{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00312699,0.0003946874,0.0007676654,0.001542352,0.0005143297,0.002252326,0.001139833,0.0007109637,0.009767785],"category_scores_gemma":[0.02240821,0.0001961011,0.0006644736,0.001440575,0.001298907,0.003939855,0.00104685,0.001323981,0.001573436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001375235,"about_ca_system_score_gemma":0.0009877274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00108194,"about_ca_topic_score_gemma":0.0005029857,"domain_scores_codex":[0.9984364,0.0003846946,0.00008287911,0.0003379625,0.0005941124,0.000163951],"domain_scores_gemma":[0.987443,0.00618183,0.001639477,0.001619815,0.002787404,0.0003283967],"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":[0.00007387139,0.00002530781,0.004250403,0.0002533774,0.00004781646,0.0001493059,0.0002090068,0.04724245,0.002042704,0.846478,0.006943551,0.09228412],"study_design_scores_gemma":[0.00001515116,0.000145217,0.005504891,0.000244157,0.00005358669,0.00146462,0.0001811242,0.1682223,0.003737862,0.7769081,0.04344735,0.00007563221],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0888007,0.01196568,0.8269861,0.002057681,0.0004744443,0.00006484826,0.001415634,0.0009313847,0.0673034],"genre_scores_gemma":[0.9324785,0.004905346,0.04090974,0.000326134,0.0004875708,0.000112236,0.0009210566,0.0004392479,0.01942023],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009767785,"threshold_uncertainty_score":0.03267646,"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."}}