{"id":"W2045280270","doi":"10.1145/2656346.2660856","title":"An enhanced security scheme for query state inference in EPCglobal discovery services","year":2014,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Data mining; Probabilistic logic; Database transaction; Inference; Constant false alarm rate; State (computer science); Suite; Scheme (mathematics); Service discovery; Computer network; Information retrieval; Database; Algorithm; Web service; Artificial intelligence; World Wide Web","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":[0.0003511113,0.0001262694,0.0001582593,0.00006337366,0.00006127232,0.0003462099,0.0007396102,0.00004112456,0.000002467964],"category_scores_gemma":[0.00003022778,0.0001109131,0.00005048915,0.0001597966,0.00001852616,0.001762755,0.0001474625,0.00009160311,0.00001265774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003045972,"about_ca_system_score_gemma":0.00004484807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001139204,"about_ca_topic_score_gemma":0.002487293,"domain_scores_codex":[0.9988907,0.00006672134,0.0001958221,0.0004041296,0.0001575447,0.0002850681],"domain_scores_gemma":[0.9991693,0.0001557363,0.00005592239,0.0004794163,0.00006348259,0.00007609677],"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":[0.0002932766,0.001214966,0.05575385,0.0004847909,0.00006767792,0.00001410366,0.007466068,0.004109568,0.1174957,0.6835939,0.0003396485,0.1291665],"study_design_scores_gemma":[0.0007531263,0.0002229449,0.006005246,0.00006534696,0.000002369731,0.000001079182,0.0001109383,0.9469416,0.007334287,0.03779691,0.0004070665,0.0003591002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5426921,0.00001221934,0.4561792,0.00009877774,0.0001288429,0.0000802132,0.000004048078,0.00009080877,0.0007137753],"genre_scores_gemma":[0.9943647,0.000007440331,0.004702014,0.0006648325,0.00004001294,0.00002085444,0.000006416889,0.000004675378,0.0001890969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.942832,"threshold_uncertainty_score":0.4522903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008070491061076835,"score_gpt":0.2583785122346028,"score_spread":0.250308021173526,"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."}}