{"id":"W1861613462","doi":"10.1109/ccece.1996.548028","title":"RADARSAT: image quality management and performance results","year":2002,"lang":"en","type":"article","venue":"","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Calibration; Remote sensing; Satellite; Computer science; Synthetic aperture radar; Earth observation; Earth observation satellite; Workstation; Geography; Engineering; Aerospace engineering","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":[0.003200216,0.0006201888,0.0003040249,0.001433815,0.000353502,0.0009001924,0.0006915755,0.0003436076,0.005152941],"category_scores_gemma":[0.003874143,0.0001290325,0.0001938923,0.001584389,0.000183659,0.0005984725,0.0004195605,0.0002801146,0.002906479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457892,"about_ca_system_score_gemma":0.0007658004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03077726,"about_ca_topic_score_gemma":0.01313834,"domain_scores_codex":[0.9977195,0.000298362,0.00008217086,0.0001602195,0.00156642,0.0001733306],"domain_scores_gemma":[0.9974383,0.000196572,0.0001838444,0.0002600841,0.001834758,0.00008634503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002115766,0.001138119,0.09742134,0.0005711231,0.0003057025,0.0002449661,0.0002964369,0.1380186,0.04079673,0.007859203,0.1466427,0.5645893],"study_design_scores_gemma":[0.0004200643,0.001402342,0.3697333,0.0001191381,0.0002183019,0.0006008247,0.0003402855,0.3526624,0.1468021,0.004035831,0.1234395,0.0002259012],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4880888,0.004528649,0.220045,0.00196311,0.0002886915,0.001367133,0.09716154,0.02919818,0.1573589],"genre_scores_gemma":[0.8093898,0.000895533,0.06381063,0.0002472536,0.0001351994,0.0002376108,0.1065236,0.001579125,0.01718123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03077726,"threshold_uncertainty_score":0.06119621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421954719646396,"score_gpt":0.2217234349749141,"score_spread":0.2075038877784501,"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."}}