{"id":"W4392172849","doi":"10.1109/ojia.2024.3354443","title":"IEEE Industry Applications Society Information","year":2024,"lang":"en","type":"article","venue":"IEEE Open Journal of Industry Applications","topic":"Electrical Fault Detection and Protection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Business","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004196182,0.0001626243,0.0001838155,0.0001887825,0.0002164766,0.0004684863,0.0005063987,0.0007539024,0.0001736328],"category_scores_gemma":[0.000009844098,0.0001570251,0.0001438466,0.001351436,0.00003943582,0.00140727,0.000020925,0.002972493,0.0002402117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002330883,"about_ca_system_score_gemma":0.0001754901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008931654,"about_ca_topic_score_gemma":0.000001415025,"domain_scores_codex":[0.9987736,0.00002684026,0.0006353111,0.0001210677,0.0002393515,0.0002038303],"domain_scores_gemma":[0.9991452,0.00007410526,0.0001378152,0.0002402925,0.0002133935,0.0001891827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002349619,0.0001337801,0.0000711053,0.0003056007,0.000500944,0.000004049175,0.0004994433,0.05349082,0.02694104,0.002898801,0.1938924,0.7212385],"study_design_scores_gemma":[0.0002630255,0.00005671208,0.00006789161,0.00008525245,0.00006420088,0.0002729924,0.0002116391,0.009986347,0.02916248,0.001520577,0.9580669,0.0002419281],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01150335,0.0006555814,0.9621297,0.001703753,0.001092929,0.00187014,0.00006967079,0.0004536026,0.02052133],"genre_scores_gemma":[0.9912597,0.0003027738,0.003881472,0.0004161639,0.001706186,0.001256881,0.0000164645,0.00005409455,0.001106292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9797563,"threshold_uncertainty_score":0.9993277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01730989407294358,"score_gpt":0.2923850786785814,"score_spread":0.2750751846056378,"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."}}