{"id":"W1976530853","doi":"10.1080/0144929x.2012.745608","title":"Realising M-Payments: modelling consumers' willingness to M-pay using Smart Phones","year":2012,"lang":"en","type":"article","venue":"Behaviour and Information Technology","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Payment; Business; Mobile payment; Willingness to pay; Willingness to accept; Marketing; Mobile phone; Smart phone; Phone; Perception; Internet privacy; Technology acceptance model; Investment (military); Advertising; Usability; Computer science; Telecommunications; Economics; Psychology; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001435429,0.0002441405,0.0003539303,0.0015955,0.0004279216,0.0001755722,0.0004795466,0.0005023073,0.00008395857],"category_scores_gemma":[0.0003933853,0.0001905144,0.00006575763,0.001481279,0.0002083198,0.004264094,0.0003144207,0.0003766618,0.0003118254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008392573,"about_ca_system_score_gemma":0.00004255788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000108199,"about_ca_topic_score_gemma":0.000003841585,"domain_scores_codex":[0.9975215,0.00005343014,0.0009749957,0.0002416276,0.0005606024,0.0006479096],"domain_scores_gemma":[0.9983949,0.00007620289,0.0003706746,0.0005728438,0.0003422702,0.0002431225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001570723,0.00006272198,0.9666851,0.000003542022,0.00000738278,6.400133e-7,0.001030452,0.000147614,0.0002423044,0.008012936,0.0004318772,0.02335969],"study_design_scores_gemma":[0.003113731,0.0003293722,0.7587817,0.0001927752,0.0002825978,0.001015006,0.03666019,0.01698038,0.02287835,0.008340684,0.1489999,0.002425316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8253548,0.0001260399,0.1720027,0.0009132752,0.0007067655,0.0002697319,0.00002885055,0.0003701489,0.0002277123],"genre_scores_gemma":[0.9818719,0.00003025366,0.01739612,0.0005104803,0.00002874496,0.00002786485,0.00001707932,0.00001353823,0.0001040313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2079035,"threshold_uncertainty_score":0.7768953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0884464393458705,"score_gpt":0.3600131298477374,"score_spread":0.2715666905018669,"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."}}