{"id":"W568861270","doi":"","title":"Strategy to maximize maintenance operation","year":2005,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Reliability engineering; Computer science; Risk analysis (engineering); Business; Operations management; Engineering","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":[0.0007230462,0.0008127674,0.0004060237,0.001131975,0.0009033839,0.001979265,0.0006868705,0.0007834978,0.005378287],"category_scores_gemma":[0.001590866,0.0002300009,0.0003423659,0.0008371996,0.0009183676,0.001022578,0.0009264934,0.0005571824,0.0005406105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003663435,"about_ca_system_score_gemma":0.004775648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0105533,"about_ca_topic_score_gemma":0.0251016,"domain_scores_codex":[0.9992399,0.0002125422,0.0000175749,0.00009881634,0.0002160518,0.000215053],"domain_scores_gemma":[0.9996692,0.0001035626,0.00005323083,0.00002957959,0.00009609955,0.00004829641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002418262,0.0002021627,0.006131399,0.0003915002,0.0001871253,0.0005447041,0.001601842,0.2592587,0.01529757,0.5430151,0.007098812,0.1660293],"study_design_scores_gemma":[0.000136855,0.001213609,0.01688769,0.000311829,0.0003302452,0.001331481,0.005538484,0.4413034,0.01459074,0.4194921,0.09873661,0.0001269135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.3448001,0.001020846,0.3261357,0.003080647,0.00006332125,0.0005387385,0.0002431323,0.0003606291,0.3237569],"genre_scores_gemma":[0.9660371,0.0003320716,0.01976646,0.0000879268,0.0000080838,0.000079367,0.0000385789,0.00004212538,0.01360833],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0105533,"threshold_uncertainty_score":0.02658021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00751431393233596,"score_gpt":0.1963968114699403,"score_spread":0.1888824975376044,"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."}}