{"id":"W2979769426","doi":"10.18280/ejee.210309","title":"Online Fault Diagnosis for Photovoltaic Modules Based on Probabilistic Neural Network","year":2019,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Advanced Decision-Making Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Artificial neural network; Probabilistic logic; Fault (geology); Probabilistic neural network; Computer science; Artificial intelligence; Reliability engineering; Electrical engineering; Time delay neural network; Engineering; Geology; Seismology","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":[0.0006656569,0.0001934781,0.0002968007,0.0002345415,0.00004144008,0.00007952852,0.0009427706,0.00002714023,0.000003637515],"category_scores_gemma":[0.001249562,0.0001607638,0.0001852057,0.0005687451,0.000008542397,0.0002251393,0.00008140854,0.0004194613,0.000006739292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001016089,"about_ca_system_score_gemma":0.00002827859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.756138e-7,"about_ca_topic_score_gemma":5.882429e-8,"domain_scores_codex":[0.9984031,0.00009140255,0.0005103042,0.0002575957,0.0003593449,0.0003781975],"domain_scores_gemma":[0.9978619,0.00120022,0.000237849,0.0003829439,0.0001830506,0.0001340364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003470365,0.00009868743,0.00006587629,0.00001260544,0.000009410529,0.00007311322,0.000007634948,0.9552299,0.001148566,0.001083145,0.0006179461,0.04161841],"study_design_scores_gemma":[0.000428983,0.001390792,0.001285629,0.0001867885,0.000007493598,0.00003738295,2.723909e-7,0.9910216,0.000722505,0.000762608,0.003972888,0.0001830929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03953244,0.0001751233,0.9593284,0.0001410493,0.00035259,0.0002423593,0.000001661244,0.0001723196,0.00005408821],"genre_scores_gemma":[0.6258616,0.000008804508,0.3736685,0.0001880037,0.0002278703,0.000003939228,6.567722e-7,0.00003242326,0.000008227868],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5863292,"threshold_uncertainty_score":0.6555756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356819419620934,"score_gpt":0.2434599884296746,"score_spread":0.2298917942334653,"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."}}