{"id":"W2604831683","doi":"10.24138/jcomss.v2i1.303","title":"Mobile IP Address Efficiency","year":2017,"lang":"en","type":"article","venue":"Journal of Communications Software and Systems","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; IPv4; Mobile IP; Computer network; Network address translation; NAT traversal; IP address management; Network address; IPv6; IPv6 address; Address space; Mobile computing; Host (biology); Protocol (science); Computer security; Node (physics); ARP spoofing; Wireless network; Internet Protocol; Telecommunications; Wireless; The Internet; World Wide Web","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":[0.0007736716,0.0001209165,0.0003126874,0.00007780408,0.0005039822,0.0002683817,0.001288544,0.00009687245,0.000005941825],"category_scores_gemma":[0.0001420181,0.000107973,0.00008695135,0.00005592471,0.0001571578,0.000357913,0.00019444,0.0003848268,0.000006554816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006094524,"about_ca_system_score_gemma":0.00003329729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003809319,"about_ca_topic_score_gemma":0.00003138396,"domain_scores_codex":[0.9989295,0.0001072325,0.0005243283,0.00007214666,0.0001986583,0.0001681579],"domain_scores_gemma":[0.9973431,0.0002265781,0.0003394487,0.001747923,0.0002388794,0.0001041372],"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":[0.0003285286,0.003231662,0.2931422,0.006394483,0.002955935,0.0001802503,0.04538675,0.175774,0.002396811,0.01377609,0.08924478,0.3671885],"study_design_scores_gemma":[0.005542194,0.001081398,0.0716419,0.003053202,0.0006058003,0.001586695,0.003481629,0.1880156,0.0003456474,0.002395422,0.7204521,0.001798385],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6743013,0.2569647,0.05010947,0.0002045857,0.005635321,0.00120968,0.00007080045,0.000373062,0.01113117],"genre_scores_gemma":[0.9959267,0.002788442,0.0009363661,0.000007525343,0.0001856312,0.00002189163,0.000002387718,0.00001908548,0.0001119414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6312073,"threshold_uncertainty_score":0.4403012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03079772461679717,"score_gpt":0.2854135742270668,"score_spread":0.2546158496102696,"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."}}