{"id":"W4233399787","doi":"10.4133/1.2927165","title":"Creating and Correcting a Digital Terrain Elevation Model Using Radar Altimetry and GPS Data Acquired from Aeromagnetic Surveys","year":2002,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2002","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Digital elevation model; Global Positioning System; Geology; Geodesy; Terrain; Elevation (ballistics); Altimeter; Remote sensing; Radar; Computer science; Cartography; Geography; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002152995,0.000145466,0.0001319829,0.00003178196,0.0001339783,0.00006987314,0.0001119038,0.00003319129,0.00001307729],"category_scores_gemma":[0.000009445374,0.0001276555,0.00001275002,0.0000810827,0.00004444488,0.0001989978,0.00005859661,0.00006535502,0.00001253755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006149438,"about_ca_system_score_gemma":0.000001798829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006668407,"about_ca_topic_score_gemma":0.00000792125,"domain_scores_codex":[0.9991586,0.00002064806,0.0001732579,0.000312329,0.0001855959,0.0001496162],"domain_scores_gemma":[0.9994658,0.00009859135,0.00008325035,0.0002731564,0.000004460449,0.00007477353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001766127,0.0001684057,0.0322533,0.00009927303,0.00009604786,5.605776e-7,0.001994603,0.3739238,0.4196748,0.00007023353,0.00003572875,0.1716655],"study_design_scores_gemma":[0.0001505103,0.0000670403,0.03839436,0.00003032261,0.00001856114,0.000002075488,0.00005470615,0.9603754,0.0004222465,0.000310208,0.00002554435,0.0001490086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862233,0.0001627207,0.01278464,0.00006592074,0.00001954637,0.0002887633,0.0003057597,0.00001440427,0.0001349437],"genre_scores_gemma":[0.9984068,0.00003600008,0.001274863,0.00002833934,0.00003018372,0.000003606077,0.0001762159,0.000008812902,0.00003520459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5864516,"threshold_uncertainty_score":0.5205638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02050016094284095,"score_gpt":0.1830273932985525,"score_spread":0.1625272323557115,"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."}}