{"id":"W2119456667","doi":"10.1109/joe.2004.828548","title":"X-Band Sea-Clutter Nonstationarity: Influence of Long Waves","year":2004,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clutter; Geology; Radar; Remote sensing; Swell; Amplitude; Radar horizon; Radar imaging; Acoustics; Continuous-wave radar; Physics; Computer science; Optics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002140154,0.0001014308,0.0001923514,0.0001415301,0.0000365066,0.000024858,0.0001246514,0.00004602535,0.00002619361],"category_scores_gemma":[0.00004639855,0.00008101968,0.00008533533,0.0001529789,0.00003287345,0.0003146657,0.000002589855,0.0002056109,0.000006008822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001026914,"about_ca_system_score_gemma":0.00006928808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004240486,"about_ca_topic_score_gemma":0.00001086065,"domain_scores_codex":[0.9991025,0.000009873092,0.0003714125,0.00007492294,0.0002634529,0.0001778777],"domain_scores_gemma":[0.9994634,0.00007331282,0.0001842407,0.00007677088,0.0001014151,0.0001007985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00001236468,0.00000972661,0.01016245,0.00004749833,0.00003594974,0.000123049,0.0002109016,0.985535,0.002152419,0.000008468251,0.00001510099,0.001687072],"study_design_scores_gemma":[0.001215064,0.0004107609,0.920288,0.0008824239,0.00007122308,0.001876159,0.0001315772,0.04253488,0.03166758,0.0004197165,0.0001489265,0.0003536807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964713,0.0003987958,0.00239903,0.00009876869,0.0004090655,0.00003233759,0.000006310559,0.000008244481,0.0001761009],"genre_scores_gemma":[0.9952407,0.00008960465,0.004407935,0.00004039878,0.0002047889,6.79118e-10,0.000001363348,0.000004813265,0.0000103759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9430001,"threshold_uncertainty_score":0.3303887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005954592622817126,"score_gpt":0.1883671297624797,"score_spread":0.1824125371396626,"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."}}