{"id":"W2063633520","doi":"10.1145/2642687.2642699","title":"HiveSign","year":2014,"lang":"en","type":"article","venue":"","topic":"RFID technology advancements","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Boeing","keywords":"Computer science; Flexibility (engineering); Wireless; Key (lock); Authentication (law); Hash function; Distributed computing; Overhead (engineering); Computer network; Pseudorandom number generator; Wireless network; Message authentication code; Limit (mathematics); Identification (biology); Variety (cybernetics); Radio-frequency identification; Embedded system; Computer security; Cryptography; Telecommunications","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":[0.00001626906,0.00002661213,0.00002641216,0.00001914173,0.000006483404,0.000001629692,0.00004798195,0.0000197175,0.0001246659],"category_scores_gemma":[0.000005690963,0.0000252397,0.000004897394,0.00002797553,0.000007060043,0.00002809512,0.000005627737,0.00002882407,0.0003817522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005160356,"about_ca_system_score_gemma":2.834893e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.849368e-7,"about_ca_topic_score_gemma":4.544769e-7,"domain_scores_codex":[0.9998555,0.000001533402,0.00002964835,0.0000318884,0.00001825532,0.00006322793],"domain_scores_gemma":[0.9998894,0.000006904782,0.000001632176,0.00009090582,0.000001944412,0.000009224899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002306432,0.0000262466,0.006555451,0.0000382736,0.00006535529,0.000003668124,0.00005505732,0.02737147,0.1580725,0.3337972,0.06970999,0.4043025],"study_design_scores_gemma":[0.0005115988,0.00004350768,0.005297258,0.000006976364,0.000005247563,0.000004325391,0.00001490349,0.1532633,0.2954167,0.03397186,0.5111538,0.000310618],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0374679,0.00002465527,0.607325,0.00005243361,0.0001458081,0.00002911122,1.182605e-7,0.00140126,0.3535537],"genre_scores_gemma":[0.9875203,0.000003979701,0.01161125,0.00004331222,0.00001049924,0.000003786237,3.302349e-7,0.00000630143,0.0008002269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9500524,"threshold_uncertainty_score":0.490678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001947383832619104,"score_gpt":0.1514953800599494,"score_spread":0.1495479962273303,"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."}}