{"id":"W2944068553","doi":"10.3390/s19092144","title":"Routing Protocols for Low Power and Lossy Networks in Internet of Things Applications","year":2019,"lang":"en","type":"review","venue":"Sensors","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Population and Public Health; Ministério da Ciência, Tecnologia, Inovações e Comunicações; SENSHIN Medical Research Foundation; Conselho Nacional de Desenvolvimento Científico e Tecnológico; King Saud University; Fundação para a Ciência e a Tecnologia; Instituto Nacional de Telecomunicações","keywords":"Computer network; Computer science; Routing protocol; Policy-based routing; Link-state routing protocol; IPv6; Dynamic Source Routing; Static routing; Routing domain; Interior gateway protocol; 6LoWPAN; Distributed computing; Wireless Routing Protocol; Routing (electronic design automation); The Internet; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002479906,0.0009798234,0.0008592866,0.002148082,0.001152431,0.003699035,0.001824785,0.002181875,0.003125984],"category_scores_gemma":[0.003439011,0.0006740449,0.0007946267,0.004078866,0.001278376,0.004725554,0.001838564,0.00376633,0.002636505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001174929,"about_ca_system_score_gemma":0.001204288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000782455,"about_ca_topic_score_gemma":0.0008356495,"domain_scores_codex":[0.9972058,0.0009260617,0.0004068143,0.0003211593,0.0009815189,0.0001585866],"domain_scores_gemma":[0.998136,0.000810902,0.0001887275,0.0002535563,0.0005647893,0.00004588699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006855516,0.0001112081,0.0004636461,0.001999992,0.00006692201,0.0007366759,0.0008616039,0.008618767,0.008727364,0.5712572,0.0433096,0.3637785],"study_design_scores_gemma":[0.00001545306,0.000131787,0.0005705446,0.001112083,0.00006178685,0.001222241,0.0003660301,0.01917019,0.004854161,0.1683552,0.8040425,0.00009800328],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.006244969,0.2149528,0.68354,0.008990062,0.005953276,0.0006693924,0.000380063,0.001089429,0.07818012],"genre_scores_gemma":[0.1223733,0.3497132,0.4484324,0.007231587,0.007223384,0.002066948,0.002373575,0.000765945,0.05981972],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003699035,"threshold_uncertainty_score":0.01311517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04132885037994975,"score_gpt":0.3374846557603303,"score_spread":0.2961558053803805,"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."}}