{"id":"W2112164592","doi":"10.1109/igarss.2006.823","title":"Design and Testing of a Java-based Digital SAR Signal Simulation System","year":2006,"lang":"en","type":"article","venue":"","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Clutter; Computer science; Monte Carlo method; SIGNAL (programming language); Scattering; Algorithm; Synthetic aperture radar; Computer vision; Artificial intelligence; Optics; Physics; Radar; Mathematics; Statistics; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001724129,0.000712806,0.0005730639,0.0005654325,0.0002410466,0.0008320215,0.001964375,0.0004919872,0.004521769],"category_scores_gemma":[0.003510289,0.0003549358,0.0003127538,0.0002245996,0.0003654399,0.0007436844,0.0005170984,0.0005702489,0.0009400813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00050481,"about_ca_system_score_gemma":0.0008674465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001859854,"about_ca_topic_score_gemma":0.0009713429,"domain_scores_codex":[0.9991722,0.0002597247,0.00009595134,0.0001313289,0.0002638764,0.00007689508],"domain_scores_gemma":[0.9978569,0.0008808386,0.0002004068,0.0003258817,0.0005301374,0.0002057273],"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":[0.002806778,0.001868835,0.01569124,0.0008366076,0.000343523,0.0007671673,0.0006970988,0.5676281,0.1619346,0.01258636,0.006689766,0.2281499],"study_design_scores_gemma":[0.0002370098,0.0004576942,0.00107319,0.0000234781,0.00005376963,0.0000957178,0.00002954259,0.9564054,0.0349775,0.0006466467,0.00597075,0.00002916448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2132317,0.0001662056,0.7432871,0.0002472039,0.0001676361,0.001069647,0.0005952131,0.0345733,0.006661889],"genre_scores_gemma":[0.7424533,0.0001466498,0.2498745,0.0002230292,0.00002262204,0.0009198248,0.0009657583,0.001324453,0.00406973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004521769,"threshold_uncertainty_score":0.01512676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241536081197265,"score_gpt":0.2002321425318467,"score_spread":0.187816781719874,"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."}}