{"id":"W1981300442","doi":"10.1057/jors.2010.173","title":"Optimal inspection intervals for safety systems with partial inspections","year":2010,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"IEC 61508; Warranty; Reliability engineering; Safety instrumented system; Reliability (semiconductor); Computer science; Downtime; Functional safety; Purchasing; Risk analysis (engineering); System safety; Work (physics); Operations research; Operations management; Work in process; Engineering; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.001865346,0.00007142515,0.0001155115,0.00003843849,0.0004957608,0.0001532559,0.0002006239,0.00008056503,0.0000213274],"category_scores_gemma":[0.00035885,0.00004304697,0.0001591138,0.0002425242,0.0001642019,0.0003747455,0.00002559205,0.0007401455,0.000002042833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002174951,"about_ca_system_score_gemma":0.0002081684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001108347,"about_ca_topic_score_gemma":0.00002377759,"domain_scores_codex":[0.9988865,0.00006182573,0.0002975664,0.00008013707,0.0004922944,0.0001817354],"domain_scores_gemma":[0.9984077,0.0001793288,0.00005749913,0.0001375024,0.001153193,0.00006484352],"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":[0.00007908348,0.00004366749,0.0001873994,0.00003282901,0.00008335779,2.200862e-7,0.0004566452,0.9687491,0.008816007,0.005236763,0.01623627,0.00007866094],"study_design_scores_gemma":[0.000856877,0.0002562558,0.00162781,0.00008934451,0.00002009107,0.00009615113,0.000794179,0.9538182,0.003790244,0.0002456607,0.0382957,0.0001094934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5292868,0.000136199,0.4580128,0.005767792,0.003657183,0.001253371,0.00005165621,0.00008561172,0.001748633],"genre_scores_gemma":[0.9845604,0.0001236294,0.01403922,0.0000241139,0.000852105,0.00004028046,0.000003874668,0.00001724178,0.0003391574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4552736,"threshold_uncertainty_score":0.3813041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02523605082691326,"score_gpt":0.309776259610299,"score_spread":0.2845402087833857,"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."}}