{"id":"W4386919837","doi":"10.1109/sas58821.2023.10254004","title":"Combined Radar and Camera Drone Detection in Urban Environment: A Simulation-Based Approach","year":2023,"lang":"en","type":"article","venue":"","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; National Research Council Canada","funders":"","keywords":"Drone; Computer science; Radar; Remote sensing; Computer vision; Radar lock-on; Urban environment; Artificial intelligence; Radar imaging; Radar engineering details; Real-time computing; Environmental science; Geography; 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":[],"consensus_categories":[],"category_scores_codex":[0.00005085955,0.00005882862,0.000056753,0.0001060516,0.00003263587,0.00001330535,0.00002205791,0.00003860964,0.00002472989],"category_scores_gemma":[0.000003533091,0.00006303957,0.000008711209,0.0002485828,0.00001045591,0.00004811421,0.000005945419,0.00004201747,0.00002287686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000352681,"about_ca_system_score_gemma":0.000002089929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002140791,"about_ca_topic_score_gemma":0.00000617268,"domain_scores_codex":[0.9996626,0.000006647214,0.00009674577,0.00009810115,0.00005186633,0.00008406207],"domain_scores_gemma":[0.9998354,0.00003926555,0.000008464378,0.00009070294,0.00000329608,0.00002284536],"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":[0.000002463332,0.00001223899,0.0005434792,0.00001079651,0.000002529051,1.174371e-7,0.00006062565,0.9958273,0.0007022126,0.00008191288,0.00002083822,0.002735547],"study_design_scores_gemma":[0.000362465,0.000009482203,0.005998808,0.000001529657,0.000002977818,5.307726e-8,0.00002555423,0.9924368,0.0005962217,0.00003640717,0.0004585603,0.00007119832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2152415,0.00002570103,0.7829736,0.00002954731,0.00001807782,0.0002597314,0.000002425317,0.0003330434,0.001116286],"genre_scores_gemma":[0.9962461,0.0000183463,0.003487608,0.00001081368,0.00001070514,0.00005674423,0.00005286992,0.00001475427,0.0001020687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7810045,"threshold_uncertainty_score":0.2570679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006466458385268489,"score_gpt":0.1791935060085553,"score_spread":0.1727270476232868,"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."}}