{"id":"W2104197126","doi":"10.1109/icsmc.1995.538037","title":"Techniques for confident and reliable fault detection in large scale engineering plants","year":2002,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Fault detection and isolation; Scale (ratio); Domain (mathematical analysis); Fault (geology); Algorithm; Artificial intelligence; Mathematics; Actuator","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":[0.001193292,0.000830091,0.0008754636,0.0006298916,0.0003762571,0.000730978,0.001665876,0.001169684,0.001454496],"category_scores_gemma":[0.007153026,0.0006565336,0.0005956648,0.0005924959,0.0008901382,0.002171313,0.001462037,0.001884315,0.0005013379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005633104,"about_ca_system_score_gemma":0.0005679257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015527,"about_ca_topic_score_gemma":0.001410914,"domain_scores_codex":[0.9990133,0.0002110362,0.00005536529,0.0001639096,0.0004958416,0.00006049043],"domain_scores_gemma":[0.9967069,0.001428329,0.0005982713,0.0008615415,0.0003494679,0.00005558735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002345937,0.00009625204,0.0007933815,0.0002665635,0.00008471917,0.000270461,0.0003577869,0.5903679,0.06922621,0.05007878,0.00187215,0.2863512],"study_design_scores_gemma":[0.0000160064,0.00005719746,0.000224965,0.00001352692,0.00001350521,0.0001228663,0.00001786524,0.967307,0.009000703,0.02180845,0.001394565,0.00002340726],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002929749,0.0001044557,0.9961424,0.00004065144,0.00000792473,0.00001010722,0.000009229091,0.0004439219,0.0003115073],"genre_scores_gemma":[0.4412842,0.0004949169,0.5558415,0.00009196968,0.00005861238,0.0001301843,0.00007815137,0.0001423908,0.001878083],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001665876,"threshold_uncertainty_score":0.006310761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049403490661148,"score_gpt":0.2209577898239001,"score_spread":0.2104637549172887,"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."}}