{"id":"W2032706259","doi":"10.1109/radar.2013.6585990","title":"Sea surface oil slick detection from GNSS-R Delay-Doppler Maps using the spatial integration approach","year":2013,"lang":"en","type":"article","venue":"","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"GNSS applications; Remote sensing; Doppler effect; Computer science; Wind speed; Sampling (signal processing); Environmental science; Geodesy; Geology; Meteorology; Computer vision; Filter (signal processing); Global Positioning System; Geography; Physics; Telecommunications","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":[0.0001545852,0.000133219,0.00008135601,0.00001728786,0.0002851602,0.0001157258,0.0001250741,0.00009261791,0.004466659],"category_scores_gemma":[0.00001582318,0.00008971195,0.00005321365,0.0001976881,0.00009403611,0.0004521712,0.00005135422,0.0001604327,0.001163606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001812672,"about_ca_system_score_gemma":0.000005181314,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06735667,"about_ca_topic_score_gemma":0.0054659,"domain_scores_codex":[0.9989718,0.00009940747,0.0001851787,0.0002854026,0.0002757979,0.0001824449],"domain_scores_gemma":[0.9995859,0.00002867048,0.00007712452,0.0002208231,0.00001794938,0.00006949036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000174764,0.00007469896,0.005324169,0.000003220249,0.00001695231,3.594745e-7,0.0007054023,0.0183607,0.6350693,0.00002983268,0.001947355,0.3384505],"study_design_scores_gemma":[0.0003662531,0.00004424589,0.03398863,0.000005649297,0.0000255415,0.00001727272,0.0008568555,0.8025441,0.1583789,0.0006569956,0.002832366,0.0002831925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8252711,0.000006697131,0.1597621,0.0001542657,0.0002492962,0.0001522655,0.000004136192,0.00008259343,0.01431753],"genre_scores_gemma":[0.9924114,0.000009517948,0.005393322,0.0002964767,0.00009392753,0.00002290771,0.00002877323,0.00001465422,0.001728988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7841834,"threshold_uncertainty_score":0.9996141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01405929505893331,"score_gpt":0.2039773200362088,"score_spread":0.1899180249772755,"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."}}