{"id":"W2899801267","doi":"10.1115/ipc2018-78372","title":"Using 2D and 3D Oil Spill Trajectory and Fate Models to Assess the Risk of Accidental Crude Oil Releases Along the Enbridge Line 3 Replacement Program Pipeline","year":2018,"lang":"en","type":"article","venue":"","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Trajectory; Sediment; Shore; Environmental impact assessment; Accidental; Pipeline transport; Crude oil; Pipeline (software); Fossil fuel; Contamination; Petroleum; Environmental engineering; Petroleum engineering; Hydrology (agriculture); Waste management; Geology; Oceanography; Engineering; Geotechnical engineering; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005080238,0.000647055,0.0003424524,0.0006611966,0.0004714534,0.0009698111,0.0005594768,0.0009218494,0.001046587],"category_scores_gemma":[0.001082326,0.0004332291,0.0009954476,0.0004524101,0.0003537658,0.0005322336,0.0006655511,0.0004877981,0.0001523734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486633,"about_ca_system_score_gemma":0.001991449,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09299402,"about_ca_topic_score_gemma":0.0478758,"domain_scores_codex":[0.9998524,0.00004229633,0.00001024932,0.00002875249,0.00003746368,0.00002885864],"domain_scores_gemma":[0.999419,0.0003141066,0.000101197,0.00003217706,0.00009268781,0.00004095189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001573005,0.00001469936,0.00184362,0.000004602246,0.000006552923,0.0000209477,0.000009906401,0.9970337,0.0001935218,0.0002490275,0.00003521445,0.0005724411],"study_design_scores_gemma":[0.000003355637,0.00001454142,0.0003270223,0.000001218448,0.000003261707,0.000004240612,0.000009649891,0.999347,0.0001163049,0.0001007873,0.00006854447,0.000004011705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9377373,0.0001225225,0.05116662,0.0002625789,0.00002594736,0.0001344264,0.001282657,0.0002742319,0.008993735],"genre_scores_gemma":[0.9856079,0.0001404784,0.01104935,0.00003423908,0.000005580797,0.00009241566,0.0006098655,0.00002376302,0.002436455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.907006,"threshold_uncertainty_score":0.1849055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04321921047016829,"score_gpt":0.2891477270914209,"score_spread":0.2459285166212526,"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."}}