{"id":"W2083361563","doi":"10.1016/s0025-326x(03)00203-0","title":"Development of airborne oil thickness measurements","year":2003,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Remote sensing; Oil spill; Racing slick; Ultrasonic sensor; Oil well; System of measurement; Petroleum engineering; Oil field; Laser; Dispersant; Measure (data warehouse); Marine engineering; Acoustics; Geology; Optics; Dispersion (optics); Computer science; Engineering; Environmental engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004741642,0.00009277531,0.0000888637,0.00003404163,0.000118592,0.000007544316,0.00007320148,0.00004664178,0.01740029],"category_scores_gemma":[0.00008433179,0.00009049996,0.00003249881,0.0001678132,0.00006248969,0.00003015058,0.00006965883,0.00006191688,0.00141782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001592377,"about_ca_system_score_gemma":0.00001722116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001091644,"about_ca_topic_score_gemma":0.0001427872,"domain_scores_codex":[0.9990321,0.00006432404,0.0002472982,0.0001754912,0.0003245266,0.0001562817],"domain_scores_gemma":[0.9996948,0.000005154966,0.00009216258,0.0001294351,0.0000154514,0.00006295506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006910872,0.0004935451,0.03399747,0.00005708489,0.00004211268,0.00000225267,0.0007943617,0.0006963285,0.1252776,0.001619103,0.0083504,0.8286006],"study_design_scores_gemma":[0.0005225994,0.00001883797,0.117458,0.00001011051,0.000006977041,0.00000744632,0.00005597169,0.0000149812,0.1035632,0.00009350465,0.7780989,0.0001493732],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6177011,0.0000170299,0.002203042,0.001080787,0.000356969,0.0001061736,0.000001606162,0.00008468311,0.3784486],"genre_scores_gemma":[0.9727908,0.000005336823,0.0190259,0.0002754704,0.00001011964,0.00001768048,0.000004590398,0.000009247943,0.007860898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8284513,"threshold_uncertainty_score":0.9993597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776912241066467,"score_gpt":0.2113267966000447,"score_spread":0.19355767418938,"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."}}