{"id":"W3123911411","doi":"10.3390/jmse9020126","title":"Microbubbles as Proxies for Oil Spill Delineation in Field Tests","year":2021,"lang":"en","type":"article","venue":"Journal of Marine Science and Engineering","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Fisheries and Oceans Canada","keywords":"Bubble; Environmental science; Underwater; Microbubbles; Plume; Sonar; Residence time (fluid dynamics); Petroleum engineering; Marine engineering; Geology; Meteorology; Acoustics; Oceanography; Mechanics; Geotechnical engineering; Ultrasound; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008647445,0.0006013208,0.0002819389,0.000633407,0.0003886137,0.0003426142,0.0005203553,0.0005352017,0.0006209183],"category_scores_gemma":[0.001504048,0.0001836014,0.0002205264,0.0003585769,0.0004047127,0.0005498252,0.0005279052,0.0005263228,0.0001525328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003542749,"about_ca_system_score_gemma":0.0003629534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002463326,"about_ca_topic_score_gemma":0.00374284,"domain_scores_codex":[0.99941,0.0001351126,0.00003327589,0.0001484975,0.0001962185,0.00007688162],"domain_scores_gemma":[0.9989335,0.0004137943,0.0002023302,0.00006109758,0.0003047204,0.00008456261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003515871,0.0003032563,0.002912368,0.0001725643,0.00001017158,0.00009712168,0.0001698659,0.001832989,0.9872409,0.0001777315,0.00008409831,0.006647524],"study_design_scores_gemma":[0.00002005566,0.002522827,0.002995549,0.00001167331,0.00002231542,0.0000561007,0.0001544681,0.006328868,0.9871103,0.00009426349,0.00066858,0.00001506915],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975668,0.0004727094,0.02243394,0.00007150184,0.00004426907,0.0002300539,0.0002466528,0.0001815764,0.000651299],"genre_scores_gemma":[0.9650409,0.0004877281,0.03216158,0.00006495049,0.00001486246,0.0002896427,0.0002343749,0.00003408286,0.001671942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002463326,"threshold_uncertainty_score":0.004898012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00522115855435981,"score_gpt":0.2145087338357252,"score_spread":0.2092875752813654,"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."}}