{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001045947,0.0001787175,0.0002545766,0.0000615059,0.00003291036,0.00001943573,0.0001134199,0.0001933024,0.02697052],"category_scores_gemma":[0.0006722586,0.0001608297,0.0000584809,0.00003109706,0.000101113,0.00003115741,0.00003323229,0.000239736,0.00319295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001121098,"about_ca_system_score_gemma":0.00004951804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002285167,"about_ca_topic_score_gemma":0.00002321107,"domain_scores_codex":[0.9990001,0.000008145687,0.0004187942,0.0002563333,0.000181932,0.0001346879],"domain_scores_gemma":[0.9986951,0.0006300435,0.0001056418,0.0003623493,0.0001254823,0.00008139032],"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":[0.000001153333,0.00002738473,2.814952e-7,0.00003211477,0.000004143377,3.71535e-7,0.000006778643,0.00001101995,3.715396e-7,0.9664242,0.0325113,0.0009809431],"study_design_scores_gemma":[0.0001328337,0.000007592104,0.00006269757,0.00004595159,0.00001793262,0.000001002233,0.000005040628,0.003617683,5.590618e-7,0.9790434,0.0168903,0.0001750567],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000782235,0.000003378203,0.4411235,0.0003971388,0.00002339659,0.0003892618,0.00009699818,0.00007677466,0.5578818],"genre_scores_gemma":[0.01812169,0.000004006789,0.02796891,0.0002068502,0.00003512371,0.0001665396,0.0002339243,0.00004862739,0.9532143],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4131545,"threshold_uncertainty_score":0.9975832,"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."}}