{"id":"W4388294466","doi":"10.1007/s10723-023-09698-3","title":"Modeling Distributed and Configurable Hierarchical Blockchain over SDN and Fog-Based Networks for Large-Scale Internet of Things","year":2023,"lang":"en","type":"article","venue":"Journal of Grid Computing","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Scalability; Blockchain; Implementation; Industrial Internet; Internet of Things; Latency (audio); Distributed computing; Computer network; The Internet; Context (archaeology); Low latency (capital markets); Computer security; World Wide Web; Telecommunications; Database; Software engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001218274,0.0001077867,0.0002917874,0.0001692761,0.000149141,0.0000593347,0.0003952489,0.0001143823,7.308225e-7],"category_scores_gemma":[0.00007023157,0.0000964371,0.00007413534,0.000343186,0.00005914528,0.00007187129,0.0002381274,0.000359361,1.192119e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000016161,"about_ca_system_score_gemma":0.0000372437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009697441,"about_ca_topic_score_gemma":0.000002202703,"domain_scores_codex":[0.998876,0.00004042184,0.0004756166,0.0002033694,0.0001440663,0.0002605511],"domain_scores_gemma":[0.9989611,0.0003422015,0.0002771987,0.0001728786,0.0001652295,0.00008138725],"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":[0.0002136164,0.000473068,0.01007659,0.0003721775,0.0002995107,0.00005341437,0.004908171,0.7499543,0.001585181,0.1546195,0.003672958,0.07377146],"study_design_scores_gemma":[0.0007714499,0.0001201327,0.0004033053,0.0001016528,0.00001226186,0.00003897945,0.00006224521,0.9918013,0.0002801126,0.006109349,0.0002083202,0.00009091221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.402483,0.0001684004,0.5963981,0.0007410518,0.00008770575,0.00007381533,0.000003521611,0.00004060569,0.000003792451],"genre_scores_gemma":[0.962185,0.00001376313,0.03756462,0.0001372156,0.00008378502,0.00000208448,0.000003481998,0.000007047744,0.000002989981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.559702,"threshold_uncertainty_score":0.3932591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108223390744537,"score_gpt":0.2449900403055786,"score_spread":0.2341677012311249,"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."}}