{"id":"W2036127110","doi":"10.1016/j.elerap.2011.07.006","title":"Triggers and barriers to financial inclusion: The use of ICT-based branchless banking in an Amazon county","year":2011,"lang":"en","type":"article","venue":"Electronic Commerce Research and Applications","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":236,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Financial inclusion; Financial services; Business; Information and Communications Technology; Poverty; Population; Economic growth; Social exclusion; Finance; Financial system; Economics; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004229606,0.00009894899,0.0002438907,0.0006312194,0.001474629,0.001452811,0.000803276,0.0008566072,0.002773999],"category_scores_gemma":[0.002949097,0.0002563125,0.000210573,0.0009976622,0.0009949839,0.0007050514,0.001769884,0.001191495,0.0001519054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620139,"about_ca_system_score_gemma":0.002715249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.215824,"about_ca_topic_score_gemma":0.4218471,"domain_scores_codex":[0.9992695,0.0001950213,0.00004699274,0.00008304579,0.00008276858,0.0003226961],"domain_scores_gemma":[0.9955736,0.000805478,0.00171111,0.0001421109,0.0003554267,0.001412112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001102739,0.0003057814,0.9843359,0.00001929545,0.00002655227,0.0009058155,0.009947636,0.00007773966,0.0006485585,0.000686935,0.0003609887,0.002574605],"study_design_scores_gemma":[0.000006196467,0.00008806993,0.9548386,0.00002051654,0.00002189532,0.0002632693,0.04315913,0.0004786588,0.0001526329,0.0001645153,0.0007958998,0.00001063006],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995098,0.00001181478,0.00001172621,0.0002089297,6.808078e-7,0.000003781788,0.00003658637,7.257481e-7,0.0002160397],"genre_scores_gemma":[0.9996536,0.00002101713,0.00002375943,0.00003312304,0.000001768916,0.0000027194,0.0000285204,9.277989e-7,0.0002345095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.215824,"threshold_uncertainty_score":0.4291354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1213747703811659,"score_gpt":0.3139320068393877,"score_spread":0.1925572364582218,"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."}}