{"id":"W3120118732","doi":"10.1061/(asce)hy.1943-7900.0001858","title":"Dispersion of Oil Droplets in Rivers","year":2021,"lang":"en","type":"article","venue":"Journal of Hydraulic Engineering","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Bedford Institute of Oceanography","funders":"","keywords":"Oil droplet; Breakup; Dispersion (optics); Buoyancy; Entrainment (biomusicology); Plume; Mechanics; Weber number; Water column; Turbulence; Environmental science; Materials science; Chemistry; Meteorology; Geology; Physics; Optics","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":[0.0002044496,0.0002745714,0.0003948403,0.0003781356,0.0004291291,0.0005678475,0.0002960446,0.0006712651,0.0003529451],"category_scores_gemma":[0.0006531255,0.0002503194,0.0004841323,0.0003441615,0.0004544658,0.0004294991,0.0004069576,0.0002317259,0.00004761172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007937253,"about_ca_system_score_gemma":0.000430273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01041849,"about_ca_topic_score_gemma":0.004593301,"domain_scores_codex":[0.9999144,0.00001166684,0.000008105103,0.00002472475,0.00001437294,0.00002664672],"domain_scores_gemma":[0.9997868,0.0001016035,0.00004778012,0.00001114909,0.00003321509,0.00001945291],"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":[0.00009532128,0.00005025743,0.01456186,0.00004876685,0.00002343497,0.0003585313,0.00006815573,0.9474706,0.03279837,0.00135373,0.00006313018,0.003107937],"study_design_scores_gemma":[0.00002033255,0.0000734832,0.002947851,0.000004980059,0.00000995563,0.00004714205,0.00004520581,0.9917383,0.004636229,0.0003297827,0.0001353506,0.00001142217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924615,0.00008280929,0.006234993,0.0000346208,0.000003540429,0.00001182285,0.0000805463,0.00002803207,0.001062201],"genre_scores_gemma":[0.9978928,0.00004106896,0.001698366,0.000006297048,0.00000143279,0.000008769809,0.0000433115,0.000004620527,0.0003033191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01041849,"threshold_uncertainty_score":0.02071571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003448935448623847,"score_gpt":0.1807727766309499,"score_spread":0.1773238411823261,"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."}}