{"id":"W3032715233","doi":"10.1109/nca51143.2020.9306744","title":"Introducing Network Coding to RPL: The Chained Secure Mode (CSM)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Replay attack; Computer science; Computer network; Routing protocol; Resilience (materials science); Lossy compression; Computer security; Coding (social sciences); Routing (electronic design automation); 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":[0.002035605,0.0008157778,0.0004279736,0.001052782,0.0005707586,0.001463256,0.001282847,0.001083749,0.001676534],"category_scores_gemma":[0.005763814,0.0003307169,0.000419937,0.0006915429,0.00238344,0.002821142,0.002685393,0.002897737,0.0006626033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007676932,"about_ca_system_score_gemma":0.001200178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001038961,"about_ca_topic_score_gemma":0.0007737366,"domain_scores_codex":[0.9979013,0.0006416184,0.0001500621,0.0002459536,0.0008635061,0.0001975725],"domain_scores_gemma":[0.9960809,0.001106984,0.0004453196,0.001379211,0.0008812537,0.0001062944],"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":[0.0005260802,0.0001527735,0.001547863,0.0006686748,0.00007765613,0.0006886979,0.0010282,0.04523096,0.1151439,0.498836,0.008502017,0.3275971],"study_design_scores_gemma":[0.0001720981,0.001262972,0.0007528954,0.0003322021,0.0001079079,0.002167749,0.0002160919,0.5887558,0.1507146,0.1295468,0.1257081,0.0002626599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01160858,0.0004878033,0.9798101,0.0004078798,0.0002654777,0.0002256202,0.00004669241,0.001618951,0.005528828],"genre_scores_gemma":[0.5066917,0.001042911,0.4827239,0.001080632,0.0003515601,0.0008498611,0.0001779918,0.0003972078,0.006684332],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002035605,"threshold_uncertainty_score":0.01076543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488323660102211,"score_gpt":0.2600343332439921,"score_spread":0.23515109664297,"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."}}