{"id":"W2331080757","doi":"10.1021/es302497c","title":"Dynamically Coupled 3D Pollutant Dispersion Model for Assessing Produced Water Discharges in the Canadian Offshore Area","year":2012,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada; Concordia University","funders":"","keywords":"Environmental science; Submarine pipeline; Pollutant; Plume; Dispersion (optics); Wastewater; Environmental engineering; Petroleum engineering; Marine engineering; Hydrology (agriculture); Geology; Geotechnical engineering; Engineering; Meteorology; Chemistry","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":[0.0008000886,0.000149353,0.0001061244,0.0002280275,0.0008082358,0.00006115211,0.0005054654,0.0001241436,0.0002646161],"category_scores_gemma":[0.00003885505,0.00009441097,0.00003436102,0.0004554974,0.001415065,0.0006960533,0.0001652018,0.0001928256,0.0001021422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001292724,"about_ca_system_score_gemma":0.0000264492,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001495744,"about_ca_topic_score_gemma":0.01820757,"domain_scores_codex":[0.9981956,0.00002084566,0.0001811857,0.0004072993,0.0003790194,0.0008160291],"domain_scores_gemma":[0.9994892,0.00001043776,0.00004525501,0.0003012712,0.0000019461,0.0001518945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006855973,0.0001304155,0.1385705,0.000001892031,0.000001843105,0.000001346535,0.001314889,0.001762042,0.8442951,0.0002011619,0.00002049735,0.01369339],"study_design_scores_gemma":[0.0005097202,0.0001260856,0.2807153,0.00001661146,0.0000256508,0.00006227344,0.002756944,0.5969563,0.1140482,0.001316973,0.002876438,0.000589482],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937087,0.00001724324,0.001298239,0.003788746,0.0001139516,0.0005071996,0.00001568438,0.00003747609,0.0005127356],"genre_scores_gemma":[0.998185,0.000007416396,0.00121872,0.0003258738,0.00001503767,0.0001021988,0.00001737523,0.00001116924,0.0001171844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7302469,"threshold_uncertainty_score":0.9997076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00969731389556458,"score_gpt":0.2243711706068708,"score_spread":0.2146738567113062,"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."}}