{"id":"W2270494975","doi":"10.5539/ijms.v8n1p117","title":"Predicting Consumer Intention to Use Mobile Payment Services: Empirical Evidence from Vietnam","year":2016,"lang":"en","type":"article","venue":"International Journal of Marketing Studies","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile payment; Vietnamese; Business; Payment; Marketing; Empirical evidence; Consumer behaviour; Empirical research; Service (business); Service provider; Advertising","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":[0.001426485,0.0001669586,0.0001982991,0.0005754574,0.0003723646,0.0007702326,0.000181415,0.000255365,0.002032272],"category_scores_gemma":[0.004450763,0.0001691791,0.0003115388,0.001047647,0.0004654686,0.0004342656,0.0002951546,0.0004886248,0.0001846808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005177594,"about_ca_system_score_gemma":0.0006779288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04117776,"about_ca_topic_score_gemma":0.03212306,"domain_scores_codex":[0.9996576,0.0001385385,0.00002858145,0.00003674982,0.00008071836,0.00005775303],"domain_scores_gemma":[0.9961125,0.002358637,0.0005777999,0.0000991215,0.0005722502,0.0002796854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004845191,0.0001913562,0.9814411,0.00007217035,0.00004320756,0.0001038433,0.00551476,0.00009942948,0.0001941745,0.0002405107,0.0002200036,0.01183099],"study_design_scores_gemma":[0.00000823682,0.0001561114,0.9869496,0.00009183006,0.00005230234,0.0001071768,0.01000819,0.001280093,0.0001894028,0.0001125613,0.001036824,0.00000761734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988833,0.0000788742,0.00005973455,0.00007248459,0.000001700539,0.000006515418,0.00004996133,5.8228e-7,0.0008468466],"genre_scores_gemma":[0.9993793,0.0002156624,0.0001042827,0.00002828894,0.000001965878,0.000006716975,0.00008744773,0.000001225697,0.000175107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04117776,"threshold_uncertainty_score":0.08187616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2091142231510354,"score_gpt":0.451899321319693,"score_spread":0.2427850981686576,"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."}}