{"id":"W4388096120","doi":"10.5267/j.ijdns.2023.10.020","title":"Exploring metaverse-enabled innovation in banking: Leveraging NFTS, blockchain, and smart contracts for transformative business opportunities","year":2023,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metaverse; Transformative learning; Blockchain; Computer science; Business model; Business; Knowledge management; Data science; Marketing; Computer security; Sociology; Virtual reality; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.004806558,0.000229591,0.0003195096,0.002094588,0.001851364,0.00665078,0.0005902056,0.001464546,0.004975445],"category_scores_gemma":[0.006987045,0.000194343,0.0003666002,0.002236244,0.003199833,0.01009292,0.004949963,0.001126901,0.0004274769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002203692,"about_ca_system_score_gemma":0.003419916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009621145,"about_ca_topic_score_gemma":0.001900778,"domain_scores_codex":[0.997272,0.001723362,0.0000738299,0.0001909487,0.0003819552,0.0003578623],"domain_scores_gemma":[0.9924446,0.005316906,0.0007161505,0.0006967428,0.0004266643,0.0003990845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005559947,0.0008810763,0.1025532,0.0007209345,0.0000949176,0.001863435,0.06478189,0.007369197,0.007042351,0.5952756,0.001562642,0.2172988],"study_design_scores_gemma":[0.000178712,0.0013701,0.05909828,0.002149174,0.0001754354,0.002381297,0.1603272,0.09170835,0.01591265,0.5783529,0.08823009,0.0001157361],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9094267,0.0006365174,0.03256469,0.002243633,0.00001960924,0.0001657618,0.00008392968,0.00004172594,0.05481731],"genre_scores_gemma":[0.9944751,0.0002874243,0.004309998,0.00008660334,0.000004212146,0.00004654356,0.00002013013,0.000004113999,0.000765832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00665078,"threshold_uncertainty_score":0.02541983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1811883636153601,"score_gpt":0.3167673263811667,"score_spread":0.1355789627658067,"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."}}