{"id":"W4390989511","doi":"10.5267/j.ijdns.2023.11.014","title":"Factors affecting consumers’ behavioral intentions to use and adopt digital wallets","year":2024,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Technology acceptance model; Affect (linguistics); Perception; Risk perception; Usability; Value (mathematics); Government (linguistics); Psychology; Social influence; Marketing; Business; Advertising; Social psychology; Computer science","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":[0.0009787533,0.0001597344,0.0001328496,0.0004893438,0.0002530632,0.001398949,0.0001404473,0.0004796462,0.004069481],"category_scores_gemma":[0.003886835,0.0001517302,0.0003882879,0.0005051295,0.000307492,0.0006253497,0.0002950105,0.0006351356,0.0004765597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003042424,"about_ca_system_score_gemma":0.0004323221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003432829,"about_ca_topic_score_gemma":0.003809896,"domain_scores_codex":[0.9995406,0.0001428448,0.00004629395,0.0000405792,0.0001450778,0.00008451343],"domain_scores_gemma":[0.9964101,0.001691698,0.0009715341,0.0001233791,0.0005010878,0.0003021708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001591479,0.0006412654,0.9804875,0.00007944288,0.00005364052,0.0001820895,0.003643745,0.0001404996,0.001563178,0.0003005242,0.0001552745,0.01259385],"study_design_scores_gemma":[0.000007645576,0.0002632135,0.9876593,0.00004090734,0.00005859354,0.0001257258,0.009451397,0.0007456931,0.000517633,0.0002110014,0.0009048273,0.00001405962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981969,0.00005069462,0.0000872566,0.00008072695,0.000001535433,0.000009618363,0.00002787083,0.000002119122,0.001543222],"genre_scores_gemma":[0.9990049,0.0000934101,0.0001581177,0.00003253877,0.000003357753,0.000009074601,0.00006001564,0.00000153133,0.0006370599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004069481,"threshold_uncertainty_score":0.01361376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08082245099066793,"score_gpt":0.331793649480474,"score_spread":0.2509711984898061,"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."}}