{"id":"W2985534690","doi":"10.1109/igarss.2019.8898976","title":"Radarsat Constellation Mission","year":2019,"lang":"en","type":"article","venue":"","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Constellation; Remote sensing; Synthetic aperture radar; Satellite; Earth observation; Cloud computing; Space-based radar; Computer science; Satellite constellation; Systems engineering; Cloud cover; Radar; Environmental science; Radar imaging; Geography; Telecommunications; Engineering; Radar engineering details; 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":[0.0009171912,0.0007166076,0.0005977004,0.0009573468,0.0007206197,0.0009035966,0.0007641657,0.000543807,0.02142528],"category_scores_gemma":[0.001021743,0.0001242201,0.0001956074,0.001266121,0.0002530246,0.0007676135,0.00110009,0.0009409649,0.0216875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007396388,"about_ca_system_score_gemma":0.001436731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009248672,"about_ca_topic_score_gemma":0.006490695,"domain_scores_codex":[0.9994573,0.0001086918,0.00001789496,0.00008507055,0.000247343,0.00008376811],"domain_scores_gemma":[0.9994916,0.000037949,0.00003328146,0.0000743296,0.0002999076,0.00006295549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007043466,0.0001252896,0.004445948,0.0003458947,0.00007861084,0.000215064,0.0002293078,0.007663605,0.01770031,0.01542752,0.6319615,0.3211026],"study_design_scores_gemma":[0.0001107393,0.0001430125,0.003478726,0.0000616679,0.00002434933,0.0001752894,0.0000764436,0.0060974,0.003640467,0.003330717,0.9828246,0.00003670375],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04352336,0.009648379,0.1323083,0.00601633,0.003515362,0.001732175,0.1927061,0.02382158,0.5867286],"genre_scores_gemma":[0.2393576,0.006365176,0.1196566,0.003741976,0.001564551,0.001128203,0.5114536,0.002014539,0.1147178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02142528,"threshold_uncertainty_score":0.0716747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005299870968304007,"score_gpt":0.2011332403366152,"score_spread":0.1958333693683112,"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."}}