{"id":"W2784122927","doi":"10.1109/icmla.2017.0-177","title":"A Hybrid Scheme for Fault Diagnosis with Partially Labeled Sets of Observations","year":2017,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Dimensionality reduction; Computer science; Curse of dimensionality; Artificial intelligence; Scheme (mathematics); Machine learning; Reduction (mathematics); Fault (geology); Supervised learning; Process (computing); Pattern recognition (psychology); Classification scheme; Data mining; Artificial neural network; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006048796,0.00007546272,0.0001413566,0.00002168712,0.0001059516,0.00004607222,0.0001191998,0.00002565621,0.00002616683],"category_scores_gemma":[0.00005962295,0.0000609619,0.00004215963,0.00002069416,0.0000169479,0.0001232808,0.000007718668,0.00003263246,0.000007810764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001171462,"about_ca_system_score_gemma":0.00001058842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008774841,"about_ca_topic_score_gemma":0.0004897466,"domain_scores_codex":[0.9995743,0.000004289318,0.0001451709,0.00008158491,0.00007692185,0.0001177563],"domain_scores_gemma":[0.9995184,0.0000385704,0.00004773934,0.0002829217,0.00007325305,0.00003914642],"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":[0.0007430108,0.0007284281,0.2708033,0.002609482,0.00363182,0.00003287654,0.001240035,0.09482195,0.3993706,0.02602887,0.1072051,0.09278452],"study_design_scores_gemma":[0.003249138,0.000192939,0.01911377,0.00009782005,0.00005214147,0.000005347452,0.00007017172,0.8124459,0.1036943,0.0001292177,0.06062091,0.0003283365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817311,0.00004327376,0.01451987,0.0003398781,0.0002181242,0.0004291153,0.00003797987,0.0002116064,0.002469117],"genre_scores_gemma":[0.9967674,0.000007293501,0.002286935,0.00002920563,0.00003717165,0.000394716,0.000004039193,0.00001629965,0.0004569609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.717624,"threshold_uncertainty_score":0.2485954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02913650035029376,"score_gpt":0.2515854304726229,"score_spread":0.2224489301223292,"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."}}