{"id":"W4416371859","doi":"10.2316/j.2026.206-1253","title":"TRAFFIC MITIGATION AND VEHICLE DETECTION BASED ON HOMOMORPHIC ENCRYPTION ALGORITHM AND FUZZY COMPREHENSIVE EVALUATION. 150-161","year":2025,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Vehicle License Plate Recognition","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fuzzy logic; Homomorphic encryption; Encryption; Fuzzy control system; Key (lock); Homomorphic filtering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002648686,0.0001120716,0.0001308952,0.000405846,0.00008108469,0.0001613577,0.00004555063,0.00008495006,0.00000464805],"category_scores_gemma":[0.00004995888,0.0001165503,0.00003015086,0.0001151868,0.00004181733,0.0003160483,0.00001034648,0.0001517063,0.000001630123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001240352,"about_ca_system_score_gemma":0.00003191816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002559683,"about_ca_topic_score_gemma":0.000003610567,"domain_scores_codex":[0.9990746,0.00005934937,0.0003299145,0.0001068478,0.0003509341,0.00007830111],"domain_scores_gemma":[0.9990961,0.0001393941,0.0001456163,0.0000442386,0.0005293346,0.00004532039],"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":[0.00002345811,0.00002765304,0.0001271386,0.00003755602,0.00007262395,0.000003704121,0.0000961375,0.4730115,0.007313834,0.0002318603,0.00001989746,0.5190347],"study_design_scores_gemma":[0.001205408,0.00008527385,0.03221785,0.0002319466,0.00007396058,0.00005941182,0.00007126436,0.9621711,0.002292908,0.001461063,0.00003714835,0.00009265787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8725468,0.0003613177,0.1255065,0.0006321628,0.0006480328,0.0001586149,0.000006642167,0.00006434157,0.00007562374],"genre_scores_gemma":[0.9933293,0.0002686706,0.006178028,0.00008571666,0.0001000706,0.000004858739,0.0000182251,0.00001223425,0.00000288056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.518942,"threshold_uncertainty_score":0.4752784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009642631767008181,"score_gpt":0.2425090866709519,"score_spread":0.2328664549039437,"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."}}