{"id":"W4411271921","doi":"10.1109/ias55788.2024.11023740","title":"A Gramian Angular Summation Field-Convolutional Neural Network-Based Openswitch Fault Detection Technique for Interfacing Inverters in Microgrids","year":2024,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Interfacing; Computer science; Convolutional neural network; Fault detection and isolation; Electronic engineering; Fault (geology); Field (mathematics); Gramian matrix; Artificial intelligence; Engineering; Mathematics; Physics; Computer hardware","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":[0.0002351977,0.0006149233,0.0002893848,0.0006811017,0.0001986795,0.0002408021,0.0005738969,0.0002965992,0.001028054],"category_scores_gemma":[0.0004801064,0.0001242989,0.0002816111,0.000385659,0.0002373301,0.0006903509,0.0003432615,0.0003026091,0.0001759456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004954009,"about_ca_system_score_gemma":0.0004439371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005427232,"about_ca_topic_score_gemma":0.007787596,"domain_scores_codex":[0.9999034,0.00001197252,0.000004488338,0.00002382487,0.00003509549,0.00002114942],"domain_scores_gemma":[0.9998664,0.00002833894,0.00002581297,0.00001772655,0.00005169425,0.000009998676],"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":[0.0003498518,0.0001360625,0.005158363,0.00009513767,0.00006246782,0.0002763935,0.00006385858,0.1634936,0.06792731,0.003880488,0.002148278,0.7564082],"study_design_scores_gemma":[0.000006602107,0.00009126236,0.002224613,0.000006215518,0.00001380653,0.00009785234,0.0000187624,0.9684405,0.02672531,0.001430044,0.0009354712,0.000009625432],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1840412,0.0004998149,0.809106,0.0001779477,0.00008570271,0.00006657846,0.0002092831,0.002512326,0.003301138],"genre_scores_gemma":[0.8915094,0.000183,0.1053071,0.00007215043,0.000024343,0.00002496462,0.0002525686,0.00003405422,0.002592546],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005427232,"threshold_uncertainty_score":0.0107913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143990573163962,"score_gpt":0.2297810434270645,"score_spread":0.2183411376954249,"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."}}