{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001358075,0.0001139594,0.0006718474,0.0002926642,0.00004005968,0.00002427591,0.0001372998,0.00007897773,0.0000881434],"category_scores_gemma":[0.0003257097,0.0001189056,0.0001176963,0.0002853241,0.00003372514,0.0001401803,0.0001049047,0.0002383234,0.00002064815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001275294,"about_ca_system_score_gemma":0.00004055122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002384502,"about_ca_topic_score_gemma":0.00005063283,"domain_scores_codex":[0.9982454,0.00005090823,0.001238325,0.0001814468,0.00008411283,0.0001998645],"domain_scores_gemma":[0.9985868,0.0001097798,0.001016259,0.0001684984,0.00004627433,0.00007238828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009541883,0.0002686762,0.9594147,0.00009211833,0.00003398768,0.00002632659,0.001194432,0.0004083331,0.00003949781,0.003129899,0.0005397346,0.03475684],"study_design_scores_gemma":[0.002173016,0.0001545187,0.9154487,0.00009462163,0.00002639162,0.000006334933,0.0002944771,0.0002869953,0.00006197594,0.01217607,0.06910375,0.0001732043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885467,0.00562929,0.003959159,0.00005812649,0.0002918261,0.0001252477,0.00006132173,0.000004257419,0.001324104],"genre_scores_gemma":[0.9955516,0.003524459,0.0005178659,0.0001141856,0.00006871375,0.00000263225,0.000003066879,0.000008016267,0.0002095039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06856401,"threshold_uncertainty_score":0.4848829,"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."}}