{"id":"W1549104937","doi":"","title":"Technique for preventing DoS attacks on RFID systems","year":2010,"lang":"en","type":"article","venue":"International Conference on Software, Telecommunications and Computer Networks","topic":"RFID technology advancements","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Denial-of-service attack; Computer science; Eavesdropping; Computer security; Protocol (science); Synchronization (alternating current); Intrusion detection system; Computer network; Operating system; The Internet","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001690478,0.000174133,0.0001548841,0.0001432747,0.0001640509,0.0001189338,0.0007390585,0.0001749696,0.00002205137],"category_scores_gemma":[0.0000236074,0.0001831439,0.0000427238,0.00008738154,0.00006757881,0.00011398,0.0001406697,0.0006035558,0.00000974513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003679477,"about_ca_system_score_gemma":0.0000123014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003595012,"about_ca_topic_score_gemma":0.00001238791,"domain_scores_codex":[0.9991733,0.0000218334,0.0002839922,0.0002171296,0.0001039429,0.0001997382],"domain_scores_gemma":[0.9989067,0.0002064594,0.00008185315,0.0005981367,0.0001601816,0.000046709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004808646,0.0003580805,0.00431855,0.00007010475,0.0004296802,0.000003228558,0.00009986001,0.1460529,0.001403237,0.5945114,0.005573217,0.2471316],"study_design_scores_gemma":[0.0004075757,0.0001128035,0.001432542,0.0001930268,0.000009937979,0.00001997567,0.000009935557,0.9701979,0.0002867937,0.003137591,0.02389758,0.0002943529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01066387,0.00008677893,0.9851428,0.0001841924,0.00110849,0.0006051681,0.00002486939,0.0005058433,0.001677939],"genre_scores_gemma":[0.8975023,0.0002807276,0.1010035,0.00009771448,0.0001650184,0.0007201926,0.0001116277,0.00002973177,0.00008924834],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8868384,"threshold_uncertainty_score":0.7468392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0206397328308276,"score_gpt":0.2788206266181706,"score_spread":0.258180893787343,"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."}}