{"id":"W2350546614","doi":"","title":"Condition Monitoring and Fault Diagnosis Methods of Hybrid System Based on Petri Nets","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petri net; Computer science; Vaporizer; Fault (geology); Process (computing); Hybrid system; Controller (irrigation); Fault detection and isolation; Real-time computing; Distributed computing; Artificial intelligence; Machine learning; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001359209,0.0001057224,0.0001714549,0.0001262406,0.00006981903,0.00001576983,0.0001166174,0.00008355892,0.000002602631],"category_scores_gemma":[8.024772e-7,0.0001122185,0.00003703554,0.0001306647,0.00002388926,0.00004038709,0.00001438929,0.0001319959,0.00001658718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006675164,"about_ca_system_score_gemma":0.000005880484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005719875,"about_ca_topic_score_gemma":3.26756e-7,"domain_scores_codex":[0.9994149,0.00003210619,0.0002303791,0.0001488196,0.00005060154,0.0001231564],"domain_scores_gemma":[0.9995654,0.0001343036,0.00004880782,0.0001870214,0.00003188949,0.00003262285],"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":[0.00000768558,0.00008207328,0.001350311,0.0001965009,0.00008597517,0.000001509692,0.00005873019,0.05783163,0.03917225,0.003308417,0.001477361,0.8964276],"study_design_scores_gemma":[0.001005639,0.00004723591,0.0009074012,0.000181155,0.00005041576,0.00002295014,0.00004141212,0.211668,0.531895,0.00006747097,0.2538431,0.0002702097],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04426247,0.0004145532,0.9533202,0.0001483707,0.00006693801,0.0006415895,0.00002893368,0.0004595598,0.0006573792],"genre_scores_gemma":[0.9331912,0.000009717943,0.06577212,0.00001517469,0.0002451991,0.0007357303,0.00000930382,0.00001439521,0.000007094782],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8961573,"threshold_uncertainty_score":0.4576136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013395645487199,"score_gpt":0.2624474765680713,"score_spread":0.2523135201131993,"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."}}