{"id":"W2113968549","doi":"10.1109/picmet.2008.4599888","title":"The role of information and communication technologies (ICT) in improving microcredit: The case of correspondent banking in Brazil","year":2008,"lang":"en","type":"article","venue":"","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Microfinance; Information and Communications Technology; Business; Business model; Financial services; Scale (ratio); Lottery; Marketing; Finance; Economic growth; Economics; Computer science","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":[0.001586514,0.0002736773,0.0003023908,0.001048707,0.002753753,0.003663035,0.0009004681,0.001799791,0.002452392],"category_scores_gemma":[0.006446624,0.0001936032,0.0003885916,0.001519804,0.002985448,0.002102691,0.00225457,0.0009735085,0.0001378876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006057301,"about_ca_system_score_gemma":0.002527701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1820847,"about_ca_topic_score_gemma":0.2019835,"domain_scores_codex":[0.9987171,0.0006013885,0.00003755431,0.00008038703,0.0001532563,0.0004104779],"domain_scores_gemma":[0.9970354,0.001606418,0.0004370915,0.0001690996,0.0003651507,0.00038694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002692581,0.0006523561,0.1183153,0.0004301657,0.0001102671,0.04059126,0.04059808,0.03096353,0.004135625,0.691022,0.005681341,0.06723085],"study_design_scores_gemma":[0.0006334013,0.0007085097,0.2454805,0.00158265,0.0007966938,0.01092255,0.1828618,0.207922,0.00840961,0.2010401,0.1393027,0.0003394822],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9164711,0.0007794458,0.002248847,0.0081192,0.000009066877,0.00007074452,0.00004105186,0.0000238536,0.07223654],"genre_scores_gemma":[0.9982213,0.000275113,0.0003364859,0.00008987156,0.000003406629,0.000006373392,0.000006098079,0.000001889648,0.001059302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1820847,"threshold_uncertainty_score":0.3620498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025898424408581,"score_gpt":0.2018953866856732,"score_spread":0.1916364024415874,"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."}}