{"id":"W2522463850","doi":"10.1002/qre.2078","title":"On Reliability of a Multi‐Socket Repairable System","year":2016,"lang":"en","type":"article","venue":"Quality and Reliability Engineering International","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"JDA Software (Canada)","funders":"","keywords":"Component (thermodynamics); Context (archaeology); Dilemma; Reliability (semiconductor); Poisson process; Computer science; Reliability engineering; Process (computing); Sibling; Poisson point process; Point process; Poisson distribution; Operations research; Engineering; Mathematics; Statistics; Economics","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":[0.006916627,0.0008902128,0.001031329,0.00205426,0.0005081495,0.001385733,0.001583401,0.0015309,0.002109135],"category_scores_gemma":[0.02244196,0.0004762169,0.001042039,0.001637075,0.002926609,0.002601725,0.001663106,0.001527675,0.0004020481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001554558,"about_ca_system_score_gemma":0.0007685372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004073143,"about_ca_topic_score_gemma":0.001334288,"domain_scores_codex":[0.9975238,0.001230495,0.0001183675,0.0003436755,0.0005811347,0.000202554],"domain_scores_gemma":[0.9854745,0.01118965,0.001209673,0.0006944401,0.001192074,0.0002397656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000669083,0.00002711095,0.003900902,0.0002402776,0.00006558365,0.0004622982,0.000407837,0.5417088,0.002069087,0.4331018,0.001029198,0.01692024],"study_design_scores_gemma":[0.000006429049,0.00005132839,0.001232149,0.00003870552,0.00002326136,0.0001486686,0.00006658326,0.8712823,0.0004337012,0.1257273,0.0009665493,0.00002308034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0666317,0.002160711,0.9250726,0.0009114791,0.00007457576,0.00003558542,0.0001042198,0.0001455092,0.004863596],"genre_scores_gemma":[0.9416583,0.003442335,0.05118652,0.0001699119,0.0003110714,0.0001230943,0.0001830211,0.0000990824,0.002826777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006916627,"threshold_uncertainty_score":0.03657907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05560852174225406,"score_gpt":0.3588368923864448,"score_spread":0.3032283706441908,"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."}}