{"id":"W4237255168","doi":"10.32920/ryerson.14644716","title":"The generation of digital elevation models using open source images","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Ministry of Economy, Trade and Industry; U.S. Geological Survey; National Aeronautics and Space Administration","keywords":"Digital elevation model; Remote sensing; Advanced Spaceborne Thermal Emission and Reflection Radiometer; Elevation (ballistics); Satellite; Ranging; Geology; Geography; Cartography; Geodesy; Mathematics","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001815075,0.0001598861,0.0001806272,0.00004543249,0.00008789729,0.001815644,0.0003441973,0.0001267701,0.000009746094],"category_scores_gemma":[0.00003210459,0.0001289363,0.00006672932,0.0001261917,0.00002980861,0.0004090965,0.0003748337,0.000228839,7.313123e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004225305,"about_ca_system_score_gemma":0.00006865499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001682018,"about_ca_topic_score_gemma":0.00001000101,"domain_scores_codex":[0.9992028,0.00001933814,0.0002968202,0.0001909566,0.0001517188,0.0001383708],"domain_scores_gemma":[0.9993607,0.00004992486,0.00007962498,0.0003282822,0.0001543428,0.00002712468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000272718,0.00001362001,0.00008689613,0.0001946884,0.00007281364,6.269674e-7,0.0002794709,0.8789297,0.02445633,0.00002611458,0.0001855149,0.09575152],"study_design_scores_gemma":[0.00005199797,0.000002356555,0.000007584902,0.00008538547,0.00002013672,0.000002587127,0.0001712446,0.9055061,0.09305619,0.0007826057,0.0001674103,0.0001463411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1159536,0.003036991,0.8753615,0.00001665402,0.0003146535,0.0001924574,0.00001437827,0.0001181546,0.004991646],"genre_scores_gemma":[0.9813966,0.0003479085,0.01755425,0.00001100028,0.0001189126,0.00001534346,0.0001647482,0.00004427056,0.0003469756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.865443,"threshold_uncertainty_score":0.9992206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08440939087359643,"score_gpt":0.2885525334883393,"score_spread":0.2041431426147429,"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."}}