{"id":"W4295067596","doi":"10.3390/jrfm15090393","title":"The Impact of Microfinance Institutions on Poverty Alleviation","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microfinance; Poverty; Agriculture; Economics; Poverty level; Development economics; Economic growth; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001903566,0.0002091934,0.0002525171,0.000795689,0.0004370102,0.001283487,0.0003590904,0.0004725023,0.004333304],"category_scores_gemma":[0.0106323,0.0000758134,0.0003831449,0.0009395379,0.0009000517,0.001224503,0.001727066,0.0008358374,0.0002169501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514792,"about_ca_system_score_gemma":0.002020469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005830047,"about_ca_topic_score_gemma":0.007446125,"domain_scores_codex":[0.9981104,0.0008127184,0.0000503935,0.00009534813,0.0002643789,0.0006667112],"domain_scores_gemma":[0.9856502,0.007126794,0.004437998,0.0004131618,0.001156202,0.001215585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008777063,0.0009949036,0.7195281,0.0004936848,0.0005727235,0.001146491,0.001083275,0.03896635,0.002048627,0.05675159,0.003159126,0.1743774],"study_design_scores_gemma":[0.00004606311,0.0009602314,0.9260609,0.0003673703,0.0002779875,0.000251565,0.002828676,0.03028563,0.00295826,0.02480202,0.01111508,0.00004616514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786975,0.001611598,0.001892849,0.003193633,0.00003081991,0.00002941459,0.0003017364,0.00002547729,0.01421708],"genre_scores_gemma":[0.9988796,0.0002678189,0.0001684077,0.00004241543,0.00001183373,0.000004129467,0.00002451688,0.000001864354,0.0005994771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005830047,"threshold_uncertainty_score":0.01449639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805438992152114,"score_gpt":0.2374737665721542,"score_spread":0.219419376650633,"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."}}