{"id":"W7070784993","doi":"","title":"Point Cloud-based Deep Learning and UAV Path Planning for Surface Defect Detection of Concrete Bridges","year":2022,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Point cloud; Segmentation; Deep learning; Bridge (graph theory); Lidar; Point (geometry); Focus (optics); Image segmentation; Visual inspection","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":[0.0003426064,0.00146974,0.001016387,0.001348681,0.0002991671,0.0006600416,0.001443506,0.00106769,0.001707631],"category_scores_gemma":[0.001088759,0.0006515578,0.0009905848,0.001468181,0.0003731509,0.0008409995,0.0008752825,0.001229086,0.0005394102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008453708,"about_ca_system_score_gemma":0.001351104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02550809,"about_ca_topic_score_gemma":0.02100286,"domain_scores_codex":[0.9996712,0.00002998473,0.00001723475,0.0001118087,0.00009553639,0.00007417625],"domain_scores_gemma":[0.9997177,0.00008640322,0.00003707346,0.00003479068,0.00009668861,0.00002743908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001190177,0.0001091582,0.00275349,0.0001045589,0.00006214654,0.0001461123,0.00005066988,0.8003822,0.003297412,0.001261591,0.004991378,0.1867223],"study_design_scores_gemma":[0.000003827588,0.00001249483,0.0003047432,0.000004818862,0.000004348044,0.00001138087,0.000008037327,0.9983808,0.0004812954,0.0005766255,0.0002086208,0.000002925016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1500631,0.002108334,0.8359309,0.0004496076,0.000168514,0.0001457914,0.001723686,0.006032025,0.003378004],"genre_scores_gemma":[0.8278221,0.0007628548,0.1634059,0.000184905,0.00005854477,0.0001573526,0.004631339,0.0001726437,0.002804417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02550809,"threshold_uncertainty_score":0.0507192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01083206259318041,"score_gpt":0.2508290701829325,"score_spread":0.2399970075897521,"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."}}