{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001373326,0.0004376136,0.000369147,0.0004837381,0.0004593328,0.002382453,0.0007803887,0.002814577,0.006203734],"category_scores_gemma":[0.006932723,0.0004173621,0.001025334,0.0006631176,0.0006701541,0.001729688,0.0007129551,0.001284816,0.0005402419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641201,"about_ca_system_score_gemma":0.0007159311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01719811,"about_ca_topic_score_gemma":0.01056817,"domain_scores_codex":[0.9995584,0.0002374848,0.0000188581,0.00004787748,0.00003675258,0.0001007063],"domain_scores_gemma":[0.9950582,0.004152543,0.000298322,0.0001084326,0.0001991047,0.0001833186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001736286,0.002717258,0.2872776,0.0002904385,0.0002698238,0.0009086393,0.005952669,0.6519384,0.002593343,0.02320228,0.001202386,0.02191087],"study_design_scores_gemma":[0.00007931412,0.0005852684,0.02338806,0.00003643163,0.0000943368,0.00008276445,0.003233963,0.9668961,0.0002857437,0.004662219,0.0006072331,0.00004859253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961204,0.00002883003,0.001625414,0.000181074,0.000003442261,0.00003612728,0.00005659388,0.000008338924,0.001939785],"genre_scores_gemma":[0.9984224,0.00003340716,0.0007339971,0.00001911419,0.000001916779,0.00003397142,0.00004842589,0.000002217442,0.0007045667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01719811,"threshold_uncertainty_score":0.03419602,"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."}}