{"id":"W2285541285","doi":"","title":"Microfinance and Poverty Reduction in Asia","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microfinance; Outreach; Poverty; Enthusiasm; Quarter (Canadian coin); Developing country; Economics; Development economics; Economic growth; Business; Political science; Public economics; Finance; 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":[0.0006033795,0.0004643192,0.0003030855,0.001198725,0.001239762,0.002663635,0.0005733307,0.000484612,0.008411999],"category_scores_gemma":[0.000605104,0.0001320374,0.0002750226,0.002766908,0.00161791,0.002371745,0.002759933,0.001193176,0.0005674263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002266417,"about_ca_system_score_gemma":0.002591358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01299592,"about_ca_topic_score_gemma":0.01440333,"domain_scores_codex":[0.9997901,0.00003516776,0.00001564346,0.00002409634,0.00003636309,0.0000986135],"domain_scores_gemma":[0.9993985,0.000082606,0.0002651683,0.00002586442,0.0001057419,0.0001221018],"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":[0.0007446523,0.0007793685,0.2481975,0.004690045,0.000290679,0.009948946,0.05414882,0.001739259,0.003978346,0.2416873,0.03650326,0.3972917],"study_design_scores_gemma":[0.00009987373,0.0009384238,0.5256461,0.004641073,0.0002805883,0.003799788,0.07447275,0.001309597,0.003639931,0.04900201,0.3360696,0.0001004269],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6289821,0.05584664,0.0007263377,0.03141217,0.0003853051,0.00006001193,0.0008320806,0.00009506234,0.2816603],"genre_scores_gemma":[0.9592166,0.02667021,0.0003610486,0.001594701,0.0001071123,0.00002815568,0.0001391903,0.00001760794,0.01186537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01299592,"threshold_uncertainty_score":0.02814096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008704327452735583,"score_gpt":0.2025588445739582,"score_spread":0.1938545171212226,"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."}}