{"id":"W3124640525","doi":"10.2139/ssrn.3171529","title":"Business Training for Microfinance Clients: How It Matters and for Whom?","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Microfinance; Business; Training (meteorology); Economic growth; Economics; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00113665,0.0002068175,0.000455119,0.0001869818,0.0009326303,0.00009294982,0.0002414353,0.0001335562,0.000007608626],"category_scores_gemma":[0.0001372786,0.0002317074,0.0001619423,0.0002052972,0.0001128375,0.000396371,0.00004270357,0.0004545341,0.00001577316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00039324,"about_ca_system_score_gemma":0.0004821025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003939914,"about_ca_topic_score_gemma":0.0000953834,"domain_scores_codex":[0.9973162,0.000007272452,0.000474068,0.0003913103,0.00003543672,0.001775644],"domain_scores_gemma":[0.9991673,0.00005282945,0.0004571273,0.0001548556,0.0001078766,0.00006007055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005774923,0.00021365,0.01411773,0.0001732752,0.0002111313,0.000009055472,0.003934524,0.00002911146,0.002823761,0.9056048,0.02982703,0.04247843],"study_design_scores_gemma":[0.003501794,0.0004617242,0.00872665,0.00008610712,0.00001784306,0.0006069291,0.0008146459,0.0002195929,0.0002077108,0.3197177,0.6650211,0.0006182075],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5287793,0.01595898,0.4366099,0.01677429,0.0008146135,0.0006279878,0.0001441591,0.00002287565,0.0002678652],"genre_scores_gemma":[0.958913,0.02744807,0.003256632,0.001924012,0.0007423974,0.00008170799,0.00002548642,0.00007081535,0.007537853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6351941,"threshold_uncertainty_score":0.9448753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04561756163615897,"score_gpt":0.2375337909584001,"score_spread":0.1919162293222411,"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."}}