{"id":"W7117124432","doi":"10.18280/jesa.581118","title":"Development of an AI-Based Predictive Maintenance Application for CNC Machines","year":2025,"lang":"","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Troubleshooting; Predictive maintenance; Component (thermodynamics); Development (topology); Field (mathematics); Numerical control","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003125303,0.0004710143,0.0003460427,0.0005169871,0.0002883603,0.0004808684,0.00137981,0.0006026654,0.007491213],"category_scores_gemma":[0.0009969705,0.0002889506,0.0002194006,0.0003358292,0.0001860199,0.0005077805,0.0003549908,0.0005769465,0.001581417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002576094,"about_ca_system_score_gemma":0.0005441399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004062875,"about_ca_topic_score_gemma":0.003417486,"domain_scores_codex":[0.9998021,0.00001841538,0.00001201846,0.00005069446,0.00009990222,0.00001695786],"domain_scores_gemma":[0.99958,0.0001255785,0.00002612254,0.00006698073,0.0001687323,0.00003259832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007511599,0.0005464335,0.003716641,0.0005736898,0.0001092861,0.001075786,0.0003845491,0.07550389,0.2620625,0.004817486,0.0148959,0.6355627],"study_design_scores_gemma":[0.0001122348,0.0002717001,0.002848354,0.00003474738,0.00006231908,0.0004740503,0.00004865158,0.9005963,0.07355429,0.001317093,0.02064877,0.00003145313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09854069,0.0003070307,0.8225633,0.0003665684,0.0002198549,0.0006379817,0.0005546866,0.05755572,0.01925418],"genre_scores_gemma":[0.5796252,0.00020033,0.4049638,0.0001993676,0.00004388679,0.0002364756,0.0006714269,0.0006677093,0.01339186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007491213,"threshold_uncertainty_score":0.02506059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032176797447559,"score_gpt":0.2941402273808882,"score_spread":0.2838184594064126,"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."}}