{"id":"W7127268960","doi":"10.1109/ccece64018.2025.11364391","title":"Improving UAV Thermal Object Detection: A Comparative Assessment of Detection Approaches","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Object detection; Preprocessor; Pipeline (software); Thermal infrared; Multispectral image; Histogram","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":[0.003737554,0.002288076,0.001608632,0.003970195,0.0006211403,0.001967315,0.002003259,0.001718862,0.00112473],"category_scores_gemma":[0.007274662,0.0004597974,0.001633261,0.001537228,0.0004642498,0.002699947,0.001411441,0.001087121,0.001120566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084709,"about_ca_system_score_gemma":0.001021123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01313202,"about_ca_topic_score_gemma":0.01432716,"domain_scores_codex":[0.9967684,0.0005252161,0.0002479781,0.001136192,0.00104325,0.0002789721],"domain_scores_gemma":[0.9971011,0.001366861,0.0001872133,0.0003952245,0.0007951409,0.0001543574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001376655,0.0005233487,0.02849833,0.001287545,0.001233038,0.0001708513,0.0002140619,0.06914271,0.009687144,0.00109486,0.01166381,0.8751076],"study_design_scores_gemma":[0.0001001832,0.002354851,0.02612441,0.0003920535,0.001081012,0.001000595,0.0006848884,0.9246754,0.02514969,0.00168536,0.01661092,0.0001407087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6508254,0.07854477,0.2241763,0.001505542,0.001729065,0.0007256927,0.00289166,0.01734503,0.02225659],"genre_scores_gemma":[0.8375903,0.01131707,0.1379139,0.0005868338,0.0002244451,0.0001294124,0.006415553,0.0005548464,0.005267493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01313202,"threshold_uncertainty_score":0.02611113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05670692000363715,"score_gpt":0.3179250980265276,"score_spread":0.2612181780228904,"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."}}