{"id":"W2795198781","doi":"10.1117/12.2295961","title":"Damage detection with an autonomous UAV using deep learning","year":2018,"lang":"en","type":"article","venue":"Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Beacon; Global Positioning System; Computer science; Real-time computing; Drone; GPS signals; Convolutional neural network; Deep learning; Bridge (graph theory); Structural health monitoring; Artificial intelligence; Visual inspection; Assisted GPS; Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000171948,0.0003701907,0.0004310796,0.0001466701,0.0006516956,0.0001976465,0.0001507211,0.0004080896,0.000001988701],"category_scores_gemma":[0.00006222033,0.0002854024,0.00004501347,0.0001657732,0.0002875759,0.0002291681,0.00007971709,0.0003407616,6.829685e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007018444,"about_ca_system_score_gemma":0.000009967996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000808625,"about_ca_topic_score_gemma":0.000416515,"domain_scores_codex":[0.9985639,0.0000284195,0.0002573872,0.0004580629,0.0001399055,0.0005522707],"domain_scores_gemma":[0.9993356,0.00003722101,0.00009966426,0.0003365683,0.0001034574,0.00008750777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006566122,0.00003702368,0.002743596,0.00199865,0.0007759946,0.0000511046,0.003120616,0.04348625,0.8690164,0.01755267,0.0003799947,0.0601811],"study_design_scores_gemma":[0.001941091,0.003660406,0.0008304263,0.0003902845,0.0002257835,0.0006135065,0.02084281,0.7782996,0.1689156,0.004473709,0.01802525,0.00178154],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9577474,0.0004307161,0.03886591,0.00001341056,0.001076876,0.0004864364,0.00001010564,0.001301354,0.00006778994],"genre_scores_gemma":[0.9933398,0.0001409123,0.006018535,0.000005169143,0.0003453358,0.00002787139,0.000003944253,0.00007234122,0.00004612741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7348134,"threshold_uncertainty_score":0.9999598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008482150627451607,"score_gpt":0.2151657905703628,"score_spread":0.2066836399429112,"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."}}