{"id":"W4289529023","doi":"10.3390/s22155733","title":"BEST—Blockchain-Enabled Secure and Trusted Public Emergency Services for Smart Cities Environment","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Trent University; Jawaharlal Nehru University; Nottingham Trent University","keywords":"Computer security; Computer science; Smart city; Service (business); Service provider; Smart grid; Transparency (behavior); Context (archaeology); Message queue; Single point of failure; Computer network; Internet of Things; Engineering; Business","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001351129,0.000496735,0.0006754562,0.0007272759,0.00171176,0.00201797,0.001326338,0.001173559,0.00719391],"category_scores_gemma":[0.002813554,0.0003405798,0.0005309117,0.0008795035,0.001656541,0.003739823,0.00337853,0.001219071,0.001631749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578,"about_ca_system_score_gemma":0.003318407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006107239,"about_ca_topic_score_gemma":0.006810789,"domain_scores_codex":[0.9981919,0.0005201469,0.0001279829,0.0002248083,0.0005509067,0.0003842088],"domain_scores_gemma":[0.998423,0.0003563201,0.0001695707,0.0004365888,0.000376367,0.0002381415],"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":[0.001226313,0.0002826017,0.002953709,0.0005530612,0.0001128606,0.002235242,0.0009742974,0.4315907,0.01609233,0.3718035,0.02340824,0.1487672],"study_design_scores_gemma":[0.0001237346,0.0001274617,0.0003401436,0.00007234557,0.00003216285,0.0003781819,0.0001681817,0.8336461,0.007559489,0.114161,0.04333357,0.00005768486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07320661,0.001297661,0.8782685,0.002599214,0.000389796,0.0006090812,0.000724861,0.004405327,0.03849895],"genre_scores_gemma":[0.9272379,0.000703605,0.05726201,0.0002235901,0.00006966446,0.0002107345,0.0004691503,0.0001321178,0.01369124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00719391,"threshold_uncertainty_score":0.02406609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219097212609467,"score_gpt":0.2123481607189598,"score_spread":0.2001571885928651,"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."}}