{"id":"W1600377859","doi":"10.1002/wcm.2612","title":"Secure machine‐type communications in LTE networks","year":2015,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Computer security; Authentication (law)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000800564,0.0001811639,0.0002434789,0.0001440011,0.0004221753,0.0001826441,0.003645729,0.0000901001,0.000001438517],"category_scores_gemma":[0.00005613147,0.0001940446,0.00003578829,0.0009158986,0.0002675258,0.0004434087,0.004261528,0.000530887,0.00001130354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008955968,"about_ca_system_score_gemma":0.0001061044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008732166,"about_ca_topic_score_gemma":0.0001443743,"domain_scores_codex":[0.9982758,0.0004083106,0.0004907275,0.00035468,0.0001652154,0.0003053113],"domain_scores_gemma":[0.9946927,0.0004012854,0.0002253525,0.004238856,0.0002678551,0.0001739158],"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":[0.000007769191,0.0005446469,0.009587263,0.00002446931,0.00002033821,0.0000023399,0.008832195,0.006363512,0.00007576401,0.6960709,0.00007390987,0.2783968],"study_design_scores_gemma":[0.0004721028,0.000055051,0.0005956399,0.0000740796,0.000003789442,0.000015392,0.0002694116,0.9757519,0.00001461233,0.009082269,0.01345152,0.0002142451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01459954,0.006679228,0.9725578,0.001551761,0.0001437651,0.002492835,0.000003591332,0.0003438086,0.001627661],"genre_scores_gemma":[0.8968306,0.000629911,0.1018168,0.0001827617,0.00001702215,0.0004533043,0.00003114288,0.00001567281,0.00002279867],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9693884,"threshold_uncertainty_score":0.7912908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04845583041943916,"score_gpt":0.3380534845095365,"score_spread":0.2895976540900974,"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."}}