{"id":"W7132353271","doi":"","title":"Satellite monitoring for early detection of excessive displacements on bridges","year":2021,"lang":"en","type":"article","venue":"NPARC","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bridge (graph theory); Interferometric synthetic aperture radar; Displacement (psychology); Synthetic aperture radar; Warning system; Satellite; Radar","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002472051,0.0002164683,0.0001152943,0.0008661064,0.000110848,0.0002144444,0.0002097913,0.0001939705,0.0007517228],"category_scores_gemma":[0.0003036058,0.00008809946,0.00008108563,0.0004814126,0.0001150803,0.0001660641,0.0002763025,0.0001189954,0.0002414383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002438975,"about_ca_system_score_gemma":0.0002996335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009495907,"about_ca_topic_score_gemma":0.02383688,"domain_scores_codex":[0.9998559,0.00002372747,0.000003783184,0.00002402048,0.00008050993,0.00001211751],"domain_scores_gemma":[0.9998772,0.00001937104,0.00002815636,0.00001215702,0.00005181212,0.00001121076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002130785,0.0001716497,0.1060087,0.0002615636,0.00007946284,0.0003101652,0.0004586288,0.0624749,0.4833162,0.001615041,0.004425976,0.3406648],"study_design_scores_gemma":[0.00005581063,0.0005398861,0.3489624,0.00005940687,0.0001084728,0.0003215722,0.00032604,0.5589645,0.07985786,0.0006852334,0.01006262,0.00005629279],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8887559,0.00066176,0.09785768,0.0001132613,0.00004402959,0.0001080182,0.0008684502,0.001830806,0.00976004],"genre_scores_gemma":[0.9524544,0.0002742667,0.04544206,0.00002588618,0.00001453628,0.00002325149,0.0004867224,0.00002397183,0.00125494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009495907,"threshold_uncertainty_score":0.01888126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141187053720798,"score_gpt":0.2437487612546148,"score_spread":0.2323368907174068,"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."}}