{"id":"W4387485679","doi":"10.23919/softcom58365.2023.10271666","title":"Empirical Comparison of Face Verification Algorithms from UAVs","year":2023,"lang":"en","type":"article","venue":"","topic":"Face recognition and analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; CODE; NetApp","keywords":"Benchmarking; Computer science; Drone; Algorithm; Pipeline (software); Guard (computer science); Wireless; Face (sociological concept); Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003823619,0.0008023558,0.000722239,0.002645144,0.0006278972,0.0009923521,0.001344779,0.001261317,0.001857739],"category_scores_gemma":[0.02447159,0.0002402225,0.0007650324,0.001172873,0.0005690568,0.001462047,0.00119882,0.0006952633,0.001092054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045357,"about_ca_system_score_gemma":0.0005371852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004024121,"about_ca_topic_score_gemma":0.003817202,"domain_scores_codex":[0.9950754,0.001091835,0.0004420334,0.001184499,0.001880567,0.0003257658],"domain_scores_gemma":[0.986524,0.008704013,0.0007035256,0.002025296,0.001863626,0.0001795789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001600712,0.0003376449,0.04674,0.0007099842,0.0004356633,0.0002872727,0.0002779914,0.1029578,0.01364538,0.002343187,0.0082535,0.8224108],"study_design_scores_gemma":[0.00007055938,0.001043499,0.06611802,0.0001320719,0.0001832026,0.0027001,0.0005725116,0.8737803,0.04598163,0.003602821,0.005736935,0.00007839838],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8669364,0.004640376,0.1170565,0.0002580905,0.0003005996,0.0003243868,0.001727834,0.002886222,0.005869493],"genre_scores_gemma":[0.9406734,0.0005344591,0.05328095,0.00005896836,0.00004461854,0.00006977675,0.00402633,0.0001353467,0.001176236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004024121,"threshold_uncertainty_score":0.02022147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09753155825400636,"score_gpt":0.3687479436544038,"score_spread":0.2712163854003975,"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."}}