{"id":"W2953654339","doi":"","title":"IFC Mobile Money Scoping : Ghana","year":2013,"lang":"en","type":"article","venue":"","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commodity; Business; Financial services; Poverty; Sound (geography); Quarter (Canadian coin); Mobile payment; Private sector; Distribution (mathematics); Financial sector; Financial system; Finance; Commerce; Economics; Economic growth; Geography; Payment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001340286,0.0001213785,0.0002788115,0.0001250221,0.000145459,0.00007205277,0.0001921445,0.00009922671,0.005870932],"category_scores_gemma":[0.00002588206,0.000131856,0.00008508475,0.0002003059,0.00003191002,0.0003797671,0.0001261337,0.00009391051,0.01571302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004866251,"about_ca_system_score_gemma":0.00001322021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00172626,"about_ca_topic_score_gemma":0.00003649712,"domain_scores_codex":[0.9988952,0.000003567323,0.000448038,0.0003248501,0.00002119979,0.000307131],"domain_scores_gemma":[0.9994539,0.00001440952,0.0001437234,0.0002946016,0.0000282454,0.00006510609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001219092,0.0003486518,0.05578743,0.0001861421,0.00004147912,0.000009070608,0.00149778,0.00005366958,0.004145603,0.8001564,0.09952462,0.03823701],"study_design_scores_gemma":[0.003028061,0.000771508,0.06650957,0.0007545782,0.00001359033,0.00002103394,0.000956965,0.007614728,0.037989,0.2977296,0.5810567,0.003554675],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7393124,0.005073711,0.01638184,0.0006047429,0.0006348341,0.000865468,0.00001729299,0.0001297775,0.2369799],"genre_scores_gemma":[0.9852448,0.0004069573,0.001553485,0.0008216845,0.0001347426,0.0001468108,0.00000760289,0.00002166222,0.01166225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5024267,"threshold_uncertainty_score":0.9950379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02261709675674241,"score_gpt":0.2178964074715091,"score_spread":0.1952793107147667,"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."}}