{"id":"W2320685541","doi":"10.2514/6.2003-2820","title":"Canadian Experience on Radarsat 1 and Radarsat 2/GMTI for Surveillance","year":2003,"lang":"en","type":"article","venue":"AIAA International Air and Space Symposium and Exposition: The Next 100 Years","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Moving target indication; Remote sensing; Synthetic aperture radar; Computer science; Environmental science; Geology; Radar imaging; Radar; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006805929,0.0006702914,0.000392664,0.002096624,0.009122482,0.004347777,0.001639295,0.0011629,0.01461296],"category_scores_gemma":[0.008223962,0.0004682901,0.0005246188,0.006756078,0.002351085,0.001733775,0.002257001,0.002241156,0.001374114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09444666,"about_ca_system_score_gemma":0.2365993,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962005,"about_ca_topic_score_gemma":0.9983816,"domain_scores_codex":[0.992839,0.0005547855,0.000188283,0.0004675943,0.004630804,0.001319551],"domain_scores_gemma":[0.9854021,0.0006482129,0.0003668454,0.0002005622,0.01104819,0.002334036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008730937,0.000357995,0.06097464,0.001229193,0.0001578085,0.001629592,0.01658878,0.004337952,0.005480389,0.1002188,0.4112739,0.3968779],"study_design_scores_gemma":[0.00003146712,0.00007339541,0.03512888,0.0002243459,0.00004388872,0.000331643,0.005174256,0.0003720726,0.001049879,0.0007547559,0.9567384,0.00007700705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1499404,0.04511832,0.005528944,0.1517091,0.003658753,0.0003512737,0.006406595,0.0004104863,0.636876],"genre_scores_gemma":[0.6579863,0.07014677,0.01094369,0.01541643,0.0004486115,0.00008179474,0.00343035,0.0003694919,0.2411765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09444666,"threshold_uncertainty_score":0.6852617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00808445884110431,"score_gpt":0.2166105033220965,"score_spread":0.2085260444809922,"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."}}