{"id":"W3004829098","doi":"10.3390/s20030928","title":"Hy-Bridge: A Hybrid Blockchain for Privacy-Preserving and Trustful Energy Transactions in Internet-of-Things Platforms","year":2020,"lang":"en","type":"article","venue":"Sensors","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Blockchain; Bridge (graph theory); Computer security; Internet privacy; Internet of Things; The Internet; Computer science; World Wide Web; Biology","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":[0.000145654,0.0001212448,0.0002041606,0.000128245,0.00006034716,0.00002481971,0.0006660642,0.00008857618,0.000008020239],"category_scores_gemma":[0.00008222244,0.0001196614,0.00005926771,0.0003376158,0.00007509265,0.00009929178,0.0001490365,0.0001716069,9.718715e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000166493,"about_ca_system_score_gemma":0.00003002814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001916976,"about_ca_topic_score_gemma":0.00002031715,"domain_scores_codex":[0.9990327,0.00001299167,0.0002730084,0.0003717833,0.0000925826,0.0002168809],"domain_scores_gemma":[0.999314,0.0001138833,0.00008521601,0.0003517471,0.00004027804,0.00009490693],"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":[0.0001540795,0.0003901219,0.001156209,0.000357371,0.0001555196,0.00004440613,0.0341289,0.001527549,0.005195328,0.4772324,0.0009885422,0.4786696],"study_design_scores_gemma":[0.0004853601,0.00009302322,0.0001789217,0.00001814835,0.000006155823,0.00001513209,0.00008104085,0.9496588,0.02148678,0.02444673,0.003378659,0.0001512278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4954515,0.00006708967,0.5005223,0.00363595,0.00002498564,0.0001391365,0.000002751072,0.0000985906,0.00005780646],"genre_scores_gemma":[0.9680014,0.00001726042,0.03144106,0.0004113637,0.0000123099,0.00005005423,0.000001592837,0.000009778883,0.0000551367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9481313,"threshold_uncertainty_score":0.4879651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01788687356037288,"score_gpt":0.2307553354137394,"score_spread":0.2128684618533665,"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."}}