{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005068912,0.0002353835,0.0008484468,0.0001557863,0.00003593941,0.0001033316,0.0006598224,0.0002034231,4.84504e-7],"category_scores_gemma":[0.00003725972,0.0002029576,0.0001804612,0.0003427826,0.00003363596,0.0001109306,0.0003473072,0.0002897438,0.000008961124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000045386,"about_ca_system_score_gemma":0.00008199134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001187784,"about_ca_topic_score_gemma":3.06351e-7,"domain_scores_codex":[0.998463,0.00006966847,0.0005780223,0.0004740031,0.000106695,0.000308643],"domain_scores_gemma":[0.9986274,0.0003681217,0.0004399142,0.0004609616,0.00006039961,0.00004318613],"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":[0.000001242544,0.00002034994,0.00001837745,0.005385916,0.00001938108,0.000001046405,0.0004372695,0.00002927832,7.747349e-8,0.001452812,0.0002616212,0.9923726],"study_design_scores_gemma":[0.0001606622,0.00004810232,0.00000526024,0.01153492,0.00002461424,0.00001499647,0.000004511849,0.114069,0.000001435805,0.0001517102,0.8736984,0.0002863695],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002016999,0.6003858,0.3610733,0.0000254091,0.001306459,0.03602115,8.044494e-7,0.0001035412,0.001063463],"genre_scores_gemma":[0.0004248573,0.8148469,0.1411914,0.0004292729,0.004542692,0.03424339,0.00009836645,0.0003848838,0.00383828],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9920862,"threshold_uncertainty_score":0.8276371,"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."}}