{"id":"W2790384754","doi":"10.1109/infocom.2018.8485912","title":"Fast and Reliable Tag Search in Large-Scale RFID Systems: A Probabilistic Tree-based Approach","year":2018,"lang":"en","type":"article","venue":"","topic":"RFID technology advancements","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Scalability; Hash function; Bottleneck; Probabilistic logic; Node (physics); Reliability (semiconductor); Consistent hashing; Tree (set theory); Search tree; Hash tree; Hash table; Theoretical computer science; Search algorithm; Algorithm; Double hashing; Database; Embedded system; Computer security; Mathematics; Artificial intelligence","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":[0.0002436979,0.0001387469,0.0001879721,0.0001767294,0.0000454452,0.00002392216,0.0001451901,0.0001304313,0.00003196899],"category_scores_gemma":[0.00002082132,0.0001308832,0.00001262936,0.0003530195,0.000109869,0.00009982701,0.00004902839,0.0001866084,0.00005125436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001023368,"about_ca_system_score_gemma":0.00001599354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003781682,"about_ca_topic_score_gemma":0.0001310338,"domain_scores_codex":[0.9989861,0.00001831816,0.0002026387,0.0002651501,0.0001260707,0.0004017053],"domain_scores_gemma":[0.9995465,0.00002262999,0.00001247934,0.0003272983,0.00003869661,0.00005235357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001750299,0.001246936,0.3269843,0.004603274,0.0001721399,0.00005423442,0.002239068,0.619056,0.01620957,0.01606128,0.005196938,0.008001259],"study_design_scores_gemma":[0.001042495,0.00008662285,0.002251156,0.00006022857,0.000005630672,0.000004680846,0.0004781081,0.9922091,0.002437117,0.0001248825,0.00110443,0.0001955904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6932045,0.0003929555,0.2516591,0.0000529595,0.0002339738,0.001155104,0.00001744167,0.001153445,0.05213053],"genre_scores_gemma":[0.9832358,0.000007004714,0.0158484,0.00001756453,0.00002813678,0.0001405301,0.000008727353,0.00003125697,0.0006825589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3731531,"threshold_uncertainty_score":0.5337264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009918121163839156,"score_gpt":0.2201675843852608,"score_spread":0.2102494632214216,"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."}}