{"id":"W1978122897","doi":"10.1007/0-306-47548-0_4","title":"Driving Forces for M-Commerce Success","year":2005,"lang":"en","type":"book-chapter","venue":"Kluwer Academic Publishers eBooks","topic":"ICT Impact and Policies","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Mobile commerce; E-commerce; Order (exchange); Business; Key (lock); The Internet; Value (mathematics); Marketing; Commerce; Computer science; World Wide Web; Computer security","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":[0.001313206,0.0005321296,0.0002735876,0.001213789,0.001278541,0.007461781,0.000709311,0.002096846,0.01433417],"category_scores_gemma":[0.003095291,0.000415471,0.0003317625,0.001739149,0.002756095,0.004294008,0.001810231,0.003074239,0.004453483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0021445,"about_ca_system_score_gemma":0.002332401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001664961,"about_ca_topic_score_gemma":0.002236659,"domain_scores_codex":[0.9990882,0.0001773775,0.00003848045,0.0001181828,0.0004087998,0.0001691023],"domain_scores_gemma":[0.9979661,0.001170996,0.0001900776,0.00008757485,0.0002772942,0.0003079341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003441086,0.0001500411,0.007106581,0.0005986965,0.00002226876,0.000928137,0.002572778,0.001320152,0.001242261,0.8183075,0.0361853,0.1315319],"study_design_scores_gemma":[0.00003440951,0.0001279636,0.019598,0.001226266,0.00003227047,0.001583059,0.007470085,0.003580471,0.002271405,0.3303292,0.6336815,0.00006526771],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09297043,0.03285694,0.009549355,0.04831504,0.0007799016,0.0001883511,0.0002051248,0.0001670181,0.8149678],"genre_scores_gemma":[0.789829,0.0421271,0.008715719,0.006145948,0.001046859,0.0002118565,0.0002060061,0.0001681016,0.1515496],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01433417,"threshold_uncertainty_score":0.04795259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01967637872111578,"score_gpt":0.2537571713856477,"score_spread":0.2340807926645319,"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."}}