{"id":"W1574410237","doi":"10.1002/9781118445112.stat04399","title":"Mean Residual Lifetime","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","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; Residual risk; Reliability (semiconductor); Econometrics; Mathematics; Reliability engineering; Actuarial science; Economics; Engineering; Physics; Algorithm; 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":[0.004846755,0.0004744828,0.0008689538,0.001752071,0.0005985085,0.002489554,0.001466644,0.0008458453,0.0104045],"category_scores_gemma":[0.03693694,0.0002269412,0.0007764664,0.001663288,0.001573101,0.004884636,0.001372954,0.001749932,0.001764693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659629,"about_ca_system_score_gemma":0.001166916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001418119,"about_ca_topic_score_gemma":0.0006625516,"domain_scores_codex":[0.9976798,0.0006301047,0.0001320637,0.0005390818,0.0007706328,0.0002483155],"domain_scores_gemma":[0.9813325,0.009643978,0.002196945,0.002588154,0.003793721,0.000444748],"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":[0.00007596047,0.00002845751,0.00563588,0.0002887668,0.00006392581,0.0001270576,0.0003152798,0.03876426,0.001321384,0.854543,0.008936706,0.08989942],"study_design_scores_gemma":[0.00001507326,0.0001373806,0.006086448,0.0003131977,0.00005888022,0.001161767,0.0002272423,0.1292835,0.002348228,0.8169364,0.04334754,0.00008425086],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.07570772,0.01295175,0.8530915,0.002383936,0.0005988122,0.00007790839,0.001955473,0.0009617068,0.05227128],"genre_scores_gemma":[0.9207144,0.005887656,0.04976286,0.0005197417,0.0006399325,0.0001714709,0.001557435,0.000695523,0.02005099],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0104045,"threshold_uncertainty_score":0.03480649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03242054224426671,"score_gpt":0.337171977036859,"score_spread":0.3047514347925923,"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."}}