{"id":"W2899917600","doi":"10.1115/ipc2018-78013","title":"Near-Real-Time Seismic Monitoring for Pipelines","year":2018,"lang":"en","type":"article","venue":"Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Pipeline transport; Seismology; Seismic hazard; Geology; Earthquake scenario; Pipeline (software); Hazard; Fault (geology); Mitigation of seismic motion; Active fault; Epicenter; Engineering","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":[0.0003042354,0.00024396,0.0001506016,0.00112543,0.0002024734,0.0002427537,0.000410326,0.0003464406,0.00139587],"category_scores_gemma":[0.001278752,0.0001332725,0.0001367861,0.0009140426,0.0001185587,0.0007361643,0.0004115338,0.0001971465,0.0004395544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003546714,"about_ca_system_score_gemma":0.0003540011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003847746,"about_ca_topic_score_gemma":0.009858267,"domain_scores_codex":[0.9997174,0.00004227699,0.00001671468,0.00008751496,0.0001128223,0.00002318416],"domain_scores_gemma":[0.9995584,0.00005848359,0.0001494485,0.00005671149,0.0001120618,0.00006494796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004751439,0.0002946177,0.3775805,0.0004242179,0.0001263707,0.001024233,0.0008365616,0.1619188,0.08610503,0.002441861,0.01087615,0.3578965],"study_design_scores_gemma":[0.00003093751,0.0004589307,0.3674836,0.00005482479,0.00005154764,0.0007029529,0.0005356509,0.60475,0.01062198,0.00257784,0.01267081,0.0000608523],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8633693,0.0004388131,0.1158297,0.0005444498,0.00003947484,0.0001651243,0.006645045,0.002853682,0.01011434],"genre_scores_gemma":[0.9811948,0.0001445729,0.01638922,0.00001812061,0.00001805651,0.00002446354,0.001310494,0.00002067683,0.0008795443],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003847746,"threshold_uncertainty_score":0.007650733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008793305553754086,"score_gpt":0.2255528427006591,"score_spread":0.216759537146905,"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."}}