{"id":"W3021184109","doi":"10.5006/c2007-07652","title":"Recent Advances in the Modeling and Mitigation of AC Interference in Pipelines","year":2007,"lang":"en","type":"article","venue":"","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safe Engineering Services & Technologies (Canada)","funders":"","keywords":"Pipeline transport; Interference (communication); Materials science; Computer science; Environmental science; Engineering; Electrical engineering; Environmental engineering; Channel (broadcasting)","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":[0.0004747273,0.000852925,0.0007262978,0.0005475894,0.0002771578,0.0009308068,0.001333595,0.000880892,0.001752371],"category_scores_gemma":[0.001121004,0.0004174739,0.0006112008,0.0009471898,0.0006131221,0.001267375,0.0004765107,0.0006036665,0.0004948343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005914569,"about_ca_system_score_gemma":0.0006783017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0112966,"about_ca_topic_score_gemma":0.006179391,"domain_scores_codex":[0.9997829,0.00006668422,0.0000130892,0.00003115145,0.00008039058,0.00002574287],"domain_scores_gemma":[0.9996093,0.000162474,0.00006370041,0.00004364246,0.0001009036,0.0000199169],"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":[0.00001788153,0.00001648614,0.0007134815,0.00006882387,0.00001294533,0.00004664274,0.00003216779,0.9748963,0.001954829,0.003156802,0.0002662544,0.01881747],"study_design_scores_gemma":[0.000002317099,0.00001210327,0.0001568483,0.000004796492,0.000004362527,0.00001475075,0.000006788255,0.9961295,0.0004006496,0.001301336,0.001961825,0.000004687857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04315059,0.003050914,0.9369667,0.0004689969,0.00007712629,0.00003396832,0.0001344128,0.001047475,0.01506982],"genre_scores_gemma":[0.8864753,0.007509962,0.09662405,0.00007960404,0.0002549998,0.00006338525,0.0002183354,0.0002095338,0.008564826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0112966,"threshold_uncertainty_score":0.02246171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007047971068018,"score_gpt":0.2552607080878447,"score_spread":0.2451902283771645,"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."}}