{"id":"W2102502156","doi":"10.1109/rfid.2009.4911191","title":"How to improve security and reduce hardware demands of the WIPR RFID protocol","year":2009,"lang":"en","type":"article","venue":"","topic":"RFID technology advancements","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Cryptography; Factoring; Hardware security module; Hash function; Cryptographic protocol; Public-key cryptography; Cryptographic primitive; Embedded system; Computer security; Computer hardware; Encryption","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":[0.003008503,0.0009417268,0.000866802,0.001099225,0.0007725382,0.001579904,0.0021773,0.001247524,0.004075406],"category_scores_gemma":[0.008693355,0.0006261843,0.001229163,0.0008304184,0.001920086,0.00934129,0.002340923,0.002581456,0.001951391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008512574,"about_ca_system_score_gemma":0.001379465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002699811,"about_ca_topic_score_gemma":0.0001397432,"domain_scores_codex":[0.9960632,0.001108725,0.000305596,0.0005629739,0.001461745,0.0004977414],"domain_scores_gemma":[0.9937854,0.001405307,0.000639844,0.003438239,0.0006508511,0.00008037808],"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":[0.000795897,0.0002145799,0.002152497,0.001223549,0.0001858926,0.0009641713,0.0005985451,0.07832297,0.1540975,0.4955456,0.004754771,0.2611441],"study_design_scores_gemma":[0.000337746,0.001187381,0.001669702,0.0003146824,0.0003314794,0.004548813,0.0003582227,0.4610552,0.2344889,0.2239028,0.07152047,0.0002845688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06206323,0.001192716,0.9202909,0.001935886,0.0002279597,0.0003150518,0.00008822169,0.001856856,0.01202923],"genre_scores_gemma":[0.5656914,0.001468554,0.4258757,0.0004749235,0.0002251445,0.0002044148,0.0002041102,0.0003187844,0.005536978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004075406,"threshold_uncertainty_score":0.01591069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005019932063083121,"score_gpt":0.2353987203470876,"score_spread":0.2303787882840045,"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."}}