{"id":"W3186702231","doi":"10.52547/jgit.9.1.21","title":"Evaluating the deformation monitoring capability of a ground based SAR system with MIMO antenna","year":2021,"lang":"en","type":"article","venue":"Journal of Geospatial Information Technology","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Azimuth; MIMO; Computer science; Beamforming; Antenna (radio); Remote sensing; Synthetic aperture radar; Radar; Electronic engineering; Acoustics; Physics; Optics; Geology; Telecommunications; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005700595,0.0001136166,0.0002377363,0.0002358678,0.00009181441,0.0000304098,0.0002090765,0.0001408234,0.000008599976],"category_scores_gemma":[0.0001660787,0.00007643054,0.00005851699,0.0005691116,0.00007207001,0.0004727847,0.00002438496,0.000271045,0.000002473267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001652772,"about_ca_system_score_gemma":0.0001153973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003179296,"about_ca_topic_score_gemma":0.00000631595,"domain_scores_codex":[0.9987038,0.00003237984,0.0007876576,0.00004787839,0.0002978052,0.0001305161],"domain_scores_gemma":[0.9981681,0.00009555308,0.0005132184,0.0002900046,0.0009073364,0.00002580274],"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":[0.00008090944,0.00006024015,0.002477912,0.0006630175,0.0001575159,0.000003794857,0.00121604,0.005008158,0.005943601,0.005132988,0.00004517917,0.9792106],"study_design_scores_gemma":[0.00155311,0.0009718967,0.006071158,0.001022578,0.0001938242,0.001095074,0.0106177,0.684035,0.2793301,0.0008794345,0.01381705,0.0004130739],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.324023,0.00012924,0.6749713,0.0003069819,0.0001130755,0.0001546187,0.00000507096,0.0001247118,0.0001719641],"genre_scores_gemma":[0.8115389,0.00001848937,0.1883753,0.0000110031,0.00003525712,0.000009097966,0.000004021033,0.000007085142,7.652159e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9787976,"threshold_uncertainty_score":0.3116747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265598190883922,"score_gpt":0.2538709101966919,"score_spread":0.2412149282878527,"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."}}