{"id":"W1525157036","doi":"10.22564/rbgf.v32i3.499","title":"GENERATION AND EVALUATION OF RADARGRAMMETRIC DEM FROM RADARSAT-1 STANDARD IMAGES IN LOW RELIEF AREA IN THE AMAZON COASTAL PLAIN","year":2014,"lang":"en","type":"article","venue":"Brazilian Journal of Geophysics","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Digital elevation model; Amazon rainforest; Scale (ratio); Geography; Remote sensing; Geodesy; Shuttle Radar Topography Mission; Terrain; Standard deviation; Geology; Cartography; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001793517,0.0001327786,0.0002639847,0.0002477835,0.00003125384,0.00007591536,0.0001454353,0.00006232802,0.000005236858],"category_scores_gemma":[0.0002296724,0.0001074818,0.00005382351,0.0005769526,0.00004831939,0.0002405354,0.00001079472,0.0003011518,6.79673e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005037248,"about_ca_system_score_gemma":0.00006232056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000110776,"about_ca_topic_score_gemma":0.0001378702,"domain_scores_codex":[0.9985058,0.0002212408,0.0004669658,0.000103902,0.0005471758,0.000154931],"domain_scores_gemma":[0.9992061,0.0002400255,0.0001840599,0.000133879,0.0001935611,0.00004235917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001304391,0.00012754,0.02148268,0.0001240623,0.00004556528,0.00001338019,0.002325075,0.02321543,0.03733762,0.00002102236,0.0004201973,0.914757],"study_design_scores_gemma":[0.009487731,0.0008432786,0.2643484,0.001146005,0.0003285348,0.00007602379,0.001928221,0.4891522,0.2157942,0.01483289,0.001281589,0.000780938],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810411,0.002180538,0.01630616,0.00004953937,0.0001629934,0.0001045771,0.00002199089,0.000007899838,0.0001251824],"genre_scores_gemma":[0.9964078,0.0002173699,0.003131224,0.00002773488,0.0001806202,0.000001221894,0.00001583497,0.00001680523,0.000001399873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9139761,"threshold_uncertainty_score":0.4382983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0174506802295833,"score_gpt":0.2471358809055337,"score_spread":0.2296852006759504,"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."}}