{"id":"W2040765167","doi":"10.1115/1.3142871","title":"Automated Operating Mode Classification for Online Monitoring Systems","year":2009,"lang":"en","type":"article","venue":"Journal of vibration and acoustics","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Alberta; Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude","keywords":"Excavator; Vibration; Condition monitoring; Mode (computer interface); Transient (computer programming); Fault detection and isolation; Fault (geology); Control engineering; Swing; Engineering; Computer science; Task (project management); Artificial intelligence; Actuator; Mechanical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001198591,0.00007178177,0.0001246385,0.00008199578,0.00004453127,0.00008975132,0.00004883571,0.00005582715,5.147728e-7],"category_scores_gemma":[0.00009174581,0.00006403273,0.00002272891,0.00005435427,0.000004294109,0.0002114312,0.000002532739,0.00009745985,1.172672e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003767599,"about_ca_system_score_gemma":0.00001171216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.353374e-7,"about_ca_topic_score_gemma":1.41528e-7,"domain_scores_codex":[0.9994441,0.00001021163,0.0003361896,0.00004232022,0.00009510728,0.00007207655],"domain_scores_gemma":[0.9996108,0.00004958514,0.0001058336,0.00004820617,0.0001434662,0.00004212992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004937623,0.00004839523,0.0002857928,0.00007818444,0.00001556482,0.000001500808,0.0001041905,0.3926557,0.5941991,0.0002501191,0.002663311,0.009693277],"study_design_scores_gemma":[0.000182362,0.0001079162,0.006843313,0.0001094976,0.00002099038,0.00001546007,0.00008195045,0.985471,0.006947141,0.00005286542,0.000102186,0.0000652811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3901399,0.0002822463,0.6086133,0.0001616963,0.0003229776,0.0001417291,0.00001273566,0.0002825467,0.00004289173],"genre_scores_gemma":[0.9313662,0.0002606363,0.06792177,0.0000246094,0.0004025181,0.000002763963,0.000007279352,0.00001008857,0.000004152659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5928153,"threshold_uncertainty_score":0.2611179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02297605642995666,"score_gpt":0.3347669203561693,"score_spread":0.3117908639262127,"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."}}