{"id":"W7117132712","doi":"10.1016/j.jretai.2025.12.003","title":"Retail Metaverse acceptance: A meta-analysis with Hofstede’s cultural moderation","year":2025,"lang":"en","type":"article","venue":"Journal of Retailing","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ted Rogers Centre for Heart Research; University of Toronto; University of New Brunswick","funders":"","keywords":"Metaverse; Operationalization; Moderation; Feeling; Consumer behaviour; Usability; Hofstede's cultural dimensions theory; Self-determination theory","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":[0.0007698728,0.0001342239,0.0006243655,0.0003700114,0.0001580509,0.0004026894,0.0005811622,0.00005281571,0.00004247888],"category_scores_gemma":[0.0001037328,0.00008103583,0.0006803206,0.001743166,0.00003259258,0.001408813,0.00005968926,0.0002288769,0.000004026304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007233887,"about_ca_system_score_gemma":0.0001802785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001529808,"about_ca_topic_score_gemma":0.00003712505,"domain_scores_codex":[0.9985986,0.00009723418,0.0005116378,0.0001974469,0.0004290027,0.000166101],"domain_scores_gemma":[0.9982819,0.0000872953,0.0004800108,0.0004412459,0.0006154256,0.0000941168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003382592,0.0005553239,0.001463144,0.0001095083,0.3836708,0.0001550857,0.005301108,0.3602428,0.008843027,0.1657818,0.0041541,0.06938511],"study_design_scores_gemma":[0.00199354,0.0006641445,0.003184699,0.00005547855,0.2523527,0.0002548055,0.001837678,0.685321,0.01788195,0.008288449,0.02732452,0.0008410807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03313169,0.00103,0.959764,0.003933763,0.0000482486,0.00009704975,0.000002051738,0.00002313156,0.001970085],"genre_scores_gemma":[0.9405403,0.00007275333,0.05810607,0.0004494277,0.0000242073,0.000004387316,0.000001549571,0.000003455539,0.0007978784],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9074086,"threshold_uncertainty_score":0.3883143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08200862129608981,"score_gpt":0.3288371365250333,"score_spread":0.2468285152289434,"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."}}