{"id":"W1581556037","doi":"10.1007/978-3-540-88313-5_17","title":"RFID Privacy Models Revisited","year":2008,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Impossibility; Computer security; Privacy software; Privacy protection; Information privacy; Internet privacy; Law","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":[0.001179211,0.0001303236,0.0001648436,0.00025915,0.001132981,0.0001725758,0.001585864,0.00010322,0.00002577668],"category_scores_gemma":[0.0009622651,0.000122156,0.00004296714,0.002109085,0.001006551,0.00126033,0.000586985,0.0002764679,0.00002670499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001931876,"about_ca_system_score_gemma":0.0004211568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001224093,"about_ca_topic_score_gemma":0.0002729284,"domain_scores_codex":[0.9978418,0.0001488848,0.0002078122,0.0005608287,0.0007117459,0.0005289589],"domain_scores_gemma":[0.9988608,0.0001717238,0.00007362291,0.0005952312,0.0001485135,0.0001500746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005997805,0.0004036805,0.01764059,0.00005871239,0.00001320719,0.0001557707,0.1281895,0.0359752,0.002247253,0.01429845,0.0008946199,0.800063],"study_design_scores_gemma":[0.0007964357,0.0001819158,0.01018791,0.0001453363,0.000007331569,0.00007195032,0.00001807608,0.4814586,0.005448194,0.4926682,0.008121231,0.0008947661],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09014659,0.0002326822,0.9061852,0.002065529,0.000572119,0.0002730497,0.000002469008,0.0001372731,0.0003851042],"genre_scores_gemma":[0.9299769,0.0001631837,0.06849133,0.0008697515,0.0004811352,0.000006936636,0.000002299562,0.000005856873,0.000002537553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8398304,"threshold_uncertainty_score":0.8714087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04144119673069961,"score_gpt":0.3008881490764771,"score_spread":0.2594469523457775,"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."}}