{"id":"W6977281705","doi":"10.6084/m9.figshare.22647832","title":"Funding Liquidity Risk in Ghanaian Microfinance Institutions (MFI's)","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microfinance; Market liquidity; Liquidity risk; Quarter (Canadian coin); Sustainability; Profit (economics); Liquidity crisis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002464193,0.0001359101,0.0002439014,0.001106483,0.0007080431,0.002096268,0.0003684344,0.0008766505,0.003103605],"category_scores_gemma":[0.0120629,0.00009721501,0.000145102,0.00128025,0.0009080583,0.001307051,0.00138556,0.0005990638,0.0002712917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002449872,"about_ca_system_score_gemma":0.001221145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007834047,"about_ca_topic_score_gemma":0.009396744,"domain_scores_codex":[0.9983602,0.0005307929,0.0001195957,0.0001163238,0.000364849,0.0005081219],"domain_scores_gemma":[0.9832154,0.002766669,0.01175291,0.0002198454,0.0008587483,0.00118629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007007642,0.0001145641,0.8980799,0.0001374011,0.00004679982,0.001978632,0.005227705,0.002390773,0.0007193122,0.01475377,0.004496729,0.07135362],"study_design_scores_gemma":[0.00008840791,0.0006223788,0.9321882,0.000610504,0.00007408867,0.002959281,0.01609011,0.01064605,0.001244195,0.01983473,0.01557279,0.00006923411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912504,0.001752984,0.0004197948,0.0027728,0.00001126631,0.00001630788,0.0001644411,0.00001370964,0.003598355],"genre_scores_gemma":[0.9994899,0.0001536246,0.00004136396,0.00002742598,0.00000855299,0.000003138991,0.00001796343,5.986335e-7,0.000257371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007834047,"threshold_uncertainty_score":0.01777512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1301289135693414,"score_gpt":0.2807995326000763,"score_spread":0.1506706190307349,"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."}}