{"id":"W4415046645","doi":"10.3390/jrfm18100573","title":"Drivers of Blockchain Adoption in Accounting and Auditing Services: Leveraging Theory of Planned Behavior with Identity and Moral Norms","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Theory of planned behavior; Audit; Structural equation modeling; Identity (music); Norm (philosophy); Financial services; Prospect theory; Accounting information system; Moral responsibility","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":[0.006150161,0.0003044513,0.0002512701,0.00131235,0.0006008315,0.00215435,0.0004071632,0.0005556545,0.001561063],"category_scores_gemma":[0.02009067,0.00029262,0.0007274654,0.001000996,0.001074689,0.001820008,0.001234122,0.001307192,0.0001471129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001651621,"about_ca_system_score_gemma":0.003198102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01261504,"about_ca_topic_score_gemma":0.01486791,"domain_scores_codex":[0.9968399,0.001893361,0.0001447624,0.0002999921,0.0005067908,0.0003151831],"domain_scores_gemma":[0.9742021,0.01728874,0.004943915,0.0007921044,0.001851416,0.0009216396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007977783,0.0004936292,0.9322369,0.0001127705,0.0001235635,0.000340789,0.01128813,0.00489399,0.0005334496,0.01127375,0.0003146356,0.03830857],"study_design_scores_gemma":[0.00003419299,0.0006969813,0.8323416,0.0002702172,0.0002095062,0.0003444508,0.02568773,0.1064325,0.001315419,0.02779773,0.004771582,0.00009812992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885004,0.00007681447,0.007378199,0.0006459274,0.00001013005,0.0001097356,0.0000527363,0.00001607494,0.003210009],"genre_scores_gemma":[0.9980884,0.00005296582,0.001622034,0.00001696249,0.000003138715,0.00002819329,0.00002999094,0.000002473118,0.0001558182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01261504,"threshold_uncertainty_score":0.03252554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005863494086519121,"score_gpt":0.2114188332049807,"score_spread":0.2055553391184615,"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."}}