{"id":"W2979798179","doi":"10.1109/oceanse.2019.8867441","title":"Speckle Noise Pedestal In The Spectra Of SAR Imagery Of The Ocean","year":2019,"lang":"en","type":"article","venue":"OCEANS 2019 - Marseille","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Synthetic aperture radar; Speckle pattern; Geology; Speckle noise; Optics; Noise (video); Pedestal; Wind wave; Radar imaging; Spectral line; Physics; Backscatter (email); Remote sensing; Geodesy; Radar; Image (mathematics); Geography; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000419956,0.0001351887,0.0002271578,0.00007073092,0.00005981203,0.00002254595,0.0004159301,0.00005880012,0.0006553102],"category_scores_gemma":[0.00002536908,0.00007170164,0.0001496269,0.0003267772,0.0001682233,0.0001128797,0.00002751055,0.0001961949,0.0001055565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004152183,"about_ca_system_score_gemma":0.00006561295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00119189,"about_ca_topic_score_gemma":0.0002421223,"domain_scores_codex":[0.9988015,0.0001119436,0.0002946465,0.0001976309,0.0003199941,0.0002742559],"domain_scores_gemma":[0.9991465,0.0001617489,0.0001544726,0.0004732392,0.0000289501,0.00003510215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001159639,0.0001382845,0.9621529,0.0001383271,0.00003867768,0.00002866937,0.002610325,0.005332035,0.001633407,0.000343717,0.01953891,0.00792877],"study_design_scores_gemma":[0.0006554135,0.0001951865,0.9708132,0.0001150238,0.00002893614,0.00006426485,0.002789822,0.0127408,0.001673257,0.0007669457,0.009881183,0.0002759495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9424313,0.0002827414,0.000002408357,0.0004325792,0.0004393047,0.0002500592,0.00007421936,0.000007093345,0.05608034],"genre_scores_gemma":[0.9966924,0.00007142403,0.0002846807,0.0001493555,0.00008557828,1.229264e-9,0.00001839258,0.000006083676,0.002692138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05426109,"threshold_uncertainty_score":0.7175187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005636021170735207,"score_gpt":0.1828951051852538,"score_spread":0.1772590840145186,"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."}}