{"id":"W1987056569","doi":"10.1504/ijseam.2014.063882","title":"Selective maintenance considering two types of failure modes","year":2014,"lang":"en","type":"article","venue":"International Journal of Strategic Engineering Asset Management","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability engineering; Computer science; Failure rate; Preventive maintenance; Maintenance actions; Proactive maintenance; Optimal maintenance; Planned maintenance; Hazard; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00108574,0.0005825903,0.0005983721,0.000543928,0.0003858217,0.0005685922,0.0009573213,0.000776841,0.001132373],"category_scores_gemma":[0.002589952,0.0002128323,0.0006730722,0.0003712964,0.0006056426,0.0008471567,0.0007168961,0.0004275974,0.00007408938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004252029,"about_ca_system_score_gemma":0.0006376745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003821433,"about_ca_topic_score_gemma":0.003718342,"domain_scores_codex":[0.9994183,0.00009405548,0.00002856507,0.0001010206,0.0001794403,0.0001787206],"domain_scores_gemma":[0.9982063,0.0009514187,0.0002947234,0.0002302653,0.0002287843,0.00008843363],"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":[0.0005639512,0.0001345404,0.01483997,0.0002126723,0.0001287786,0.001633246,0.0003021214,0.8650305,0.02931406,0.02289419,0.0006269875,0.06431898],"study_design_scores_gemma":[0.00003962675,0.0004278448,0.008045025,0.00002147884,0.0001058342,0.0006656251,0.0001477286,0.9668341,0.006791695,0.01603023,0.0008567545,0.00003416352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7416034,0.0004944316,0.2533047,0.0001832002,0.00003054886,0.00006292009,0.00009244624,0.0001228565,0.004105498],"genre_scores_gemma":[0.9923037,0.00006547564,0.006872116,0.000008543057,0.000007795445,0.00001358114,0.00002147227,0.0000033922,0.000703908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003821433,"threshold_uncertainty_score":0.0075984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008462638889081024,"score_gpt":0.2167799590998934,"score_spread":0.2083173202108124,"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."}}