{"id":"W4403513687","doi":"10.5194/egusphere-2024-2779","title":"Characterization of surface clutter signal in presence of orography for a spaceborne conically scanning W-band Doppler radar","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Advanced SAR Imaging Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Agenzia Spaziale Italiana; European Space Agency","keywords":"Clutter; Orography; Doppler effect; Geology; Doppler radar; Remote sensing; Radar; Characterization (materials science); SIGNAL (programming language); Optics; Physics; Meteorology; Computer science; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000265897,0.0002478217,0.0004739813,0.0002319576,0.000007507406,0.0000245877,0.0002501932,0.0001927334,0.00002822993],"category_scores_gemma":[0.00002752083,0.0002530989,0.0001348821,0.0002197101,0.00008320165,0.00007946488,0.0002176882,0.0004181763,6.680212e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004900943,"about_ca_system_score_gemma":0.00005048668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004695611,"about_ca_topic_score_gemma":0.00002105711,"domain_scores_codex":[0.998723,0.00002405945,0.0005422483,0.000320609,0.0001686026,0.0002215241],"domain_scores_gemma":[0.999277,0.0001169824,0.0001242632,0.000333264,0.000114339,0.00003413542],"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":[0.00004783313,0.00003169904,0.001065704,0.002954262,0.0001023744,0.000004260075,0.0003638057,0.02003017,0.9731364,0.0005087131,0.0005395646,0.001215233],"study_design_scores_gemma":[0.0003790721,0.00005414887,0.001325549,0.002370084,0.00005803366,0.000003621343,0.00001981608,0.08222883,0.9012633,0.01125215,0.0005461736,0.0004992324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4413885,0.0004357247,0.5550945,0.0001711146,0.0002024921,0.001249551,0.0002380305,0.0005582077,0.0006618685],"genre_scores_gemma":[0.843409,0.0001007466,0.1561752,0.00001232962,0.00002790354,0.00008004856,0.00008115859,0.00006875024,0.00004485224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4020204,"threshold_uncertainty_score":0.9999921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328334365227148,"score_gpt":0.2636611510277713,"score_spread":0.2503778073754999,"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."}}