{"id":"W4391612952","doi":"10.3390/rs16040614","title":"Satellite Synthetic Aperture Radar, Multispectral, and Infrared Imagery for Assessing Bridge Deformation and Structural Health—A Case Study at the Samuel de Champlain Bridge","year":2024,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada; Infrastructure Canada; Transport Canada","keywords":"Bridge (graph theory); Remote sensing; Geology; Multispectral image; Synthetic aperture radar; Satellite; Satellite imagery; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009799906,0.0005013733,0.0002056789,0.001093945,0.0004335724,0.0006424274,0.0005643966,0.0007362931,0.0005633775],"category_scores_gemma":[0.0007258391,0.00018794,0.0001898997,0.001087186,0.0004490834,0.0003169037,0.0003198061,0.0002360478,0.00009515541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001306847,"about_ca_system_score_gemma":0.001466213,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1162967,"about_ca_topic_score_gemma":0.3484634,"domain_scores_codex":[0.9996133,0.0001041377,0.00001076046,0.00005258361,0.0001758307,0.00004329929],"domain_scores_gemma":[0.9996641,0.0001164437,0.00003677035,0.00002827609,0.0001146614,0.00003972946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"case_report","study_design_scores_codex":[0.0009993073,0.002182564,0.4663743,0.0003286752,0.0002251041,0.007821166,0.002266795,0.118233,0.1177323,0.001983551,0.003235904,0.2786171],"study_design_scores_gemma":[0.0001513539,0.0009118636,0.5962554,0.0000456909,0.0001125828,0.0014763,0.003577262,0.3666942,0.02589964,0.0005702493,0.004216981,0.00008833293],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931717,0.0001236789,0.004528173,0.0001763375,0.000005586315,0.00009072661,0.0001120649,0.00003950126,0.00175228],"genre_scores_gemma":[0.9842815,0.0001570741,0.01406297,0.0000414344,0.000008336905,0.00003671881,0.0001301335,0.00000894456,0.001272871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8837033,"threshold_uncertainty_score":0.2312396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799420724730767,"score_gpt":0.289284721858129,"score_spread":0.2712905146108214,"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."}}