{"id":"W4409499310","doi":"10.5006/c2022-17949","title":"Challenges of Mitigating AC Interference Risks in a 107 Km Multi-Pipeline Corridor","year":2022,"lang":"en","type":"article","venue":"","topic":"Electrical Fault Detection and Protection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada); Cochrane","funders":"","keywords":"Pipeline (software); Interference (communication); Computer science; Environmental science; Electromagnetic interference; Pipeline transport; Telecommunications; Environmental engineering; Operating system; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001803811,0.00007400326,0.000114629,0.0001323075,0.00003623846,0.000004214019,0.00007954741,0.00003414732,0.0002602053],"category_scores_gemma":[0.00005834742,0.00007684712,0.00003139702,0.0002852067,0.000008021142,0.00003900984,0.00003419411,0.0003446317,0.000007759815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006741911,"about_ca_system_score_gemma":0.000005681012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002103539,"about_ca_topic_score_gemma":0.000334717,"domain_scores_codex":[0.9994111,0.00005038933,0.0002079715,0.0001133344,0.00008893783,0.0001282504],"domain_scores_gemma":[0.9997907,0.00005144799,0.00002498331,0.00008819663,0.00001710553,0.00002754314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005361702,0.0001551441,0.0005607145,0.000156399,0.00002070716,0.000006167996,0.001276171,0.05713902,0.07862129,0.0002811676,0.0001557129,0.8615739],"study_design_scores_gemma":[0.0007500426,0.0001797402,0.003265955,0.00002930173,0.000003952987,0.00001477813,0.0008603861,0.9006674,0.09282531,0.000187087,0.001032829,0.0001831875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.912255,0.002557669,0.06704108,0.000361706,0.0008319589,0.0005528596,0.00001527155,0.0007635293,0.01562091],"genre_scores_gemma":[0.9988639,0.000114009,0.000760557,0.00002133655,0.00001911843,0.00006723773,0.000001491546,0.00001204688,0.0001403446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8613907,"threshold_uncertainty_score":0.3133735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06956949964270213,"score_gpt":0.2957967583049945,"score_spread":0.2262272586622923,"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."}}