{"id":"W7127361575","doi":"10.1109/ccece64018.2025.11364513","title":"GA-Based Optimization of Visible and Infrared Decision-Level Data Fusion for UAV Detection","year":2025,"lang":"","type":"article","venue":"","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Context (archaeology); Object detection; Detector; Bayesian optimization; Sensor fusion; Precision and recall; Frame (networking); Pattern recognition (psychology); Genetic algorithm","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":[0.001482351,0.001241234,0.00123672,0.0008467755,0.0003852687,0.0009276801,0.001182259,0.00133257,0.0008798108],"category_scores_gemma":[0.003727293,0.0005480384,0.0009687265,0.0006106633,0.000868712,0.000685975,0.0009906867,0.001240328,0.0002533911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001292718,"about_ca_system_score_gemma":0.001638079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0123539,"about_ca_topic_score_gemma":0.007420579,"domain_scores_codex":[0.9992786,0.0002157705,0.0000387958,0.0001839343,0.0001581176,0.0001248296],"domain_scores_gemma":[0.9989801,0.0006129475,0.0001030382,0.0000505594,0.0002188189,0.00003462551],"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":[0.00004446689,0.00002997405,0.0004293967,0.0000197778,0.0000358831,0.00002055841,0.00002454379,0.9755705,0.001236003,0.001402062,0.0002052899,0.02098157],"study_design_scores_gemma":[0.000003174253,0.00001179821,0.00006200118,0.000002636652,0.000003638688,0.000002973909,0.000003458828,0.9990243,0.000377882,0.0004442515,0.00006190316,0.000002012397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05086656,0.000374814,0.9459845,0.000191892,0.00004649746,0.00005621999,0.00005563616,0.0005062965,0.001917665],"genre_scores_gemma":[0.7782339,0.0001215981,0.2196489,0.0001788988,0.0000218878,0.0001598499,0.000186503,0.00006162756,0.001386727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0123539,"threshold_uncertainty_score":0.02456397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02537493232493195,"score_gpt":0.2723132581941627,"score_spread":0.2469383258692308,"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."}}