{"id":"W4312953992","doi":"10.1109/bcca55292.2022.9922433","title":"Towards a middleware design for efficient blockchain oracles selection","year":2022,"lang":"en","type":"article","venue":"","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Oracle; Middleware (distributed applications); Distributed computing; Service provider; Bridging (networking); Random oracle; Heuristic; Blockchain; Service (business); Selection (genetic algorithm); Database; Computer network; Computer security; Software engineering; Machine learning; Artificial intelligence","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":[0.00149916,0.0006768684,0.0007182471,0.0006640441,0.0008312644,0.002199217,0.002245314,0.001076352,0.001933979],"category_scores_gemma":[0.003794693,0.0005060924,0.0004434963,0.0007705696,0.0006150617,0.002605977,0.002289877,0.001071549,0.0008894827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001201517,"about_ca_system_score_gemma":0.00177283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001841913,"about_ca_topic_score_gemma":0.002300359,"domain_scores_codex":[0.9985928,0.0003545498,0.0001802075,0.0002677359,0.0003725336,0.0002321921],"domain_scores_gemma":[0.9984336,0.0003396798,0.000254806,0.0003697759,0.0003853871,0.0002166809],"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":[0.00125715,0.0005151169,0.01042064,0.001036315,0.0001783498,0.001140507,0.001120424,0.3433514,0.185082,0.09686325,0.01094991,0.3480849],"study_design_scores_gemma":[0.00008268679,0.0001866182,0.0005813908,0.00002947004,0.00005404064,0.0002843957,0.0002572481,0.9426503,0.03271824,0.01139973,0.01171571,0.00004022453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03299554,0.0004375857,0.9607527,0.0004639288,0.00006066143,0.0003178135,0.00006651829,0.002437467,0.002467694],"genre_scores_gemma":[0.5809769,0.0003164636,0.4151621,0.0001486452,0.00003668419,0.0003023296,0.0001983656,0.0001521191,0.002706404],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002245314,"threshold_uncertainty_score":0.008717597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02378359938700801,"score_gpt":0.248116792301658,"score_spread":0.22433319291465,"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."}}