{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005169346,0.0007285446,0.0003246565,0.002793735,0.001487543,0.003291013,0.001425533,0.0008894742,0.00545525],"category_scores_gemma":[0.0103292,0.0002555177,0.0004836044,0.001389791,0.001497311,0.002951059,0.002360828,0.0008459956,0.0007965751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003569978,"about_ca_system_score_gemma":0.006798385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01146792,"about_ca_topic_score_gemma":0.01212517,"domain_scores_codex":[0.9955164,0.001507827,0.0003287599,0.0002755464,0.002174289,0.0001973539],"domain_scores_gemma":[0.9956942,0.001221968,0.0007853542,0.0003187813,0.001774922,0.0002047059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001206184,0.0001948899,0.01333186,0.0006540094,0.00006916265,0.0005115348,0.002386705,0.1348453,0.004008523,0.2624517,0.03044759,0.5509781],"study_design_scores_gemma":[0.0000483058,0.0004450311,0.01883677,0.0006974285,0.0000678604,0.0008558003,0.004954001,0.2637341,0.005321235,0.4096979,0.2951853,0.0001563418],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.05172665,0.004549531,0.8157216,0.008279717,0.0002881951,0.001254191,0.0005867528,0.001283014,0.1163104],"genre_scores_gemma":[0.5597652,0.004584323,0.3932884,0.0003407761,0.0003208401,0.0006347178,0.000892592,0.0001477301,0.04002545],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01146792,"threshold_uncertainty_score":0.02733845,"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."}}