{"id":"W1666909838","doi":"10.5539/ass.v11n21p183","title":"The Role of Microfinance in Poverty Alleviation: Empirical Evidence from South-West Nigeria","year":2015,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microfinance; Poverty; Loan; Government (linguistics); Descriptive statistics; Poverty reduction; Binary logit model; Economic growth; Business; Development economics; Logistic regression; Socioeconomics; Economics; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001596612,0.000127596,0.0003113414,0.0001004197,0.0004515178,0.00009207601,0.0008355351,0.0001147356,0.00003228983],"category_scores_gemma":[0.0006843686,0.000118437,0.00008137467,0.001125928,0.0005644062,0.0005504137,0.0002616941,0.0001682745,0.0002488714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002639584,"about_ca_system_score_gemma":0.0002592836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009573062,"about_ca_topic_score_gemma":0.0002413496,"domain_scores_codex":[0.9983383,0.0000280496,0.0005995256,0.0004696267,0.0001486149,0.0004158866],"domain_scores_gemma":[0.9990069,0.00006456519,0.0004374119,0.0003051677,0.0001045402,0.00008139412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009629064,0.0001110241,0.7938329,0.000005444665,0.000006281439,0.000004772869,0.03349619,0.000002374645,0.00404393,0.1051194,0.002416185,0.06086518],"study_design_scores_gemma":[0.0003442331,0.00007181598,0.8323019,0.00004521769,0.000001699585,7.499289e-7,0.00187097,0.00010543,0.002001678,0.09318009,0.0698057,0.0002705325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8116848,0.01389328,0.001661906,0.006786713,0.001281928,0.0004590585,0.0001448277,0.0000346983,0.1640527],"genre_scores_gemma":[0.9988251,0.0001638869,0.0003027864,0.0002784833,0.0001700023,0.00001241708,0.000002156017,0.000008575034,0.0002366452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1871402,"threshold_uncertainty_score":0.4829719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05987820156745372,"score_gpt":0.2784543653752068,"score_spread":0.2185761638077531,"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."}}