{"id":"W2972463432","doi":"10.1109/i2mtc.2019.8826819","title":"Operation Status Tracking for Legacy Manufacturing Systems via Vibration Analysis","year":2019,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Interrupt; Vibration; Computer science; Process (computing); Fault (geology); Track (disk drive); Real-time computing; Reliability engineering; Engineering; Embedded system; Operating system","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":[0.0002886893,0.0004974951,0.0003315323,0.001323724,0.000272924,0.0004882488,0.0003878923,0.00040114,0.0009510068],"category_scores_gemma":[0.001162308,0.0001448672,0.000231078,0.0005140057,0.0001988091,0.0006065068,0.0003975842,0.0003450419,0.0004161326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002743419,"about_ca_system_score_gemma":0.0002111807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001273307,"about_ca_topic_score_gemma":0.001932485,"domain_scores_codex":[0.999671,0.00002447545,0.00001950168,0.00008489956,0.0001720134,0.00002819389],"domain_scores_gemma":[0.9994507,0.0001517613,0.0001270318,0.00007189291,0.0001772587,0.00002130252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005236004,0.0001907925,0.03138444,0.0002856788,0.00009516258,0.0004953101,0.0003024269,0.05766984,0.1775231,0.001364144,0.002021672,0.7281439],"study_design_scores_gemma":[0.00001602158,0.0003371836,0.03812952,0.00004815497,0.00005529246,0.0004266133,0.0001852619,0.8985944,0.05675099,0.002069131,0.003339054,0.00004834524],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.285072,0.0008077535,0.7069889,0.000180406,0.000150697,0.00007238649,0.0002471015,0.002792337,0.003688435],"genre_scores_gemma":[0.9552771,0.0001997447,0.04283512,0.0000410343,0.00002040576,0.00002292437,0.0001673914,0.00004210984,0.001394348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001323724,"threshold_uncertainty_score":0.003181398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01262030826109018,"score_gpt":0.252994162962994,"score_spread":0.2403738547019039,"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."}}