{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005283779,0.001354865,0.001137907,0.0009971643,0.0008133666,0.001744434,0.002110329,0.000876912,0.004280649],"category_scores_gemma":[0.002215424,0.000459944,0.0009445398,0.001837147,0.0004656439,0.002474812,0.0025188,0.0008715405,0.002161433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009433833,"about_ca_system_score_gemma":0.001360011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02401485,"about_ca_topic_score_gemma":0.02867908,"domain_scores_codex":[0.9994049,0.00005973093,0.00003257403,0.0002015838,0.0002057978,0.00009546605],"domain_scores_gemma":[0.9995673,0.00009298802,0.00004185686,0.0001797367,0.00008001076,0.00003821716],"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":[0.0008893133,0.000246918,0.003077344,0.0004515834,0.0002711375,0.0003773928,0.000156021,0.4979993,0.02607777,0.02162514,0.05473166,0.3940964],"study_design_scores_gemma":[0.00003884864,0.00002405402,0.0002803279,0.000009636783,0.0000106996,0.0000459775,0.00002488092,0.9863636,0.002342473,0.006541586,0.004306716,0.00001121396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02216296,0.001022168,0.9461201,0.0002255292,0.0001948631,0.0002151467,0.002653846,0.02185381,0.005551642],"genre_scores_gemma":[0.4360468,0.0005522436,0.5466574,0.0002274095,0.0001062093,0.0002501475,0.01051958,0.002024802,0.003615394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02401485,"threshold_uncertainty_score":0.04775017,"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."}}