{"id":"W2997214773","doi":"","title":"Radarsat-1 calibration and image quality evolution to the extended mission","year":2004,"lang":"en","type":"article","venue":"cosp","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Remote sensing; Radiometric calibration; Synthetic aperture radar; Calibration; Radiometry; Satellite; Spacecraft; Data processing; Environmental science; Radar; Data quality; Computer science; Engineering; Geography; Telecommunications; Database; 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":[0.001982935,0.0003160422,0.0002227795,0.0003443075,0.0002356961,0.0005125136,0.0005420243,0.0003633652,0.00103565],"category_scores_gemma":[0.004467298,0.0001427092,0.0001829624,0.0006413864,0.0003931273,0.0006576436,0.0005536621,0.0004694719,0.0002831152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008597432,"about_ca_system_score_gemma":0.0002755683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01172709,"about_ca_topic_score_gemma":0.007082322,"domain_scores_codex":[0.9987501,0.0001808213,0.00002782499,0.000237635,0.0007152479,0.00008841449],"domain_scores_gemma":[0.9971505,0.000511898,0.0003496562,0.0002839224,0.001615995,0.00008801499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00226812,0.0006978233,0.1665371,0.0004335897,0.0002373106,0.0003177429,0.001053298,0.09167697,0.4337947,0.001168002,0.002995114,0.2988203],"study_design_scores_gemma":[0.0001244116,0.003509998,0.6033161,0.00006083065,0.000138707,0.0005708274,0.0004296663,0.1451085,0.2353049,0.0006799134,0.01063265,0.00012355],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834226,0.0007537908,0.01098799,0.00009889639,0.00002902299,0.00009142914,0.0004752213,0.000240963,0.003900002],"genre_scores_gemma":[0.9943455,0.0001557745,0.004004759,0.00004794909,0.000008788915,0.00001301864,0.0005840314,0.00004404166,0.0007961896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01172709,"threshold_uncertainty_score":0.02331769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017092436231256,"score_gpt":0.2568344470173633,"score_spread":0.2466635226550507,"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."}}