{"id":"W3185921112","doi":"10.1002/ett.4332","title":"Intelligent blockchain management for distributed knowledge graphs in IoT 5G environments","year":2021,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Knowledge graph; Blockchain; Matching (statistics); Theoretical computer science; Usability; Graph; Internet of Things; Set (abstract data type); Distributed computing; Artificial intelligence; Human–computer interaction; Mathematics; Programming language; World Wide Web","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":[0.002453985,0.0006547538,0.0008434934,0.001492257,0.001983192,0.002270814,0.001737715,0.001560003,0.004460314],"category_scores_gemma":[0.008201257,0.0003202571,0.0006269069,0.001806432,0.0009634478,0.005770789,0.003410264,0.001229341,0.0006058222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001832189,"about_ca_system_score_gemma":0.002789929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008815037,"about_ca_topic_score_gemma":0.009623358,"domain_scores_codex":[0.9978306,0.0006948602,0.0001271859,0.0005325887,0.0005728165,0.0002419827],"domain_scores_gemma":[0.9961669,0.001901606,0.0003501371,0.0009016742,0.000407171,0.0002725609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004791408,0.0005223565,0.004728204,0.0002836668,0.00009704378,0.0007526098,0.0005771004,0.5694627,0.007502618,0.08824421,0.006732622,0.3206178],"study_design_scores_gemma":[0.00003018367,0.00003982642,0.0003223303,0.00001625826,0.00001309189,0.00007561135,0.0001708123,0.9350365,0.002835763,0.05822233,0.003226124,0.00001113456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09902742,0.0003492673,0.8912052,0.0011075,0.00007633778,0.0004189855,0.0005376561,0.002474683,0.004802911],"genre_scores_gemma":[0.7898771,0.0002718346,0.2043206,0.0001640296,0.00003120365,0.0001838267,0.001045729,0.0001257788,0.003979971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008815037,"threshold_uncertainty_score":0.01752746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01888148054585944,"score_gpt":0.2712149573445452,"score_spread":0.2523334767986858,"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."}}