{"id":"W4389726137","doi":"10.12783/shm2023/37029","title":"SATELLITE MULTISPECTRAL AND INFRARED IMAGERY ANALYSIS TO CONTEXTUALIZE BRIDGE STRUCTURAL HEALTH OBSERVATIONS – A STUDY OF THE SAMUEL DE CHAMPLAIN BRIDGE IN MONTREAL, CANADA","year":2023,"lang":"en","type":"article","venue":"","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada; Infrastructure Canada; Transport Canada","keywords":"Remote sensing; Interferometric synthetic aperture radar; Multispectral image; Synthetic aperture radar; Satellite; Satellite imagery; Geology; Meteorology; Environmental science; Geography; 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":[0.0004767131,0.0004092652,0.0002502583,0.001265246,0.00153866,0.0009027803,0.0009424337,0.0004209486,0.001015373],"category_scores_gemma":[0.0008115349,0.0002254019,0.0002677426,0.002281569,0.000548324,0.0003138641,0.0004862176,0.0004374295,0.0001813574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01158782,"about_ca_system_score_gemma":0.0104265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9890126,"about_ca_topic_score_gemma":0.9966941,"domain_scores_codex":[0.9995242,0.00003994614,0.000008511873,0.00009243522,0.0001845922,0.0001503407],"domain_scores_gemma":[0.9994745,0.00003685532,0.00005101024,0.00002367547,0.0003331444,0.00008094915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000213904,0.0005413637,0.9328633,0.00007287086,0.0001619766,0.0006150213,0.00350234,0.005685281,0.01314301,0.0005619369,0.004168618,0.03847037],"study_design_scores_gemma":[0.00000785852,0.0000189876,0.9929873,0.00000721007,0.00001063267,0.00002301824,0.001498814,0.003504348,0.0004541393,0.00001470403,0.001461897,0.00001103027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963681,0.00009029359,0.000352875,0.0001070877,0.000004604597,0.00005458562,0.0009446975,0.0000135296,0.002064193],"genre_scores_gemma":[0.9954944,0.00008334705,0.001237481,0.00005599687,0.000005371412,0.00002699279,0.001287546,0.00001022233,0.001798756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01158782,"threshold_uncertainty_score":0.08407599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04173591405633698,"score_gpt":0.3097486149534847,"score_spread":0.2680127008971477,"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."}}