{"id":"W2120407510","doi":"10.1049/ip-rsn:20045089","title":"X-band experimental airborne radar – Phase II: synthetic aperture radar and ground moving target indication","year":2006,"lang":"en","type":"article","venue":"IEE Proceedings - Radar Sonar and Navigation","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada); Department of National Defence; Defence Research and Development Canada","funders":"","keywords":"Moving target indication; Synthetic aperture radar; Remote sensing; Computer science; Inverse synthetic aperture radar; Clutter; Radar; Radar imaging; Bistatic radar; Continuous-wave radar; Geology; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000261358,0.0003399024,0.0003191672,0.000137093,0.0005642642,0.0002509878,0.0001016515,0.0002005572,0.00001444831],"category_scores_gemma":[0.00001293935,0.0003368729,0.00004945676,0.0002434623,0.0001057222,0.0009189595,0.0000263081,0.0002498889,0.000003354596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001173738,"about_ca_system_score_gemma":0.00002158538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006932925,"about_ca_topic_score_gemma":0.000001384556,"domain_scores_codex":[0.9984344,0.00001159288,0.0004302277,0.0004306338,0.0003517805,0.0003413889],"domain_scores_gemma":[0.9995445,0.00003657003,0.0001442835,0.00007896488,0.00006535746,0.0001303035],"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":[0.00008657015,0.0002447088,0.0003710421,0.0007955066,0.00006114355,0.00001474976,0.00362149,0.0000301285,0.9660081,0.001725753,0.001626784,0.02541402],"study_design_scores_gemma":[0.008768346,0.00148342,0.004078971,0.002055317,0.0002317065,0.001077826,0.005454627,0.04987373,0.8706855,0.006029115,0.04745891,0.002802493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983926,0.01184254,0.001983806,0.0001507604,0.0001534028,0.0003741172,0.00002314223,0.0002946391,0.001251573],"genre_scores_gemma":[0.9965246,0.0000754548,0.002723673,0.00003474459,0.0003687606,0.00003166949,0.00008347036,0.00006870261,0.0000889724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09532256,"threshold_uncertainty_score":0.9999083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005808105156493684,"score_gpt":0.2150699970595407,"score_spread":0.2092618919030471,"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."}}