{"id":"W3092616639","doi":"10.1109/jiot.2020.3029138","title":"Smart Micro-GaS: A Cognitive Micro Natural Gas Industrial Ecosystem Based on Mixed Blockchain and Edge Computing","year":2020,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Deanship of Scientific Research, King Saud University","keywords":"Computer science; Natural gas; Blockchain; Edge computing; Testbed; Database transaction; Smart contract; Enhanced Data Rates for GSM Evolution; Distributed computing; Computer security; Computer network; Telecommunications; Database; 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":[0.0007426536,0.0002376659,0.0003895839,0.000221055,0.0001631232,0.0001965151,0.001045123,0.0002320358,0.000006737636],"category_scores_gemma":[0.0001962872,0.0002171216,0.0001413009,0.0003062029,0.0001212638,0.0001256224,0.0002519206,0.001381147,0.00001036463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005918989,"about_ca_system_score_gemma":0.0000910002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002353802,"about_ca_topic_score_gemma":0.00000477969,"domain_scores_codex":[0.9981984,0.0001785109,0.0005889941,0.0004378471,0.0002715517,0.0003246643],"domain_scores_gemma":[0.998493,0.000326559,0.0005669675,0.0002094264,0.0002221738,0.0001818872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002587565,0.002372317,0.01792672,0.0006967696,0.001974771,0.001304893,0.06492089,0.0008431684,0.2521305,0.01360635,0.0658579,0.5757781],"study_design_scores_gemma":[0.002887243,0.0006871544,0.0001173219,0.0007858162,0.00004260261,0.0006657326,0.0003147065,0.7714283,0.2207445,0.0008093789,0.001128528,0.0003886774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8840948,0.0001622681,0.1076882,0.006885229,0.0007656046,0.0002176625,0.000007672327,0.0001107851,0.00006775042],"genre_scores_gemma":[0.9886627,0.00000440035,0.009444114,0.001616162,0.000242416,0.000003659498,0.000001419865,0.00001408774,0.00001107185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7705852,"threshold_uncertainty_score":0.8853964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190022495336861,"score_gpt":0.2326068346896525,"score_spread":0.2136045851559664,"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."}}