{"id":"W2391865356","doi":"","title":"The application of generating DEM from EarthView InSAR software","year":2010,"lang":"en","type":"article","venue":"Engineering of Surveying and Mapping","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interferometric synthetic aperture radar; Geography; Computer science; Software; Cartography; Remote sensing; Geodesy; Synthetic aperture radar; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003697191,0.0001095042,0.0001621325,0.00004723558,0.00007454319,0.00001691472,0.0001210019,0.00006942292,0.000002015641],"category_scores_gemma":[0.000115843,0.00009345578,0.00003416514,0.0001321669,0.00003447094,0.00004166239,0.00002781103,0.0001740263,6.041787e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006214712,"about_ca_system_score_gemma":0.000006978285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000874317,"about_ca_topic_score_gemma":0.00001766883,"domain_scores_codex":[0.999403,0.000009570904,0.0002662168,0.0001132505,0.00008468985,0.0001232783],"domain_scores_gemma":[0.9993004,0.0003222888,0.00005347412,0.0002510682,0.00004014069,0.00003262532],"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":[7.909453e-7,0.00000649205,0.001727289,0.0001204295,0.0000417136,1.4652e-7,0.0002151958,0.0007895035,0.1943189,0.001477198,0.00003106687,0.8012713],"study_design_scores_gemma":[0.00028179,0.00001930637,0.03555334,0.0003270929,0.00003616664,0.00001059237,0.0001356056,0.5177992,0.1467259,0.0005534146,0.2980039,0.000553733],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2815257,0.001187735,0.7168219,0.00001897859,0.00008824813,0.00009969263,0.000008675504,0.0001945512,0.00005449724],"genre_scores_gemma":[0.6856288,0.0001554475,0.3141202,0.000002415935,0.00004725702,0.00001767033,0.000006309936,0.00001873991,0.000003142537],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8007176,"threshold_uncertainty_score":0.3811016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007077851911591044,"score_gpt":0.192735063728749,"score_spread":0.1856572118171579,"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."}}