{"id":"W3128156064","doi":"10.5430/ijfr.v12n3p261","title":"Financial Inclusion in Zimbabwe: Determinants, Challenges, and Opportunities","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Financial inclusion; Financial literacy; Financial services; Unbanked; Finance; Business; Economics; Economic growth; Financial system","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":[0.0009213836,0.0002891325,0.0002553823,0.001704095,0.002102873,0.002561283,0.0003959641,0.0004221948,0.003403026],"category_scores_gemma":[0.003704888,0.0002444735,0.0002968934,0.002891061,0.001092702,0.002027506,0.002167422,0.0008760276,0.0001600616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002711891,"about_ca_system_score_gemma":0.003359363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09930165,"about_ca_topic_score_gemma":0.1369426,"domain_scores_codex":[0.9988951,0.0002310055,0.00005524529,0.00004866363,0.0001476824,0.0006224011],"domain_scores_gemma":[0.9984069,0.0004106033,0.0006416541,0.00003586728,0.0001991641,0.0003058792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000049702,0.00009721643,0.906539,0.0004011067,0.00006441824,0.00163755,0.01877007,0.0002194987,0.0004793601,0.007834774,0.002240659,0.06166656],"study_design_scores_gemma":[0.000005874652,0.00005160495,0.9496386,0.0007917485,0.00004076196,0.000306757,0.03356525,0.0005727899,0.0001118537,0.001863338,0.01303236,0.00001898264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774579,0.00498205,0.000229849,0.01114358,0.00003914477,0.00006234746,0.0003446848,0.000005457402,0.005734985],"genre_scores_gemma":[0.9965457,0.00239725,0.0001002987,0.000208269,0.00001907373,0.00002063208,0.00007712201,0.000001167895,0.0006304672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09930165,"threshold_uncertainty_score":0.1974473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2185640597147402,"score_gpt":0.3668506735461144,"score_spread":0.1482866138313742,"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."}}