{"id":"W3020868554","doi":"10.5267/j.msl.2020.4.033","title":"Factors affecting private customers in adopting mobile banking in Vietnam","year":2020,"lang":"en","type":"article","venue":"Management Science Letters","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile banking; Business; Marketing; Vietnamese","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":[0.0005345596,0.00008936042,0.0001250613,0.0003159275,0.0006840742,0.001540324,0.0001543703,0.0003299039,0.002286697],"category_scores_gemma":[0.002329837,0.0001373855,0.0001210733,0.0005314859,0.0003320524,0.0004802697,0.0003064616,0.0003368539,0.0001597627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006693772,"about_ca_system_score_gemma":0.000874556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02474431,"about_ca_topic_score_gemma":0.02399441,"domain_scores_codex":[0.9995614,0.0001401564,0.0000365052,0.00003194277,0.00009061875,0.0001395099],"domain_scores_gemma":[0.9980246,0.0006172262,0.0005267017,0.00004525743,0.0003222181,0.0004640291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006445075,0.0001771891,0.9727108,0.00004107768,0.00001725429,0.0008359022,0.01419743,0.0001025785,0.0007492868,0.0002840464,0.000327621,0.01049236],"study_design_scores_gemma":[0.000004761012,0.0001261449,0.9307181,0.00003917902,0.00001675859,0.000511033,0.06580987,0.0006898923,0.0002227396,0.0001083685,0.00173953,0.00001356275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993035,0.00003037825,0.00001586152,0.00006879609,0.000001166019,0.000003547547,0.00001028687,6.320704e-7,0.0005657132],"genre_scores_gemma":[0.9997181,0.00003526541,0.00002229494,0.00002279372,9.191853e-7,0.000002234452,0.00001116119,5.509463e-7,0.0001864521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02474431,"threshold_uncertainty_score":0.04920053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02284441474277664,"score_gpt":0.2307702055779599,"score_spread":0.2079257908351833,"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."}}