{"id":"W3113143332","doi":"10.1017/s0269964820000637","title":"A CUMULATIVE RESIDUAL INACCURACY MEASURE FOR COHERENT SYSTEMS AT COMPONENT LEVEL AND UNDER NONHOMOGENEOUS POISSON PROCESSES","year":2020,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Point process; Measure (data warehouse); Mathematics; Poisson distribution; Residual; Applied mathematics; Stochastic process; Entropy (arrow of time); Martingale (probability theory); Reliability (semiconductor); Poisson process; Statistical physics; Computer science; Statistics; Algorithm; Data mining; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005233294,0.00007476195,0.0000943209,0.00001937451,0.0001968723,0.00008131903,0.0000945562,0.00002362136,0.00000415768],"category_scores_gemma":[0.001702075,0.00005036478,0.000009982545,0.0001790408,0.0001075165,0.0001586649,0.0000306136,0.00005010726,0.000001329118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003914298,"about_ca_system_score_gemma":0.00004130084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009653145,"about_ca_topic_score_gemma":0.000006775062,"domain_scores_codex":[0.9992892,0.00001949473,0.0002490105,0.0001054652,0.0002330053,0.0001038692],"domain_scores_gemma":[0.9986464,0.001098205,0.00006488034,0.00004385797,0.00009862953,0.00004799409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001686783,0.00004046193,0.000137447,0.0007340749,0.000007235828,5.998511e-8,0.003306248,0.1002928,0.00003976365,0.8948365,0.0003155086,0.0002730949],"study_design_scores_gemma":[0.0002829226,0.00006704588,0.004977941,0.00005481278,0.000009836844,0.00001153383,0.0006961853,0.9513057,0.00005532042,0.04186669,0.0005495959,0.000122417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7775243,0.00017677,0.2119029,0.008080397,0.0000317734,0.001507711,0.0004569225,0.00006741929,0.0002518421],"genre_scores_gemma":[0.9967559,0.000003543143,0.002940003,0.00008329412,0.00001618472,0.0001693249,0.00002694743,0.000001809282,0.000002977096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8529698,"threshold_uncertainty_score":0.2053816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2369137245252602,"score_gpt":0.3487911879201594,"score_spread":0.1118774633948992,"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."}}