{"id":"W2031070862","doi":"10.1016/j.orl.2008.05.001","title":"The influence of the node criticality relation on some measures of component importance","year":2008,"lang":"en","type":"article","venue":"Operations Research Letters","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"European Regional Development Fund; Royal Canadian Geographical Society","keywords":"Criticality; Component (thermodynamics); Ranking (information retrieval); Reliability (semiconductor); Relation (database); Computer science; Reliability engineering; Node (physics); Mathematics; Statistics; Data mining; Artificial intelligence; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004189759,0.0005277726,0.0006532544,0.001598948,0.0004297344,0.001142739,0.0006908696,0.0005899913,0.001601516],"category_scores_gemma":[0.07107467,0.0003026426,0.0003682374,0.0008840422,0.001267109,0.00147044,0.0004432017,0.0008528291,0.0001149895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006659168,"about_ca_system_score_gemma":0.0004471462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001178405,"about_ca_topic_score_gemma":0.001024627,"domain_scores_codex":[0.9985862,0.0007265987,0.00004588554,0.0002528993,0.0002398331,0.0001486034],"domain_scores_gemma":[0.7919413,0.1990034,0.00309311,0.003010023,0.001966772,0.0009854161],"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":[0.001333185,0.0001768523,0.03245727,0.0003986639,0.0003131517,0.000909182,0.000525574,0.8127789,0.0419043,0.05932591,0.001414174,0.04846265],"study_design_scores_gemma":[0.00005185049,0.0004871049,0.04473145,0.00006374909,0.0003223794,0.0007932534,0.0002017947,0.8986533,0.01584429,0.03792085,0.0008226345,0.0001073645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8898693,0.001561905,0.09805971,0.0004956814,0.00007395237,0.00002370984,0.0001604901,0.0002243849,0.009530774],"genre_scores_gemma":[0.9980271,0.0001273273,0.00157278,0.00001166824,0.00002217748,0.000004247146,0.00001814937,0.00002888304,0.0001876254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004189759,"threshold_uncertainty_score":0.02215785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04816845958036342,"score_gpt":0.2923257338945415,"score_spread":0.2441572743141781,"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."}}