{"id":"W4413925729","doi":"10.1109/icra55743.2025.11128514","title":"CloudTrack: Scalable UAV Tracking with Cloud Semantics","year":2025,"lang":"en","type":"article","venue":"","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Cloud computing; Computer science; Scalability; Semantics (computer science); Distributed computing; Database; Operating system; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.00004111495,0.00007226515,0.00007211572,0.00004751313,0.0000539531,0.00004554685,0.00006697837,0.0000416803,0.00007860812],"category_scores_gemma":[0.000002601061,0.00006170617,0.0000140014,0.0003191112,0.00001296737,0.00007065432,0.000008331466,0.0000633009,0.00003253376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000234616,"about_ca_system_score_gemma":0.00001093412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009145987,"about_ca_topic_score_gemma":0.00003112937,"domain_scores_codex":[0.9996365,0.00000280407,0.0001005707,0.00008880933,0.00005125697,0.0001200499],"domain_scores_gemma":[0.9997523,0.00001620894,0.000008009481,0.0001630015,0.00003865204,0.00002176849],"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":[0.000007404904,0.00005388283,0.003823127,0.00013024,0.00007694564,0.000001644039,0.0001173351,0.8672535,0.001422546,0.0959604,0.01764556,0.01350739],"study_design_scores_gemma":[0.0004757618,0.00001810444,0.003328795,0.00007295675,0.0000533592,0.000003781895,0.0001476057,0.9229114,0.01901303,0.0009377663,0.05275354,0.0002838741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04692858,0.0001131297,0.8272512,0.0002263476,0.0001314747,0.0001470649,0.000001565771,0.0004909525,0.1247097],"genre_scores_gemma":[0.9728367,0.00005697971,0.02374626,0.00007911895,0.00004395126,0.00001690515,0.000008907348,0.00001639951,0.00319482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9259081,"threshold_uncertainty_score":0.2516305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004115930227694796,"score_gpt":0.1955961005764428,"score_spread":0.191480170348748,"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."}}