{"id":"W4387415411","doi":"10.1109/mnet.2023.3320660","title":"Networking Parallel Web3 Metaverses for Interoperability","year":2023,"lang":"en","type":"article","venue":"IEEE Network","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Science, Technology and Innovation Commission of Shenzhen Municipality; National Natural Science Foundation of China","keywords":"Interoperability; Computer science; Inference; Key (lock); Field (mathematics); Monopolistic competition; Knowledge management; Knowledge sharing; Data science; Computer security; World Wide Web; Artificial intelligence","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":[0.004184475,0.0003755261,0.0004628943,0.00096946,0.002207172,0.00503483,0.001506979,0.002260505,0.01535102],"category_scores_gemma":[0.00975674,0.0003973411,0.0006473091,0.001346381,0.001784637,0.01172978,0.006780834,0.002251214,0.002886243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191351,"about_ca_system_score_gemma":0.002210688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00150814,"about_ca_topic_score_gemma":0.002161089,"domain_scores_codex":[0.9979657,0.0007206014,0.0001329027,0.0002805542,0.0006292755,0.0002709359],"domain_scores_gemma":[0.9928296,0.002107495,0.0004820926,0.003186699,0.0009112353,0.0004829773],"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":[0.0001900517,0.00009891492,0.001766344,0.0001921367,0.00005978401,0.0003926757,0.0006493207,0.02231391,0.004684404,0.8635911,0.01243509,0.09362628],"study_design_scores_gemma":[0.00004801343,0.00009344201,0.0004680239,0.0002590184,0.00003235765,0.0003036444,0.0004031607,0.1261794,0.006601058,0.7099406,0.1556291,0.00004207149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03849784,0.001197788,0.8631445,0.005509418,0.000506642,0.0003051096,0.0003168641,0.001417953,0.08910391],"genre_scores_gemma":[0.7941104,0.002312803,0.1712417,0.001341371,0.0004074727,0.0005356739,0.001058131,0.0003771739,0.02861531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01535102,"threshold_uncertainty_score":0.05135429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03216615470859672,"score_gpt":0.2709123210293328,"score_spread":0.2387461663207361,"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."}}