{"id":"W4250251176","doi":"10.1002/wcm.465","title":"Introducing reliability and load balancing in mobile IPv6‐based networks","year":2006,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Computer science; Mobile IP; Computer network; Load balancing (electrical power); IPv6; Node (physics); Distributed computing; Reliability (semiconductor); Workload; Mobile computing; Operating system; The Internet","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001927493,0.0006497886,0.0003957541,0.0009114288,0.0006160907,0.001321862,0.001140336,0.0009684777,0.001328732],"category_scores_gemma":[0.005004611,0.0004048686,0.0003084945,0.0005567484,0.0007660515,0.002905534,0.001747684,0.001146164,0.0006570767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004352848,"about_ca_system_score_gemma":0.0004532112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006009996,"about_ca_topic_score_gemma":0.0003812654,"domain_scores_codex":[0.9985341,0.0005524832,0.00008669375,0.00009408903,0.0005592015,0.000173512],"domain_scores_gemma":[0.9975242,0.000857029,0.0002846444,0.0005408782,0.0006800379,0.0001131736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007324766,0.0003959216,0.003748283,0.0005502701,0.000153544,0.0009386502,0.001266554,0.2397282,0.1906331,0.1311969,0.008620282,0.4220358],"study_design_scores_gemma":[0.00007427623,0.0003396441,0.0008715593,0.00006528111,0.0000949207,0.0007435487,0.0001881923,0.866307,0.0569377,0.04450616,0.02980128,0.00007047055],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1001285,0.001410347,0.8865005,0.0008892323,0.000325397,0.0001090013,0.00002497705,0.001951018,0.008661129],"genre_scores_gemma":[0.8349536,0.0008623072,0.1591948,0.0001941829,0.0004009768,0.00009496246,0.0000899354,0.0001817504,0.004027478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001927493,"threshold_uncertainty_score":0.01019371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005262098147915495,"score_gpt":0.2192582242676955,"score_spread":0.2139961261197799,"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."}}