{"id":"W88152856","doi":"10.1007/978-0-8176-8361-0_8","title":"Stochastic Orders in Reliability","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Stochastic ordering; Residual; Mathematics; Order (exchange); Reliability (semiconductor); Statistics; Convolution (computer science); Hazard; Applied mathematics; Econometrics; Computer science; Algorithm; Economics; Physics; Artificial intelligence","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":[0.0004501396,0.00112073,0.0006878403,0.001271293,0.0004739388,0.001742056,0.0005764796,0.0005939768,0.01969185],"category_scores_gemma":[0.001912356,0.0005383749,0.0003300643,0.001634798,0.001527957,0.002514804,0.0007279585,0.002074392,0.008608603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001375506,"about_ca_system_score_gemma":0.001021456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001630362,"about_ca_topic_score_gemma":0.002520054,"domain_scores_codex":[0.9995812,0.00008644212,0.00001759794,0.00005418393,0.0002363283,0.0000243329],"domain_scores_gemma":[0.9994782,0.0002506699,0.00002990977,0.0000896439,0.0001248482,0.00002673578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007344476,0.0000155079,0.00005799399,0.00008987444,0.000005747717,0.00002749102,0.0001122197,0.005188056,0.0002772357,0.8641617,0.05793697,0.07211982],"study_design_scores_gemma":[0.000002567023,0.00000947138,0.000165972,0.00008126786,0.000004392331,0.00007962231,0.00003392307,0.007337558,0.0002869148,0.781249,0.2107385,0.0000107531],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.004833714,0.04428733,0.2457399,0.00485254,0.00311666,0.00005287236,0.000478939,0.0007284778,0.6959096],"genre_scores_gemma":[0.1341343,0.04274483,0.05823215,0.001048404,0.0045225,0.0001253334,0.000641813,0.0009560979,0.7575945],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01969185,"threshold_uncertainty_score":0.06587583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07010123131161065,"score_gpt":0.339581422772933,"score_spread":0.2694801914613223,"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."}}