{"id":"W4399182837","doi":"10.3390/drones8060225","title":"Next-Gen Remote Airport Maintenance: UAV-Guided Inspection and Maintenance Using Computer Vision","year":2024,"lang":"en","type":"article","venue":"Drones","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Transport Canada","keywords":"Runway; Computer science; Terrain; Artificial intelligence; Real-time computing; Remote sensing; Computer vision; Cartography","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0001775859,0.0004512644,0.0003225235,0.0005675356,0.0002271607,0.0004294886,0.0006213831,0.0004681469,0.001237129],"category_scores_gemma":[0.0003200953,0.0001663088,0.000270523,0.0002021485,0.0002090447,0.000420648,0.0004631481,0.0003263776,0.0004893314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004925738,"about_ca_system_score_gemma":0.000514555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009993303,"about_ca_topic_score_gemma":0.01995445,"domain_scores_codex":[0.9998318,0.00001248265,0.000004753622,0.00006132312,0.00005802851,0.00003159357],"domain_scores_gemma":[0.9998499,0.00001936087,0.00002370462,0.00003711993,0.00004948123,0.00002033873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004196917,0.0003608534,0.01441493,0.0001786955,0.0001331958,0.000483712,0.0002380614,0.05008549,0.2296648,0.001689253,0.009632707,0.6926986],"study_design_scores_gemma":[0.00004715474,0.0003543087,0.01878545,0.00003183436,0.00005733591,0.0006339223,0.0000860494,0.8942486,0.07338171,0.0009353986,0.01139624,0.00004202497],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1982013,0.0006652583,0.7783836,0.000171876,0.0001470379,0.0001892442,0.000447024,0.01441001,0.007384663],"genre_scores_gemma":[0.7746686,0.0001394407,0.220921,0.0001453286,0.00002394761,0.00004853946,0.0005008924,0.0001079436,0.00344437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009993303,"threshold_uncertainty_score":0.01987028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01332887462955848,"score_gpt":0.2505482268902152,"score_spread":0.2372193522606567,"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."}}