{"id":"W2899806965","doi":"10.29173/psur34","title":"Impact of Non-Government Organizations and Microcredit Institutions on the Development of Bangladesh","year":2017,"lang":"en","type":"article","venue":"Political Science Undergraduate Review","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microfinance; Bureaucracy; Economic growth; Poverty; Socioeconomic development; Politics; Government (linguistics); Opposition (politics); Business; Political science; Development economics; Economics","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":[0.003068455,0.0002229112,0.0003244965,0.001648802,0.0006207364,0.002366136,0.000350698,0.0006604078,0.004160345],"category_scores_gemma":[0.005866968,0.000116922,0.0001666161,0.003483966,0.00119315,0.001255227,0.0009788246,0.0007564544,0.0004045206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0032564,"about_ca_system_score_gemma":0.00599146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01877422,"about_ca_topic_score_gemma":0.03022874,"domain_scores_codex":[0.9981499,0.0009185293,0.0001230073,0.0001123781,0.0004483147,0.00024789],"domain_scores_gemma":[0.9923313,0.004212812,0.001256784,0.000130972,0.001737683,0.0003305134],"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":[0.0002225524,0.0001110617,0.02001486,0.03084683,0.0003812723,0.0009631275,0.004171347,0.001202864,0.0008486607,0.2007942,0.05172003,0.6887231],"study_design_scores_gemma":[0.00002964998,0.0001826753,0.05972592,0.01825482,0.0001952298,0.0005485336,0.007784213,0.0001504529,0.0007583785,0.01057817,0.901742,0.00004993726],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01253801,0.9385577,0.0001333717,0.01765881,0.0003435747,0.00002259948,0.0001845286,0.000003466411,0.03055802],"genre_scores_gemma":[0.1363165,0.8579866,0.0001742592,0.001974129,0.0002932441,0.00002336092,0.0000813873,0.000004126252,0.003146398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01877422,"threshold_uncertainty_score":0.03732985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06090961658005406,"score_gpt":0.3238559678550149,"score_spread":0.2629463512749608,"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."}}