{"id":"W177476855","doi":"","title":"Mobile Financial Services in Bangladesh: An Overview of Market Development","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Financial services; Mobile payment; Service (business); Sample (material); Market share; Finance; Mobile banking; Marketing; Geography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004560761,0.0004542284,0.001393904,0.001240869,0.0001362939,0.00007767523,0.001239883,0.0009170689,0.0008149857],"category_scores_gemma":[0.0001128575,0.0005916549,0.0002123658,0.0003712398,0.0001795896,0.000368446,0.001978487,0.00145725,0.00007364605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207776,"about_ca_system_score_gemma":0.0005394603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008120221,"about_ca_topic_score_gemma":0.002209587,"domain_scores_codex":[0.9952672,0.0001337358,0.002118474,0.001229065,0.0001142629,0.00113732],"domain_scores_gemma":[0.9976117,0.00011152,0.0008015553,0.001204749,0.00008248673,0.0001879696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005556057,0.003022147,0.4128439,0.005048774,0.0001066292,0.00006608169,0.01417309,0.00207267,0.000209988,0.0316396,0.0002099464,0.5300516],"study_design_scores_gemma":[0.00191369,0.0002908583,0.4512352,0.001592503,0.000007496584,0.000007069276,0.0006082164,0.003102782,0.0008059856,0.02917841,0.5094037,0.001854031],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9138436,0.01288573,0.000008924992,0.00003072444,0.000779804,0.001187415,0.0003362458,0.0000232462,0.07090436],"genre_scores_gemma":[0.9260605,0.06929994,0.002115421,0.0001079482,0.0003125255,0.0005883364,0.0002178602,0.0001003814,0.001197087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5281976,"threshold_uncertainty_score":0.9996535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07017054398477408,"score_gpt":0.3194880713311805,"score_spread":0.2493175273464064,"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."}}