{"id":"W4243444271","doi":"10.1002/9780470012505.tam018","title":"Mean Residual Lifetime","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Actuarial Science","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Residual; Statistics; Reliability (semiconductor); Residual risk; Mathematics; Econometrics; Reliability engineering; Engineering; Algorithm; Physics; Thermodynamics","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002770927,0.0003907504,0.0005636318,0.0009131447,0.0006064484,0.0001561196,0.002431247,0.0003865424,0.00385099],"category_scores_gemma":[0.0006458904,0.0003826012,0.0001957761,0.001896853,0.004771946,0.0003650739,0.0003270748,0.0003422406,0.0004429604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002731214,"about_ca_system_score_gemma":0.002341626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03039332,"about_ca_topic_score_gemma":0.01754064,"domain_scores_codex":[0.9943777,0.0001970466,0.0005393435,0.0009360532,0.002934536,0.001015356],"domain_scores_gemma":[0.9978868,0.00009477615,0.0006562454,0.000832323,0.0001654913,0.0003643846],"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":[0.00006497918,0.0004391528,0.00305198,0.0001545152,0.0001461489,0.00005370138,0.0223094,0.0000267602,0.00003854461,0.2424426,0.712882,0.01839018],"study_design_scores_gemma":[0.0003538846,0.00008150549,0.002533573,0.000152646,0.00006494269,3.446793e-7,0.0006493158,5.748871e-7,0.00001788545,0.002087672,0.9935786,0.000479109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009025624,0.0003673526,0.00006260032,0.0003921734,0.005170338,0.0009879362,0.00007007732,0.0003142713,0.9917327],"genre_scores_gemma":[0.04950085,0.009461171,0.006570132,0.0002927936,0.01059422,0.00007576877,0.00003324282,0.0004539045,0.9230179],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2806965,"threshold_uncertainty_score":0.9998626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009662587112825931,"score_gpt":0.2886568259146551,"score_spread":0.2789942388018292,"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."}}