{"id":"W2886093014","doi":"10.5539/jsd.v11n4p257","title":"Advancing Sustainable Development Goals (SDGs): An Analysis of How Non- Financial Services of Microfinance Insitutions Facilitate Human Capital Development of Clients in Ghana","year":2018,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microfinance; Sustainable development; Business; Human capital; Context (archaeology); Economic growth; Financial services; Institution; Financial institution; Finance; Economics; Political science; Sociology; Social science; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001033155,0.0001734343,0.0002035741,0.000612531,0.0008641795,0.001145105,0.0004147091,0.0003809437,0.002987157],"category_scores_gemma":[0.003541962,0.0001344223,0.0001746666,0.002380801,0.0009350427,0.001303063,0.001168094,0.0008107828,0.0002170929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005418302,"about_ca_system_score_gemma":0.00421796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06485007,"about_ca_topic_score_gemma":0.1183773,"domain_scores_codex":[0.999186,0.000361961,0.00002701508,0.00004240359,0.00008823058,0.0002942955],"domain_scores_gemma":[0.9970021,0.001309138,0.0009474363,0.00004703197,0.0002406094,0.0004536726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002335908,0.000481708,0.8434137,0.0004526629,0.00005082179,0.002423906,0.04610546,0.002035331,0.0005584142,0.01165039,0.004227849,0.08836625],"study_design_scores_gemma":[0.00001724723,0.0002124775,0.8459272,0.0003592148,0.00004671933,0.0003024658,0.1392684,0.002507844,0.0004587984,0.002082893,0.008802438,0.00001442176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945668,0.0004733775,0.0002216205,0.001225614,0.000003409298,0.00003894979,0.0001421819,0.000003585888,0.003324429],"genre_scores_gemma":[0.9988558,0.0003308991,0.0001205474,0.00004534409,0.000001678974,0.00001758438,0.00003549668,0.000001909807,0.0005908316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06485007,"threshold_uncertainty_score":0.1289452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01442963805227919,"score_gpt":0.2367076031037097,"score_spread":0.2222779650514305,"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."}}