{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006870417,0.0004522266,0.000256655,0.005040393,0.0006017645,0.002438503,0.0004045453,0.0006977362,0.01849619],"category_scores_gemma":[0.00177418,0.0002306278,0.0001651032,0.009947039,0.0008438162,0.003029528,0.0009578171,0.000595671,0.002657627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004581204,"about_ca_system_score_gemma":0.002148179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02329637,"about_ca_topic_score_gemma":0.02222603,"domain_scores_codex":[0.9995315,0.00008075376,0.00006104351,0.00006216609,0.0001431528,0.0001214334],"domain_scores_gemma":[0.9984554,0.0004867586,0.0004131675,0.00003453848,0.0003906799,0.000219485],"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":[0.0003468866,0.0002316462,0.1137917,0.003769615,0.000044197,0.003612711,0.007454975,0.001813779,0.005255126,0.09611309,0.04397048,0.7235957],"study_design_scores_gemma":[0.0000199242,0.0002925964,0.3066137,0.001829742,0.00002640334,0.002574157,0.01370698,0.001056858,0.001518686,0.005752332,0.6665241,0.00008444782],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.4197934,0.1589944,0.001584336,0.02497826,0.0002276808,0.0003797433,0.01532228,0.000187754,0.3785321],"genre_scores_gemma":[0.7961283,0.1750363,0.001807693,0.001057278,0.0001862432,0.000129368,0.003205428,0.00003557692,0.02241385],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02329637,"threshold_uncertainty_score":0.06187588,"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."}}