{"id":"W2899142767","doi":"10.1155/2018/4029591","title":"A Blockchain‐Based Contractual Routing Protocol for the Internet of Things Using Smart Contracts","year":2018,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Routing protocol; Network packet; Protocol (science); Routing (electronic design automation); Overhead (engineering); Distance-vector routing protocol; Algorithm; Dynamic Source Routing; Medicine; Operating system","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":[0.001862878,0.000399646,0.0005970491,0.0005503495,0.001241224,0.001170697,0.00140262,0.001438043,0.003699627],"category_scores_gemma":[0.002952496,0.0002474748,0.0004592503,0.001015764,0.00141173,0.003267487,0.001853343,0.001417479,0.0008233622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044228,"about_ca_system_score_gemma":0.001786748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002024901,"about_ca_topic_score_gemma":0.002253803,"domain_scores_codex":[0.9985435,0.000466469,0.0001159122,0.0001515513,0.0005945328,0.0001279246],"domain_scores_gemma":[0.9983006,0.0006338637,0.0002407606,0.0004183933,0.0002834038,0.0001231092],"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":[0.0003473996,0.0002189331,0.0007994516,0.0004388122,0.00007497976,0.0007889639,0.0006406149,0.1280647,0.02126942,0.6260196,0.01256159,0.2087755],"study_design_scores_gemma":[0.0001759303,0.000310955,0.0003119018,0.00008499407,0.00005106586,0.0005375675,0.0001149966,0.7182526,0.01272945,0.1831735,0.08413003,0.000126983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01486218,0.0005918001,0.971707,0.0009787803,0.0002923759,0.0004365979,0.0001564071,0.0006806329,0.01029429],"genre_scores_gemma":[0.658362,0.001472185,0.3197925,0.0006155217,0.0001636144,0.001327156,0.0005915996,0.0001345471,0.01754084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003699627,"threshold_uncertainty_score":0.01237649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03641422118397644,"score_gpt":0.3200429928121224,"score_spread":0.2836287716281459,"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."}}