{"id":"W7113169130","doi":"","title":"Towards Autonomous Bridge Scour Monitoring Using an Unmanned Surface Vehicle and Multibeam Sonar","year":2025,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bathymetry; Sonar; Bridge (graph theory); Pier; Underwater; Bridge scour; Calibration","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003593916,0.0004308055,0.0002715983,0.0004113827,0.0001536468,0.0004946254,0.0006544171,0.0005512384,0.0003676754],"category_scores_gemma":[0.0003505866,0.0002188985,0.0002078843,0.0002355406,0.0002052784,0.000710863,0.0007563878,0.0003622186,0.0003324556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000178204,"about_ca_system_score_gemma":0.0004807734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002923746,"about_ca_topic_score_gemma":0.004461799,"domain_scores_codex":[0.9997175,0.00003371632,0.000008082823,0.00006248999,0.0001432455,0.00003486803],"domain_scores_gemma":[0.9998154,0.00001865617,0.00002915725,0.00002930564,0.00008654289,0.00002096966],"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":[0.0001470173,0.0002544396,0.01593213,0.0001691474,0.00005114724,0.0002771898,0.0005234412,0.03964377,0.5924935,0.001463224,0.00139704,0.3476479],"study_design_scores_gemma":[0.00009832584,0.00184113,0.06476182,0.00005880028,0.00007875892,0.0005653013,0.0006668952,0.8068765,0.1087862,0.001779286,0.01441432,0.00007268563],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4818818,0.0005535833,0.5109744,0.000302816,0.00006304307,0.0001579447,0.0001421531,0.001641955,0.004282262],"genre_scores_gemma":[0.7479897,0.0002175791,0.2489149,0.0001337983,0.00002209849,0.00009438716,0.0002703971,0.0000304471,0.002326627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002923746,"threshold_uncertainty_score":0.00581342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152956749765773,"score_gpt":0.2149141634396763,"score_spread":0.2033845959420186,"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."}}