{"id":"W2615720933","doi":"10.5539/ijef.v9n6p162","title":"The Impact of the 2014-16 Global Commodity Price Declines on Sub-Saharan African Financial Economy","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Development","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commodity; Economics; Shock (circulatory); Financial sector; Financial stability; Capital (architecture); Real economy; Finance; Financial system; Economy; Monetary economics","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":[0.0005537585,0.0002443879,0.0001849704,0.0008168471,0.0005911813,0.002103051,0.0001861153,0.0005213202,0.002866277],"category_scores_gemma":[0.001811616,0.0001065131,0.0001846083,0.001526471,0.0006708452,0.00144472,0.00114913,0.0006996332,0.0001994895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001779196,"about_ca_system_score_gemma":0.001364078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01303736,"about_ca_topic_score_gemma":0.01368176,"domain_scores_codex":[0.9997229,0.00005561759,0.00002016965,0.00002394836,0.00005545012,0.0001220088],"domain_scores_gemma":[0.9994268,0.00009773611,0.0002356898,0.00002097927,0.0001660945,0.00005270995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008072227,0.0002020324,0.6352057,0.001412369,0.0003065535,0.01287528,0.009970569,0.01357102,0.01036189,0.1164888,0.02324749,0.175551],"study_design_scores_gemma":[0.00001357593,0.000173704,0.8926497,0.0003632583,0.0000824856,0.001349001,0.01333994,0.003492204,0.004127643,0.01247134,0.07189994,0.00003723108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687487,0.002715905,0.0003192092,0.006637678,0.0001527961,0.00001359242,0.001789081,0.00001516686,0.01960783],"genre_scores_gemma":[0.995694,0.002441658,0.0001618774,0.0002769623,0.00007960128,0.000004716942,0.0003935995,0.000005769146,0.0009417052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01303736,"threshold_uncertainty_score":0.02592295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489344767442034,"score_gpt":0.2516903469049813,"score_spread":0.2367968992305609,"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."}}