{"id":"W7133427014","doi":"","title":"Microfinance Investment Vehicles and Social Performance: Moving Forward with the MacBeth Approach","year":2013,"lang":"en","type":"article","venue":"ORBi UMONS","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Investment (military); Microfinance; Government (linguistics); Debt","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":[0.002543023,0.0009178153,0.001426079,0.004247151,0.001423131,0.004416799,0.00138395,0.00237595,0.01524244],"category_scores_gemma":[0.00607508,0.0002587252,0.0009673689,0.003368628,0.00437078,0.005852729,0.002593171,0.00287024,0.0006376274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002691781,"about_ca_system_score_gemma":0.001464954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02445874,"about_ca_topic_score_gemma":0.02260604,"domain_scores_codex":[0.998702,0.0007198276,0.00002694643,0.0001420822,0.0001750676,0.0002340985],"domain_scores_gemma":[0.9926697,0.005270452,0.0008035258,0.0003187646,0.0004521979,0.0004853618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000360484,0.00008808017,0.01196333,0.00009625401,0.0001108906,0.0001044728,0.0007624038,0.003784454,0.00004340929,0.9494068,0.004970533,0.02863327],"study_design_scores_gemma":[0.00002464944,0.00006849001,0.009316972,0.0002584677,0.00006493297,0.0000417811,0.002589898,0.02015551,0.00007038291,0.9455661,0.0218068,0.00003584147],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3735438,0.05464556,0.1625027,0.2155766,0.002172423,0.0001741343,0.001353977,0.0001957826,0.189835],"genre_scores_gemma":[0.9565108,0.01015795,0.005926218,0.002072901,0.001570008,0.00008454671,0.0001100281,0.00004697254,0.02352058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02445874,"threshold_uncertainty_score":0.050991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01817665956369562,"score_gpt":0.1903698890533412,"score_spread":0.1721932294896456,"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."}}