{"id":"W4404959384","doi":"10.3390/electronics13234776","title":"Vision-Based Prediction of Flashover Using Transformers and Convolutional Long Short-Term Memory Model","year":2024,"lang":"en","type":"article","venue":"Electronics","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Transformer; Arc flash; Computer science; Term (time); Long short term memory; Artificial intelligence; Engineering; Voltage; Electrical engineering; Physics","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":[0.0002446642,0.0005649116,0.0003219742,0.0005512215,0.000113711,0.0003884301,0.0005380297,0.000349365,0.000899974],"category_scores_gemma":[0.0007916447,0.0001839676,0.000395464,0.0003443016,0.0002063991,0.0007111396,0.0003004888,0.0006326241,0.0002004728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006097881,"about_ca_system_score_gemma":0.0004776398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008017741,"about_ca_topic_score_gemma":0.009265032,"domain_scores_codex":[0.9999298,0.000006885178,0.000004441672,0.00002276044,0.00001712741,0.00001897999],"domain_scores_gemma":[0.9998393,0.00005507053,0.0000296561,0.00001184621,0.0000506617,0.00001341914],"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":[0.000264084,0.000154195,0.007822304,0.00007463307,0.00006418072,0.0001710171,0.00003833773,0.8191293,0.02026518,0.002309133,0.002140525,0.1475671],"study_design_scores_gemma":[8.775535e-7,0.000008536815,0.0002710056,0.000001060069,0.000002966054,0.000005915659,0.000002015725,0.9982059,0.001193523,0.000272884,0.0000339592,0.000001298384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3664856,0.0007317755,0.6271783,0.0002942359,0.0001112051,0.00004289929,0.0003737943,0.001728577,0.00305355],"genre_scores_gemma":[0.9829737,0.0001580325,0.01534093,0.00003663738,0.00001078729,0.0000125798,0.0002184181,0.0000172864,0.00123167],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008017741,"threshold_uncertainty_score":0.01594216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440060490216685,"score_gpt":0.2705836610358198,"score_spread":0.256183056133653,"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."}}