{"id":"W1638344160","doi":"10.1109/iwcmc.2015.7289218","title":"Proactive maintenance in RPL for 6LowPAN","year":2015,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"6LoWPAN; IPv6; Routing protocol; Computer science; Computer network; Packet loss; Network packet; Testbed; Distributed computing; The Internet; Operating system","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":[0.002053147,0.0007513171,0.0004583245,0.0004999423,0.0007496693,0.00150453,0.002403591,0.0008700059,0.001360684],"category_scores_gemma":[0.005169207,0.0004519821,0.0004231359,0.0002990809,0.0009167748,0.001982857,0.001229424,0.001576896,0.0005268621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005399841,"about_ca_system_score_gemma":0.0007763207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009635244,"about_ca_topic_score_gemma":0.0009698323,"domain_scores_codex":[0.9982361,0.000390874,0.0001636432,0.0002866877,0.0007171119,0.0002056205],"domain_scores_gemma":[0.995915,0.001140395,0.0007048472,0.001462416,0.0005737421,0.0002035929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001484538,0.001419619,0.0110373,0.00164904,0.0003040955,0.001545281,0.001583664,0.2870309,0.2101873,0.04356248,0.02391269,0.4162831],"study_design_scores_gemma":[0.0001625754,0.001059545,0.002479735,0.00009490576,0.000134819,0.000777416,0.0001058001,0.8473033,0.1014174,0.008760176,0.0375813,0.0001230588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1757339,0.001522539,0.7743439,0.0009624781,0.0007249448,0.0006846786,0.0002434775,0.0335946,0.01218945],"genre_scores_gemma":[0.7929225,0.0002759841,0.2017933,0.0004951778,0.0001093875,0.0003163225,0.0003167003,0.0007907086,0.002979906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002403591,"threshold_uncertainty_score":0.01085818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05154487326616233,"score_gpt":0.2668849882147223,"score_spread":0.21534011494856,"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."}}