{"id":"W4239297635","doi":"10.1002/9780470012505.tat016","title":"Truncated Distributions","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Actuarial Science","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Truncation (statistics); Mathematics; Random variable; Range (aeronautics); Distribution (mathematics); Set (abstract data type); Probability distribution; Statistics; Applied mathematics; Combinatorics; Mathematical analysis; Computer science; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002292533,0.0001885436,0.000288856,0.0001758068,0.0001393209,0.00002833942,0.0005301862,0.0001525414,0.00536311],"category_scores_gemma":[0.00250777,0.0001684201,0.00006972187,0.0009120301,0.0009892114,0.00006598957,0.00008004012,0.0001487805,0.0002233143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001428871,"about_ca_system_score_gemma":0.0007519653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000161034,"about_ca_topic_score_gemma":0.00002706165,"domain_scores_codex":[0.9984315,0.00001801007,0.0003665981,0.0003465424,0.0005556819,0.0002816506],"domain_scores_gemma":[0.9987158,0.0001894704,0.0003453691,0.0004410006,0.0001321664,0.0001762371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001819155,0.0001015583,0.000002221036,0.00002637207,0.000006421972,5.329167e-7,0.00003163793,4.65015e-7,0.00005417336,0.7955545,0.2033172,0.000903187],"study_design_scores_gemma":[0.000558575,0.0000428641,0.0006154994,0.0001794715,0.00009907055,0.000003581393,0.0000255695,0.00005855217,0.0003389869,0.2586232,0.7390494,0.0004052349],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002675602,0.0000133428,0.2464803,0.0001637188,0.0003589641,0.0003550277,0.001269775,0.0001944148,0.7511377],"genre_scores_gemma":[0.07545723,0.0004363075,0.1949914,0.0001019771,0.001587843,0.0003483413,0.001549286,0.0005723322,0.7249553],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5369313,"threshold_uncertainty_score":0.9955461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02895032362984224,"score_gpt":0.3459447481455473,"score_spread":0.316994424515705,"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."}}