{"id":"W1514765964","doi":"10.15353/joci.v3i4.2351","title":"Innovations in Microfinance technologies","year":2008,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microfinance; Business; Mobile banking; Financial services; Population; Institution; Finance; Economic growth; Marketing; Economics; Political science; Medicine","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":[0.003649718,0.0003749395,0.0001462277,0.001495184,0.0009219263,0.003073197,0.0009491709,0.001297697,0.01248022],"category_scores_gemma":[0.006857276,0.0001251378,0.0003638965,0.001801151,0.001639928,0.003401702,0.001954953,0.001427048,0.002313039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002676622,"about_ca_system_score_gemma":0.001794538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002289927,"about_ca_topic_score_gemma":0.00299401,"domain_scores_codex":[0.9978556,0.000735232,0.000107301,0.0002583953,0.0006578922,0.0003854911],"domain_scores_gemma":[0.9954706,0.002158553,0.0003994473,0.0004816217,0.0009589331,0.0005308116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007733679,0.0003026429,0.01096637,0.0005423731,0.00001852859,0.0004676385,0.003594341,0.0007517233,0.002978385,0.1360099,0.01587115,0.8284196],"study_design_scores_gemma":[0.00003317718,0.0004435321,0.02277361,0.0009249352,0.00001825315,0.001448752,0.00341878,0.001707646,0.005625563,0.02511667,0.938439,0.00005012501],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.340287,0.03471628,0.04717822,0.07330562,0.002264767,0.0005090357,0.0004032276,0.001231963,0.5001038],"genre_scores_gemma":[0.8313329,0.01772821,0.0306146,0.004225652,0.0006964635,0.0002358049,0.0002920762,0.00009627988,0.1147781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01248022,"threshold_uncertainty_score":0.04175055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06161554073928333,"score_gpt":0.2451257997640945,"score_spread":0.1835102590248111,"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."}}