{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004181941,0.0002413039,0.0003043044,0.0003663644,0.0007734678,0.001243271,0.0007392027,0.0005910835,0.002054831],"category_scores_gemma":[0.0007194311,0.000149626,0.0003045262,0.0005211284,0.0008577397,0.002371157,0.001530869,0.0004908398,0.000292812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006546358,"about_ca_system_score_gemma":0.001232492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003766659,"about_ca_topic_score_gemma":0.004961682,"domain_scores_codex":[0.9997017,0.00007673366,0.00001764822,0.00006753927,0.00007988625,0.00005649768],"domain_scores_gemma":[0.9996433,0.00009732547,0.00004431213,0.0000679635,0.00007079107,0.00007620885],"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":[0.000488657,0.0002720636,0.008603714,0.0002200188,0.0001196503,0.001506847,0.0007350757,0.3516934,0.03256138,0.4771396,0.003757842,0.1229018],"study_design_scores_gemma":[0.0000285868,0.0001200596,0.0006678712,0.00001843762,0.00002127137,0.0002523228,0.0001643583,0.9080225,0.004079291,0.07730667,0.009292719,0.00002586965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2203932,0.00048182,0.7499557,0.001075643,0.0001118093,0.0002087374,0.0001481342,0.0004726553,0.02715224],"genre_scores_gemma":[0.9425164,0.0002681197,0.05232291,0.00009003765,0.00002087874,0.00008351839,0.00008598551,0.00001743355,0.004594724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003766659,"threshold_uncertainty_score":0.007489443,"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."}}