{"id":"W2182615877","doi":"","title":"A TAM Framework to Evaluate Usersâ Perception towards OnlineElectronic Payments","year":2007,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Technology acceptance model; Payment; Computer science; Perception; Domain (mathematical analysis); Measure (data warehouse); Range (aeronautics); World Wide Web; Knowledge management; Human–computer interaction; Usability; Database; Psychology; Engineering","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":[0.00627458,0.001121343,0.0006189924,0.003652227,0.000634107,0.00162682,0.0006519362,0.0008306471,0.005325614],"category_scores_gemma":[0.01613947,0.0002600922,0.0011139,0.002390678,0.0008360501,0.00225796,0.001304418,0.00098418,0.001176872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001179299,"about_ca_system_score_gemma":0.001544579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001164927,"about_ca_topic_score_gemma":0.00114698,"domain_scores_codex":[0.9938241,0.003447369,0.0004507948,0.0002456617,0.001748343,0.0002837888],"domain_scores_gemma":[0.9894909,0.00596644,0.001298665,0.000578802,0.002348559,0.0003166714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000695312,0.002371028,0.3887491,0.001810486,0.0006470231,0.0007287141,0.01422031,0.01516971,0.01810631,0.1044205,0.009239127,0.4438424],"study_design_scores_gemma":[0.0004342072,0.01350249,0.497711,0.002777665,0.001137363,0.0035522,0.04926711,0.1936002,0.03196571,0.08056064,0.1249151,0.0005763706],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6467316,0.001318413,0.2634877,0.001446983,0.0002302241,0.006329962,0.00388308,0.001037787,0.07553425],"genre_scores_gemma":[0.9261903,0.0004329914,0.06465905,0.0002088518,0.00002629782,0.003825473,0.001080468,0.00003106926,0.003545611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00627458,"threshold_uncertainty_score":0.03318357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08380335667589398,"score_gpt":0.4091619524221311,"score_spread":0.3253585957462372,"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."}}