{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000987345,0.0003990527,0.0004064261,0.0005138987,0.0009343316,0.001067723,0.0005411924,0.0008190883,0.001021495],"category_scores_gemma":[0.002042611,0.000129296,0.0002531211,0.0004871331,0.0007772986,0.001489663,0.001159296,0.0004603463,0.0002587815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045626,"about_ca_system_score_gemma":0.0008567921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001365296,"about_ca_topic_score_gemma":0.001041763,"domain_scores_codex":[0.9985594,0.0005321394,0.0000876642,0.0001143304,0.0003801167,0.0003264129],"domain_scores_gemma":[0.9982085,0.0005439793,0.0002889034,0.0006035441,0.0002914285,0.00006360508],"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":[0.002384224,0.0001958019,0.007249329,0.0003123461,0.0001206529,0.001951463,0.0009003039,0.3033847,0.1387956,0.318924,0.007277556,0.2185041],"study_design_scores_gemma":[0.00006821616,0.0004991967,0.001659094,0.00004990739,0.00003645889,0.0006064812,0.0001487525,0.8865322,0.05793015,0.04024104,0.01216176,0.00006679742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3652886,0.001861727,0.6159531,0.0006470957,0.0002192484,0.0001539126,0.0001181655,0.001200658,0.01455756],"genre_scores_gemma":[0.9907845,0.0001033483,0.008054398,0.00006160262,0.00002062275,0.00001680977,0.00003022304,0.000005489325,0.0009229077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001365296,"threshold_uncertainty_score":0.007586598,"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."}}