{"id":"W2109595114","doi":"10.1109/igarss.2002.1026155","title":"InSAR end-to-end simulation environment","year":2003,"lang":"en","type":"article","venue":"","topic":"Spacecraft Design and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Interferometric synthetic aperture radar; End-to-end principle; Satellite; Computer science; Remote sensing; Tandem; Synthetic aperture radar; Systems engineering; Aerospace engineering; Engineering; Geology; Computer network","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":[0.0008675092,0.0009445961,0.0005561922,0.0005283243,0.0006257339,0.001382206,0.00182894,0.0009728025,0.01880364],"category_scores_gemma":[0.001407862,0.000633946,0.000542001,0.0005264439,0.0003514582,0.00102979,0.00116201,0.002094469,0.0152723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005129576,"about_ca_system_score_gemma":0.001227811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004804665,"about_ca_topic_score_gemma":0.009260849,"domain_scores_codex":[0.9994117,0.0001287489,0.00003027557,0.00005605763,0.0002933904,0.00007984198],"domain_scores_gemma":[0.9994987,0.0001477021,0.00003050622,0.00009925662,0.00016859,0.00005514883],"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":[0.0005227237,0.000466205,0.003238753,0.0003902087,0.0001723059,0.0004152037,0.0004357919,0.5675138,0.01966551,0.07780325,0.1868697,0.1425066],"study_design_scores_gemma":[0.000163661,0.0000844469,0.000442896,0.00003626488,0.00002610062,0.0001249962,0.00004175858,0.5561038,0.01379138,0.006470429,0.422664,0.00005033924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007072028,0.0002539854,0.8332244,0.0003727986,0.0002445997,0.0004887221,0.007694869,0.05830237,0.0923463],"genre_scores_gemma":[0.120563,0.001584428,0.7663508,0.0009229432,0.0001477188,0.001775326,0.03478336,0.01281315,0.06105918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01880364,"threshold_uncertainty_score":0.06290442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101318643970485,"score_gpt":0.1957320398991563,"score_spread":0.1856001755021078,"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."}}