{"id":"W4399932105","doi":"10.56961/mejmcs.v2i2.641","title":"Impact of Microcredit on Poverty Reduction in Bangladesh: a cross-sectional study","year":2024,"lang":"en","type":"article","venue":"Manar Elsharq Journal for Management and Commerce Studies","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Poverty reduction; Cross-sectional study; Microfinance; Poverty; Socioeconomics; Reduction (mathematics); Environmental health; Development economics; Economic growth; Economics; Medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008087985,0.000174198,0.0002524574,0.0006186176,0.0005488935,0.0004564345,0.0002386031,0.0003610362,0.001899209],"category_scores_gemma":[0.001772081,0.0002607658,0.0003536051,0.0009126807,0.0002835677,0.0004693741,0.0004900563,0.0005037085,0.0002768533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004982727,"about_ca_system_score_gemma":0.0004511717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008361857,"about_ca_topic_score_gemma":0.01300149,"domain_scores_codex":[0.9994436,0.0001833905,0.00008065107,0.00007046443,0.0001194069,0.000102528],"domain_scores_gemma":[0.9987234,0.000219434,0.0005527511,0.00006401589,0.000202572,0.0002378043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006463916,0.0001688361,0.9949132,0.0000789448,0.00006071385,0.0001715423,0.00136868,0.00003566002,0.0001438347,0.00003848108,0.0002051769,0.002750152],"study_design_scores_gemma":[0.000004128361,0.0003815021,0.996273,0.00004917687,0.00003416145,0.000285858,0.002330692,0.00008033191,0.00005862173,0.00002842921,0.0004663978,0.000007778774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985514,0.0002865535,0.00004317787,0.00009993324,0.000002898962,0.00003009318,0.0003500144,0.000001719099,0.0006342516],"genre_scores_gemma":[0.9990891,0.0002884353,0.00007533727,0.00006867862,0.000003845347,0.00003003742,0.0001717961,9.519372e-7,0.0002717961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008361857,"threshold_uncertainty_score":0.01662636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07776849568077127,"score_gpt":0.3518514890943032,"score_spread":0.2740829934135319,"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."}}