{"id":"W2734683950","doi":"10.1002/aic.15864","title":"Oil jet with dispersant: Macro‐scale hydrodynamics and tip streaming","year":2017,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography","funders":"","keywords":"Dispersant; Underwater; Petroleum engineering; Plume; Oil droplet; Oil spill; Jet (fluid); Environmental science; Jet fuel; Work (physics); Scale (ratio); Marine engineering; Mechanics; Dispersion (optics); Geology; Physics; Aerospace engineering; Engineering; Meteorology; Chemical engineering; Mechanical engineering; Optics; Oceanography","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":[],"consensus_categories":[],"category_scores_codex":[0.0001156816,0.0001415917,0.0001528645,0.00004249546,0.0003955029,0.0002795154,0.000170755,0.00006388625,0.00002937337],"category_scores_gemma":[0.000005194401,0.0001083445,0.00003736413,0.00002058218,0.00006458112,0.000239083,0.0000206849,0.0003479131,0.000006867444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003888131,"about_ca_system_score_gemma":0.00001421721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002796639,"about_ca_topic_score_gemma":0.0004682772,"domain_scores_codex":[0.9993749,0.00000653192,0.0001356757,0.00009976284,0.0001325341,0.00025054],"domain_scores_gemma":[0.9995756,0.00001457633,0.00002057698,0.0002199844,0.00002533994,0.0001439699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002611988,0.0002348799,0.5567582,0.0008208572,0.001246112,0.001241692,0.007157123,0.05567725,0.08223489,0.004914259,0.002401759,0.2870518],"study_design_scores_gemma":[0.001474691,0.0001159825,0.136489,0.0003035301,0.00009665939,0.0009248705,0.0001523422,0.856204,0.0002894642,0.000165168,0.003301722,0.0004825825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986101,0.0003306329,0.0034048,0.0002446657,0.0001588755,0.00001468023,0.00001153204,0.00003874863,0.00969503],"genre_scores_gemma":[0.9967301,0.001490652,0.001201582,0.00002036362,0.0001602515,0.000001181998,0.000002018877,0.00003692002,0.0003569414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8005267,"threshold_uncertainty_score":0.4418159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004382926377625582,"score_gpt":0.1917934682077914,"score_spread":0.1874105418301658,"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."}}