{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001160881,0.0007976551,0.001035463,0.0007219294,0.0004974038,0.0002603598,0.001379918,0.0006896898,0.008825612],"category_scores_gemma":[0.0004522146,0.0008136182,0.0001305085,0.0005944504,0.001276536,0.00009806781,0.0002596075,0.0008777243,0.001875714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002096209,"about_ca_system_score_gemma":0.0005806396,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0129383,"about_ca_topic_score_gemma":0.1385728,"domain_scores_codex":[0.9936792,0.0008466811,0.0009052551,0.001170385,0.002115115,0.001283407],"domain_scores_gemma":[0.9966486,0.0003176005,0.0009449818,0.001209699,0.0003644408,0.0005147036],"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":[0.00002563791,0.0002365516,0.0006224426,0.0001724606,0.0002007763,0.0000547296,0.0006648619,0.000004700777,8.445634e-7,0.1831668,0.7971647,0.01768551],"study_design_scores_gemma":[0.0004767683,0.0001643804,0.001091207,0.0004212763,0.0002093622,7.033965e-7,0.0005946387,0.00005199604,4.951398e-7,0.009030473,0.9869974,0.0009612708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00008163235,0.001831828,0.02148933,0.0005217459,0.002259536,0.001611223,0.04367206,0.001177614,0.9273551],"genre_scores_gemma":[0.001654156,0.02021829,0.1157649,0.0008824738,0.003780536,0.00009668704,0.01067272,0.001083861,0.8458464],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1898328,"threshold_uncertainty_score":0.9994315,"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."}}