{"id":"W4413913097","doi":"10.1080/10971475.2025.2540676","title":"Antecedents of E-CNY Adoption in China: A Cluster Analysis-Based UTAUT Model","year":2025,"lang":"en","type":"article","venue":"Chinese Economy","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"China; Cluster (spacecraft); Economic geography; Business; Econometrics; Economics; Geography; Computer science","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":[0.0009684692,0.0001521169,0.0004793157,0.002196778,0.00005159837,0.00005485334,0.0006462771,0.0001688786,0.0002184521],"category_scores_gemma":[0.0002999704,0.0001170329,0.0002444558,0.002565121,0.00009135486,0.0002627152,0.000127412,0.0001866632,0.00005507916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005727898,"about_ca_system_score_gemma":0.00009830091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003282609,"about_ca_topic_score_gemma":0.0002957498,"domain_scores_codex":[0.9983622,0.00006920014,0.0007782209,0.0004406087,0.0001778634,0.0001718754],"domain_scores_gemma":[0.9987786,0.0001300191,0.0002411456,0.0006980944,0.0001101676,0.0000419491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003789967,0.0001312182,0.9499165,0.000005060617,0.00003276744,0.000001396938,0.00009053734,0.04711695,0.00004147206,0.0009041351,0.0003212102,0.001400864],"study_design_scores_gemma":[0.0006233726,0.000008622371,0.6073537,0.000008696831,0.00003082374,2.78101e-7,0.00004037595,0.3750398,0.00004954292,0.01664487,0.000126564,0.00007331082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9309596,0.00005018423,0.06226085,0.001326764,0.0001135707,0.0001673287,0.0000123287,0.00004977712,0.005059567],"genre_scores_gemma":[0.9968923,0.000003077619,0.001172975,0.0004008645,0.000006713569,0.00002576738,0.000009988371,0.00000514883,0.001483163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3425627,"threshold_uncertainty_score":0.4772464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03583439897860697,"score_gpt":0.3696539152557551,"score_spread":0.3338195162771481,"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."}}