{"id":"W2752132181","doi":"10.7901/2169-3358-2017.1.1230","title":"Oil plume simulations: Tracking oil droplet size distribution and fluorescence within high-pressure release jets","year":2017,"lang":"en","type":"article","venue":"International Oil Spill Conference Proceedings","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Dispersant; Plume; Environmental science; Oil droplet; Petroleum; BTEX; Petroleum engineering; Toluene; Environmental chemistry; Xylene; Chemistry; Dispersion (optics); Geology; Emulsion; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002712704,0.0002605405,0.000195239,0.00003669554,0.0007343965,0.0008273864,0.0006013325,0.0001530941,0.001177969],"category_scores_gemma":[0.001554198,0.0002604385,0.00005649942,0.00009170439,0.0004208286,0.00160677,0.0003131394,0.0002964416,0.0001407132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001836936,"about_ca_system_score_gemma":0.00002984274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000916984,"about_ca_topic_score_gemma":0.0002025356,"domain_scores_codex":[0.998004,0.00001399083,0.0003958335,0.0006170245,0.0006788649,0.0002902426],"domain_scores_gemma":[0.9987852,0.00005602392,0.0004982841,0.0002108508,0.0002547847,0.0001948523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003207252,0.0002452885,0.1355494,0.0001904486,0.0001273116,0.00002375193,0.002450946,0.0006996648,0.2010965,0.01973375,0.001328127,0.6382341],"study_design_scores_gemma":[0.003980179,0.0002575035,0.6776645,0.000967707,0.0001885355,0.0001178875,0.0006964639,0.2066634,0.04477756,0.007264691,0.05564207,0.001779572],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818089,0.00002031339,0.0001151614,0.00288476,0.0006479434,0.00003324808,0.0001222923,0.0001211121,0.01424629],"genre_scores_gemma":[0.9904506,0.0001480891,0.0007424419,0.0001933117,0.0001714394,0.0000324931,0.00005163892,0.00002114228,0.008188823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6364545,"threshold_uncertainty_score":0.9999848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491904089578102,"score_gpt":0.2479649382757574,"score_spread":0.2330458973799764,"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."}}