{"id":"W2185908780","doi":"","title":"GEOMATICS WITH RADARSAT IMAGERY","year":2009,"lang":"en","type":"article","venue":"","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Remote sensing; Synthetic aperture radar; Geomatics; Digital elevation model; Scale (ratio); Radar imaging; Satellite imagery; Radar; Satellite; Geography; Geology; Computer science; Cartography; Engineering","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":[0.0002190207,0.0003604471,0.0001585405,0.001123845,0.0001353272,0.0007668929,0.0003580639,0.0002692935,0.008414927],"category_scores_gemma":[0.0007618099,0.0001361982,0.0002885498,0.001188337,0.0001478244,0.0006258382,0.0007655217,0.0003063868,0.005510748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002115019,"about_ca_system_score_gemma":0.0003016574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003080784,"about_ca_topic_score_gemma":0.003141958,"domain_scores_codex":[0.9998259,0.00004036857,0.00001030181,0.00003259857,0.0000760961,0.0000148523],"domain_scores_gemma":[0.9997882,0.00002651611,0.00002877973,0.00009234076,0.0000557137,0.000008610327],"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":[0.0002266966,0.0001324811,0.01359993,0.0003642996,0.0001575898,0.000559206,0.0002523444,0.07228187,0.03188556,0.02563864,0.05733748,0.7975639],"study_design_scores_gemma":[0.0001417504,0.0002457018,0.04333331,0.0001658669,0.000133669,0.001671302,0.0004339612,0.3937269,0.05452298,0.03734048,0.468201,0.0000830928],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.118752,0.002333476,0.6613715,0.001592752,0.000725418,0.0005180538,0.02892784,0.02468728,0.1610916],"genre_scores_gemma":[0.5367857,0.001861985,0.4043073,0.0008257656,0.0003310118,0.0003527731,0.02974841,0.0006883887,0.02509877],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008414927,"threshold_uncertainty_score":0.02815074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004662545814353691,"score_gpt":0.1875228088755616,"score_spread":0.1828602630612079,"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."}}