{"id":"W2088373835","doi":"10.1115/ipc2002-27176","title":"Natural Hazard and Risk Management for Pipelines","year":2002,"lang":"en","type":"article","venue":"4th International Pipeline Conference, Parts A and B","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Hazard; Pipeline (software); Landslide; Pipeline transport; Natural hazard; Risk management; Hazard analysis; Risk analysis (engineering); Identification (biology); Risk assessment; Engineering; Natural (archaeology); Civil engineering; Environmental resource management; Environmental planning; Environmental science; Forensic engineering; Computer science; Geography; Business; Environmental engineering; Reliability engineering; Geotechnical engineering; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005416547,0.0001444102,0.0001274591,0.00007973025,0.00005514247,0.00009241694,0.000094618,0.0000510637,0.00007128649],"category_scores_gemma":[0.00002963865,0.0001232326,0.00003463854,0.00003495825,0.00003566978,0.00007477927,0.0000326386,0.0001208136,0.000004276926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000971568,"about_ca_system_score_gemma":0.000001355421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005816978,"about_ca_topic_score_gemma":0.00001608239,"domain_scores_codex":[0.9993836,0.000004587258,0.0001787651,0.0001710298,0.0001073788,0.0001546461],"domain_scores_gemma":[0.9997307,0.00004202639,0.00002300606,0.00008133198,0.00006029714,0.00006265477],"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":[0.00008065927,0.0001001744,0.002498256,0.0005272966,0.0006851103,0.00002757284,0.0004403993,0.03871071,0.0005066587,0.1933267,0.09669008,0.6664064],"study_design_scores_gemma":[0.0005196108,0.00001833157,0.001527322,0.00003039109,0.00002973025,0.00001420725,0.00002426238,0.8027297,0.00004692786,0.004588816,0.190293,0.0001777067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3280125,0.009738577,0.5717835,0.003130134,0.006503239,0.001181978,0.0003561827,0.001562121,0.07773184],"genre_scores_gemma":[0.9911609,0.002215703,0.002852436,0.00005030989,0.0002120481,0.00002804423,0.00002131536,0.0000136364,0.003445666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.764019,"threshold_uncertainty_score":0.5025282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413789940761267,"score_gpt":0.2210340014098077,"score_spread":0.206896102002195,"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."}}