{"id":"W3197958789","doi":"10.3390/jrfm14090426","title":"Poland–Turkey Comparison of Mobile Payments Quality in Pandemic Time","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payment; The Internet; Pandemic; Population; Geography; Sample (material); Demography; Psychology; Socioeconomics; Business; Coronavirus disease 2019 (COVID-19); Medicine; Economics; Sociology; 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":[0.0004657948,0.0001560618,0.0001778523,0.001700276,0.0002375354,0.0008802656,0.000150773,0.0002368976,0.001407657],"category_scores_gemma":[0.001869191,0.0001006011,0.0002389394,0.001591755,0.0003714076,0.000529121,0.000637573,0.00023085,0.0001681418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005700915,"about_ca_system_score_gemma":0.0004348574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005343994,"about_ca_topic_score_gemma":0.005997526,"domain_scores_codex":[0.9994826,0.0001091156,0.00009155703,0.00005927308,0.0001421995,0.0001153207],"domain_scores_gemma":[0.9988812,0.0001919995,0.0005641071,0.00003286592,0.000223726,0.0001061891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002529168,0.00008855475,0.9663745,0.0001278507,0.00006902922,0.0006227478,0.005390158,0.0002200099,0.0008933463,0.0004530603,0.0004550642,0.02505283],"study_design_scores_gemma":[0.000001795565,0.00004942128,0.9929273,0.0000210021,0.000006878011,0.0002024432,0.005896624,0.00007865133,0.00009184484,0.00002192698,0.000698979,0.000003224258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986635,0.0001153492,0.00005350238,0.00003801591,0.000003623988,0.00000711171,0.00009507046,0.000001320562,0.001022509],"genre_scores_gemma":[0.9995346,0.0001122521,0.00006046246,0.00001045652,0.000002352748,0.000004256125,0.00009599292,0.000001306742,0.0001782549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005343994,"threshold_uncertainty_score":0.01062578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03432826361547855,"score_gpt":0.2971446494514262,"score_spread":0.2628163858359476,"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."}}