{"id":"W2003162991","doi":"10.1080/00220388.2012.727561","title":"Response to ‘High Noon for Microfinance Impact Evaluations’","year":2012,"lang":"en","type":"article","venue":"The Journal of Development Studies","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Replicate; Microfinance; Criticism; Replication (statistics); Noon; Sample (material); Work (physics); Key (lock); Economics; Sociology; Political science; Psychology; Statistics; Economic growth; Law; Computer science; Mathematics; Computer security","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05194585,0.0008084363,0.001137996,0.001401269,0.00593279,0.005547352,0.003055159,0.04094052,0.01173396],"category_scores_gemma":[0.2620391,0.0008923103,0.001122841,0.001681635,0.004367986,0.004587928,0.005220623,0.03321311,0.004850303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007907812,"about_ca_system_score_gemma":0.007755372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004045514,"about_ca_topic_score_gemma":0.003811056,"domain_scores_codex":[0.9501402,0.02456662,0.006522425,0.003971368,0.0116058,0.003193666],"domain_scores_gemma":[0.691657,0.2080956,0.01900408,0.008972323,0.05825325,0.01401769],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008970653,0.00003359779,0.001221911,0.0002267002,0.00002064427,0.000416037,0.001636157,0.00007476528,0.000495922,0.004418425,0.9811633,0.01020282],"study_design_scores_gemma":[0.00006382699,0.0001172988,0.005605191,0.0008788571,0.00002451161,0.0005898697,0.004368388,0.0004417595,0.0008202867,0.004379653,0.9825642,0.0001462162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003029115,0.0005208538,0.0004339311,0.9770722,0.01577546,0.00004170132,0.0001831806,0.0001271791,0.002816441],"genre_scores_gemma":[0.01990816,0.0002873481,0.000691711,0.9673989,0.007840804,0.0001686787,0.00006003153,0.00009801873,0.003546434],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9480541,"threshold_uncertainty_score":0.2747192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1059735986932744,"score_gpt":0.3572642348530217,"score_spread":0.2512906361597473,"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."}}