{"id":"W4406766799","doi":"10.1155/hbe2/9352257","title":"Consumer Savings and Digital Remittance in Open Banking: Insights From Bibliometric and Geospatial Econometric Analysis","year":2025,"lang":"en","type":"article","venue":"Human Behavior and Emerging Technologies","topic":"Economic Growth and Development","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"Geospatial analysis; Remittance; Econometric analysis; Economics; Business; Econometrics; Geography; Cartography; Economic growth","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003539662,0.0002772789,0.0005820431,0.01735266,0.0005215105,0.003038082,0.0004709074,0.0005980685,0.003478105],"category_scores_gemma":[0.02446098,0.0001544231,0.001005428,0.04426539,0.0007880676,0.002265687,0.00176993,0.0005721778,0.0004927802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531192,"about_ca_system_score_gemma":0.001236051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03315368,"about_ca_topic_score_gemma":0.02651256,"domain_scores_codex":[0.9972766,0.001033972,0.0002953795,0.000273973,0.0009231426,0.0001969426],"domain_scores_gemma":[0.9709932,0.0191993,0.006424262,0.0009204112,0.002077983,0.0003848744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003817574,0.0001317549,0.9414751,0.0003860993,0.000524213,0.0003381853,0.001536189,0.00617581,0.00009487278,0.01059887,0.002948385,0.03575232],"study_design_scores_gemma":[0.00001530855,0.00005736931,0.9263493,0.000314809,0.0005815226,0.0002462718,0.01081906,0.03359462,0.0003350009,0.0105264,0.017093,0.00006728532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642998,0.002983275,0.006147316,0.002412482,0.00003366691,0.00006669375,0.005556307,0.00006972322,0.01843076],"genre_scores_gemma":[0.9939752,0.001165137,0.001362726,0.00007309776,0.00005033676,0.00003492916,0.002480425,0.00001314443,0.000844957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9826474,"threshold_uncertainty_score":0.06592143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061553358127958,"score_gpt":0.2722170769616292,"score_spread":0.2516015433803496,"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."}}