{"id":"W4381885510","doi":"10.1016/j.eswa.2023.120899","title":"Developing a fuzzy optimized model for selecting a maintenance strategy in the paper industry: An integrated FGP-ANP-FMEA approach","year":2023,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Failure mode and effects analysis; Risk analysis (engineering); Preventive maintenance; Fuzzy logic; Predictive maintenance; Reliability engineering; Proactive maintenance; Optimal maintenance; Operations research; Business; Engineering; Artificial intelligence","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":[0.0008097459,0.0008913849,0.001233799,0.001065406,0.0005974914,0.001342662,0.001372181,0.001924126,0.002812225],"category_scores_gemma":[0.001384842,0.000644094,0.001331643,0.0008625173,0.0004126712,0.000920614,0.0007003606,0.0008786246,0.0003746093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001187331,"about_ca_system_score_gemma":0.001687196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02740608,"about_ca_topic_score_gemma":0.0172782,"domain_scores_codex":[0.9997631,0.00006501946,0.00001270474,0.00004850396,0.00007207452,0.00003855499],"domain_scores_gemma":[0.9996299,0.0002063607,0.00003626023,0.00001589279,0.00009685555,0.00001475793],"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":[0.000006909094,0.00001117774,0.0001094696,0.00002124063,0.00001235393,0.00002267257,0.000009369504,0.9925647,0.000342518,0.00127688,0.0001221294,0.00550051],"study_design_scores_gemma":[0.000001594049,0.00000531747,0.00003219424,0.000002676933,0.000004513869,0.000003806209,0.000003307441,0.9992625,0.00009261049,0.0005016223,0.00008829163,0.000001551136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01714808,0.0001999149,0.9762387,0.0001319989,0.00003149754,0.00007649032,0.00009417501,0.0002068864,0.005872328],"genre_scores_gemma":[0.7233408,0.0004196521,0.2680795,0.0001336798,0.00004849078,0.0004919702,0.0002498682,0.0001008385,0.007135219],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02740608,"threshold_uncertainty_score":0.05449313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05490420174599783,"score_gpt":0.2941163811366332,"score_spread":0.2392121793906354,"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."}}