{"id":"W2001336394","doi":"10.1115/ipc2012-90473","title":"A GIS-Based System to Assess the Environmental Consequence of a Liquid Pipeline Rupture at Watercourse Crossings","year":2012,"lang":"en","type":"article","venue":"","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BGC Engineering (Canada)","funders":"National Oceanic and Atmospheric Administration","keywords":"Pipeline (software); Geographic information system; Vulnerability (computing); Computer science; Downstream (manufacturing); Field (mathematics); Engineering; Geography; Cartography; Computer security; Operations management","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":[0.001792548,0.0008099847,0.0005959186,0.008197783,0.0004276359,0.001500968,0.0008006567,0.0005807553,0.007442628],"category_scores_gemma":[0.003801979,0.0003392262,0.0005076073,0.00486008,0.0002892133,0.001442218,0.001081191,0.0004520583,0.0020545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112489,"about_ca_system_score_gemma":0.001191233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01525084,"about_ca_topic_score_gemma":0.01459294,"domain_scores_codex":[0.9989671,0.0001967836,0.0001540938,0.0002243959,0.000395112,0.00006249509],"domain_scores_gemma":[0.9966132,0.0007629712,0.0003772444,0.0003991203,0.001612581,0.0002349008],"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":[0.001248234,0.001026667,0.2972084,0.0008903792,0.0004444169,0.001464703,0.004043213,0.09136113,0.03447685,0.008304667,0.05994169,0.4995898],"study_design_scores_gemma":[0.0002910022,0.0008848752,0.2873179,0.000306053,0.0002993456,0.000713943,0.004194212,0.5551805,0.04463517,0.008265579,0.09748448,0.0004269272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4669331,0.000240442,0.2881192,0.0007251746,0.0001315429,0.003671268,0.1207895,0.07317592,0.04621394],"genre_scores_gemma":[0.6798528,0.0001896723,0.2758489,0.0001054155,0.00003458738,0.001671926,0.03620118,0.0005505749,0.005544808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01525084,"threshold_uncertainty_score":0.0303241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109245564357049,"score_gpt":0.2162940002921407,"score_spread":0.2052015446485703,"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."}}