{"id":"W3087454209","doi":"10.1016/j.comnet.2020.107558","title":"IoT in medical & pharmaceutical: Designing lightweight RFID security protocols for ensuring supply chain integrity","year":2020,"lang":"en","type":"article","venue":"Computer Networks","topic":"RFID technology advancements","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Vanier College","funders":"","keywords":"Computer science; Supply chain; Internet of Things; Protocol (science); Computer security; Blockchain; Data integrity; Cryptographic protocol; Embedded system; Cryptography; Business","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004255166,0.000277673,0.0003914731,0.00008698257,0.00006031986,0.00003734363,0.0005482374,0.0003872735,0.00006175091],"category_scores_gemma":[0.00007018174,0.0002923466,0.00007507225,0.0003486396,0.00006929286,0.00009177306,0.0002307119,0.001343716,0.00001688473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009740609,"about_ca_system_score_gemma":0.00002293827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001126652,"about_ca_topic_score_gemma":0.00001049495,"domain_scores_codex":[0.9982011,0.00006974414,0.0004679688,0.0004159946,0.0002217655,0.0006234379],"domain_scores_gemma":[0.9991791,0.0002307638,0.00004356585,0.0002559397,0.00003706092,0.0002535337],"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":[0.0004093533,0.0004469914,0.03948787,0.001659417,0.0004271407,0.0004021803,0.002375822,0.5520504,0.001295956,0.003400725,0.04332764,0.3547165],"study_design_scores_gemma":[0.001352776,0.00005673516,0.0002590541,0.0002807898,0.000007075636,0.000008999126,0.000002983607,0.9482168,0.002441023,0.000565793,0.04651584,0.000292111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02058873,0.0002949315,0.9703797,0.0009210517,0.0004478135,0.006291532,0.000004482625,0.0009967887,0.00007501711],"genre_scores_gemma":[0.9070629,0.00005010057,0.08499929,0.001143752,0.001283953,0.005334986,0.00002896234,0.00009181761,0.000004203389],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8864742,"threshold_uncertainty_score":0.9999529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04033999035970266,"score_gpt":0.3116489067352946,"score_spread":0.2713089163755919,"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."}}