{"id":"W4409497735","doi":"10.5006/c2025-00117","title":"AC Interference and Mitigation at Pipeline Facilities – Case Study","year":2025,"lang":"en","type":"article","venue":"","topic":"Electrical Fault Detection and Protection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interference (communication); Pipeline (software); Computer science; Pipeline transport; Telecommunications; Environmental science; Operating system; Environmental engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006753847,0.0005132181,0.0003008016,0.0006888752,0.0009356433,0.000673886,0.0009973239,0.001085468,0.002059645],"category_scores_gemma":[0.001042793,0.0002310361,0.0004291747,0.0009347056,0.0005806485,0.0003803123,0.0004090438,0.0003642836,0.000238879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002483273,"about_ca_system_score_gemma":0.001470585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08110669,"about_ca_topic_score_gemma":0.1056319,"domain_scores_codex":[0.9994185,0.0001733868,0.00001568396,0.00004796117,0.0001861883,0.0001582656],"domain_scores_gemma":[0.9991894,0.0003587768,0.00008691569,0.0000690578,0.0002121018,0.00008362212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"case_report","study_design_scores_codex":[0.000961056,0.001291215,0.03762478,0.000379087,0.00009661069,0.01092243,0.0009257686,0.8742012,0.03114632,0.003213943,0.002050743,0.03718676],"study_design_scores_gemma":[0.0005637464,0.006933204,0.09203992,0.00008730238,0.000242406,0.002743361,0.007482764,0.8028995,0.07062342,0.001992044,0.01422618,0.0001662858],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881971,0.0000405585,0.005974717,0.00005857084,0.000005777494,0.0001183849,0.0001439228,0.00007383966,0.005387148],"genre_scores_gemma":[0.9966184,0.00002975592,0.001966456,0.000005542825,0.000002138336,0.00001958722,0.00005029601,0.000003799553,0.001304021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08110669,"threshold_uncertainty_score":0.1612692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009782493103272949,"score_gpt":0.2472954786066717,"score_spread":0.2375129855033987,"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."}}