{"id":"W3010973466","doi":"10.5267/j.ijdns.2019.12.004","title":"The effects of factors influencing on user behavior intention to use mobile payment: Evidence from Cambodia","year":2020,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile payment; Payment; Business; Internet privacy; 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":[0.0008260407,0.000221887,0.0002148019,0.000587692,0.0004920852,0.0006659552,0.0002215391,0.0003374503,0.002818798],"category_scores_gemma":[0.002784267,0.0002064743,0.000306579,0.0007999075,0.0005898713,0.0003840824,0.0004477664,0.0004890059,0.0001818367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005684913,"about_ca_system_score_gemma":0.0007305827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03001016,"about_ca_topic_score_gemma":0.04197761,"domain_scores_codex":[0.9995649,0.0001820692,0.0000376845,0.00005106319,0.00005909779,0.0001052094],"domain_scores_gemma":[0.9974849,0.001488653,0.0005319809,0.00009657761,0.0001941754,0.000203593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001152993,0.0001615556,0.9742351,0.0002070172,0.0000844755,0.000272134,0.01026014,0.00005522536,0.0006030467,0.0002848157,0.0001513996,0.01356987],"study_design_scores_gemma":[0.000002724284,0.00006171941,0.9946178,0.0000662548,0.00002743294,0.00005272117,0.004712666,0.00008113473,0.00007225736,0.00001877103,0.0002835359,0.00000303049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987042,0.0002759357,0.00002831794,0.00008717459,0.000002394585,0.000007477554,0.00004881421,5.414672e-7,0.0008452043],"genre_scores_gemma":[0.9994055,0.0003162065,0.00004299405,0.00002746908,0.000001723374,0.000007469693,0.00004457268,5.312324e-7,0.0001536285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03001016,"threshold_uncertainty_score":0.05967098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1449410493569034,"score_gpt":0.4113206609048274,"score_spread":0.266379611547924,"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."}}