{"id":"W2545260553","doi":"10.1049/cp:20070483","title":"RADARSAT calibration operations at the Canadian Space Agency: maintaining RADARSAT-1 performance and preparations for RADARSAT-2","year":2007,"lang":"en","type":"article","venue":"","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Remote sensing; Calibration; Radiometric calibration; Computer science; Environmental science; Geography; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005042188,0.0006045737,0.0002580217,0.002083972,0.003240889,0.001560144,0.001505632,0.0004833171,0.003476423],"category_scores_gemma":[0.004586683,0.0003399429,0.0001953369,0.002626257,0.001055579,0.0009686,0.0007859729,0.001043325,0.001894828],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0185708,"about_ca_system_score_gemma":0.05788492,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8619854,"about_ca_topic_score_gemma":0.8939856,"domain_scores_codex":[0.9952513,0.0002343702,0.00007277886,0.0002957021,0.003633058,0.0005127813],"domain_scores_gemma":[0.988081,0.0002073827,0.0003961689,0.0004829784,0.01041652,0.0004160386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002952153,0.0001681481,0.02433488,0.0004194172,0.00004860752,0.000152676,0.002026909,0.00768551,0.06959601,0.008111887,0.1302214,0.7569394],"study_design_scores_gemma":[0.00008548658,0.000228815,0.2040212,0.0001990213,0.0000459791,0.0001917748,0.001193249,0.006324612,0.05344484,0.001374037,0.7327051,0.0001860441],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.331121,0.01719489,0.1324225,0.02544117,0.001942895,0.004121898,0.02576412,0.008671612,0.45332],"genre_scores_gemma":[0.6962402,0.007082498,0.1634629,0.003607239,0.0004361341,0.0005166061,0.02752711,0.001571091,0.09955619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9814292,"threshold_uncertainty_score":0.2776548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009834437955231522,"score_gpt":0.2316119102859014,"score_spread":0.2217774723306699,"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."}}