{"id":"W3214991048","doi":"10.2139/ssrn.3972481","title":"COVID-19 Global Pandemic, Financial Development and Financial Inclusion","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Pandemic; Financial inclusion; Coronavirus disease 2019 (COVID-19); Finance; Business; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Financial system; Financial services; Medicine; Virology; Internal medicine; Outbreak","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":[],"consensus_categories":[],"category_scores_codex":[0.001888186,0.0005160942,0.0005633912,0.002508385,0.001393868,0.008175787,0.0004513289,0.003077917,0.07594775],"category_scores_gemma":[0.01489319,0.000163275,0.0003513684,0.00437363,0.001185235,0.004795155,0.002468617,0.003213814,0.007487488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003025714,"about_ca_system_score_gemma":0.003451199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01907596,"about_ca_topic_score_gemma":0.01512092,"domain_scores_codex":[0.9989381,0.0003213109,0.00007428264,0.00009088323,0.0003531947,0.0002222052],"domain_scores_gemma":[0.9949762,0.001917264,0.0009248913,0.0002674643,0.001245903,0.0006683285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000893422,0.00004345554,0.00865695,0.0002465533,0.00001997849,0.0001301637,0.0001431417,0.0009082213,0.00004965718,0.1990221,0.7573732,0.03331722],"study_design_scores_gemma":[0.00006082809,0.00008869658,0.03561169,0.00123826,0.00003832259,0.0002866775,0.001776139,0.002459096,0.000255931,0.205946,0.7521605,0.00007784826],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02981489,0.03119607,0.002315831,0.1697807,0.01410044,0.0001048234,0.03302406,0.0003914998,0.7192718],"genre_scores_gemma":[0.7319205,0.03813704,0.001817377,0.0160844,0.01026848,0.0004038536,0.01852224,0.0005330186,0.1823131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07594775,"threshold_uncertainty_score":0.2540705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02705859723926434,"score_gpt":0.2694586962337984,"score_spread":0.2424000989945341,"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."}}