{"id":"W4403585684","doi":"10.48550/arxiv.2409.02155","title":"Target Detection in Sea Clutter with Application to Spaceborne SAR Imaging","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clutter; Remote sensing; Computer science; Geology; Radar; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006131229,0.0006155079,0.0004558242,0.0006202718,0.0002494329,0.0006320302,0.0003615067,0.000679907,0.0003960457],"category_scores_gemma":[0.002186716,0.0001743439,0.0003108356,0.001143545,0.0006048108,0.0005756683,0.0005855151,0.000420664,0.0001830706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002391728,"about_ca_system_score_gemma":0.0002462331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001030383,"about_ca_topic_score_gemma":0.000694739,"domain_scores_codex":[0.9996941,0.00008998244,0.00001165459,0.00006494272,0.0001168747,0.00002236043],"domain_scores_gemma":[0.999155,0.0005631494,0.00008630627,0.00005186627,0.0001217298,0.00002191395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001913185,0.00007795443,0.005420125,0.0002221702,0.00007703814,0.0009281614,0.000338037,0.5380152,0.1034362,0.02062338,0.0008412689,0.3298292],"study_design_scores_gemma":[0.000004815542,0.00008831307,0.001380815,0.000008250125,0.00001383392,0.0005106352,0.00004663497,0.9758109,0.01295527,0.008063643,0.001099495,0.00001743682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07351098,0.001580073,0.9232431,0.0001905251,0.00004042592,0.00001049261,0.00002068769,0.0003174445,0.001086307],"genre_scores_gemma":[0.8018199,0.001791765,0.1944001,0.0001299393,0.00008649901,0.00001363228,0.0000635682,0.00005801722,0.001636638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001030383,"threshold_uncertainty_score":0.003242552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599552435806063,"score_gpt":0.1553468342262299,"score_spread":0.1393513098681693,"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."}}