics","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004863641,0.0004354246,0.0008730446,0.0009527333,0.0003181109,0.0003136345,0.004191536,0.0004697454,0.001711739],"category_scores_gemma":[0.01539749,0.0003107302,0.0002903978,0.002846072,0.002251593,0.0006704781,0.0006123525,0.0003652814,0.000872144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001658898,"about_ca_system_score_gemma":0.002529393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001178024,"about_ca_topic_score_gemma":0.0003473999,"domain_scores_codex":[0.9922123,0.0002064728,0.001188203,0.001441114,0.004217909,0.0007339862],"domain_scores_gemma":[0.9950519,0.001148456,0.001200264,0.001824893,0.0003901154,0.0003843863],"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":[0.00001085385,0.0002914146,0.0002041214,0.00003991193,0.0000295588,0.00000681761,0.002334893,0.0007041741,0.0002310208,0.07190318,0.9117882,0.01245588],"study_design_scores_gemma":[0.000524385,0.00006325614,0.0001909268,0.0000755833,0.00002737681,0.000005445119,0.0001376398,0.0002378645,0.0002056981,0.1245025,0.8738515,0.000177824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002306501,0.0006965427,0.01014867,0.0001802472,0.003624548,0.0007982624,0.0001143109,0.0001687518,0.9819621],"genre_scores_gemma":[0.003583096,0.0017582,0.04215507,0.0001500483,0.001643356,0.00005748616,0.00002057489,0.0001891163,0.950443],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05259937,"threshold_uncertainty_score":0.9999345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04352096466718433,"score_gpt":0.3353375948243887,"score_spread":0.2918166301572044,"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."}}