{"id":"W2922601328","doi":"10.1002/0471667196.ess1145.pub3","title":"Repairable Systems in Reliability","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"ASTER","funders":"","keywords":"Encyclopedia; Citation; Reliability (semiconductor); Computer science; Library science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006017476,0.001423413,0.001323612,0.00314075,0.0004873886,0.002859175,0.001333939,0.001029024,0.1118174],"category_scores_gemma":[0.001938129,0.0003757184,0.000483921,0.0062543,0.0008161036,0.002485685,0.001084034,0.001830156,0.0427306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001070948,"about_ca_system_score_gemma":0.001177683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00354006,"about_ca_topic_score_gemma":0.00661576,"domain_scores_codex":[0.9995319,0.00009702911,0.00002045923,0.00007700673,0.0002397891,0.00003385271],"domain_scores_gemma":[0.9992231,0.0002989987,0.00005716818,0.0001189351,0.0002145164,0.00008728586],"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":[0.00001744886,0.00005671433,0.0001700054,0.0004712793,0.00001319329,0.00005487544,0.0000939959,0.002245695,0.0003100027,0.155529,0.5419064,0.2991314],"study_design_scores_gemma":[0.000009699466,0.00003099363,0.0008363384,0.0004086324,0.00002126268,0.0002694264,0.00007647338,0.004619253,0.0003778625,0.09323615,0.9000977,0.00001620201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001906,0.1113429,0.06977353,0.004965351,0.00605457,0.00008315346,0.001821559,0.001563988,0.802489],"genre_scores_gemma":[0.02387943,0.1115262,0.03610963,0.001096223,0.00455586,0.0001295407,0.002372796,0.0009674298,0.8193628],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1118174,"threshold_uncertainty_score":0.3740664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005923039002681355,"score_gpt":0.2299240716688098,"score_spread":0.2240010326661285,"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."}}