{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003982238,0.0009034657,0.001372041,0.002267988,0.000864961,0.003600782,0.002129726,0.00120575,0.01809121],"category_scores_gemma":[0.02613765,0.0003990054,0.0009512292,0.002196229,0.003251221,0.005650232,0.002814747,0.002981671,0.005520938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155491,"about_ca_system_score_gemma":0.001035422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009669831,"about_ca_topic_score_gemma":0.0004590476,"domain_scores_codex":[0.9948251,0.001193731,0.0003677633,0.001013589,0.002207824,0.0003920323],"domain_scores_gemma":[0.9828067,0.007094932,0.001737808,0.004339688,0.00345036,0.0005704543],"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":[0.0001586996,0.00003936806,0.001525103,0.0001737337,0.00005086038,0.0005876494,0.0002066585,0.03083214,0.002045331,0.8942875,0.009237558,0.06085543],"study_design_scores_gemma":[0.00002315011,0.00003868991,0.000473911,0.00009749321,0.00001487231,0.0005371572,0.00005738205,0.08489427,0.001452594,0.8942797,0.01810471,0.00002601375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02246627,0.001180485,0.9358865,0.001311453,0.0003515242,0.00008202619,0.001158353,0.000767512,0.03679582],"genre_scores_gemma":[0.7676703,0.003278002,0.1717474,0.001262232,0.001400804,0.0003958641,0.003344483,0.0005872785,0.0503136],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01809121,"threshold_uncertainty_score":0.06052113,"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."}}