{"id":"W3198845412","doi":"10.5267/j.ijdns.2021.8.012","title":"Collaboration of digital payment usage decision in COVID-19 pandemic situation: Evidence from Indonesia","year":2021,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Pelita Harapan","keywords":"Pace; Business; FinTech; Marketing; The Internet; Payment; Mobile payment; Big data; Pandemic; Scale (ratio); Information technology; Financial services; Coronavirus disease 2019 (COVID-19); Computer science; Finance; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001195705,0.00008446732,0.0001578182,0.0002411256,0.00007079059,0.001063898,0.001015582,0.00003024205,0.00003097448],"category_scores_gemma":[0.00224879,0.00007607993,0.00002184045,0.001083477,0.0001745966,0.0124516,0.0007661614,0.0001043843,0.000004857541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001234539,"about_ca_system_score_gemma":0.0004795608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005195821,"about_ca_topic_score_gemma":0.0002850323,"domain_scores_codex":[0.9982126,0.000008757731,0.0005214958,0.0002702725,0.0008548872,0.0001320156],"domain_scores_gemma":[0.9981282,0.000354538,0.0005975583,0.0001991904,0.0006916848,0.00002878492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001993673,0.00007523051,0.9230662,0.00001405419,0.00001653718,0.0001329624,0.0001096983,0.001972957,0.002147494,0.001444168,0.001821773,0.06899953],"study_design_scores_gemma":[0.003470032,0.00009710937,0.826969,0.004579126,0.00007037353,0.0003067197,0.001164577,0.06597991,0.0006969215,0.06699765,0.02902326,0.0006453361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636913,0.0009348883,0.03298444,0.001412499,0.0007348683,0.00005959284,0.00003966242,0.000006162806,0.0001366134],"genre_scores_gemma":[0.996892,0.0004675306,0.001664129,0.0004072532,0.000506454,7.053081e-7,0.00005093226,0.000003963081,0.0000070009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09609725,"threshold_uncertainty_score":0.9999731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07162103621538213,"score_gpt":0.3446883014041415,"score_spread":0.2730672651887593,"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."}}