{"id":"W4315701427","doi":"10.3390/drones7010053","title":"Preserving Privacy of Classified Authentic Satellite Lane Imagery Using Proxy Re-Encryption and UAV Technologies","year":2023,"lang":"en","type":"article","venue":"Drones","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Encryption; Data mining; Computer security; Identification (biology); Proxy (statistics); Artificial intelligence; Image (mathematics); Computer vision; Machine learning","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":[0.0004417222,0.0002632985,0.0003584035,0.0003986635,0.0003744951,0.001055132,0.0004610959,0.000531873,0.0008696528],"category_scores_gemma":[0.00188088,0.0001366045,0.000413632,0.0004384847,0.0004009718,0.00198937,0.0007882892,0.0004551035,0.0003941521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003596017,"about_ca_system_score_gemma":0.0004077212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000554295,"about_ca_topic_score_gemma":0.0005611425,"domain_scores_codex":[0.9992287,0.0001745074,0.00006361958,0.0001377094,0.0002656434,0.0001297874],"domain_scores_gemma":[0.9990349,0.0001593423,0.0001655842,0.0004571989,0.0001554473,0.00002759964],"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":[0.001107051,0.0002020885,0.01077376,0.000443815,0.0001813895,0.002221813,0.0009553877,0.1059281,0.2925286,0.0677226,0.004751087,0.5131842],"study_design_scores_gemma":[0.0000451912,0.0003158737,0.004201689,0.00007769653,0.0000678064,0.002534851,0.000484434,0.7158411,0.2393154,0.02227804,0.01477204,0.00006593578],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1888797,0.001048364,0.8008546,0.000625374,0.0001144177,0.0001091415,0.0002193449,0.0008425447,0.007306408],"genre_scores_gemma":[0.9393233,0.0003397048,0.05789946,0.00007594721,0.00003465223,0.00002895575,0.0001320188,0.00002265503,0.002143385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001055132,"threshold_uncertainty_score":0.002909303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0380470770416373,"score_gpt":0.2894705041695681,"score_spread":0.2514234271279308,"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."}}