{"id":"W4415004623","doi":"10.1145/3763076","title":"HEMVM: A Heterogeneous Blockchain Framework for Interoperable Virtual Machines","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ACM on Programming Languages","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; Mitacs","keywords":"Interoperability; Database transaction; Virtual machine; Blockchain; Transaction processing; Overhead (engineering)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004048533,0.0005722356,0.0006320378,0.0007843901,0.001115297,0.002409574,0.002799715,0.001162588,0.007319372],"category_scores_gemma":[0.004723841,0.0007079314,0.0007292482,0.0007225723,0.001279409,0.004937551,0.005022477,0.0019186,0.001534757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001193458,"about_ca_system_score_gemma":0.002648837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00313481,"about_ca_topic_score_gemma":0.003713134,"domain_scores_codex":[0.9978058,0.0007828128,0.0001578099,0.0002388941,0.0006621602,0.0003524745],"domain_scores_gemma":[0.9981399,0.0005197318,0.0001331822,0.0008031942,0.0001735618,0.0002304101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008571884,0.0003340269,0.003144149,0.0004973774,0.0001485153,0.0008814809,0.0009266362,0.1685734,0.02665853,0.5603091,0.01933039,0.2183392],"study_design_scores_gemma":[0.0002359989,0.0001922477,0.0004641791,0.000126728,0.00003551984,0.0003038514,0.0001380936,0.6572921,0.01649182,0.2198184,0.1048066,0.00009447437],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01449923,0.0002875327,0.96788,0.0003071556,0.00009790833,0.0002725659,0.0002431259,0.0100047,0.00640787],"genre_scores_gemma":[0.4914931,0.0007199997,0.4893626,0.0002804878,0.0001150204,0.0008112803,0.001810017,0.002292613,0.01311495],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007319372,"threshold_uncertainty_score":0.02448571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009744680520254822,"score_gpt":0.2773657686172373,"score_spread":0.2676210880969825,"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."}}