{"id":"W4319832940","doi":"10.1002/jid.3737","title":"Funding schemes for infrastructure investment and poverty alleviation in Africa: Evidence from Guinea‐Bissau","year":2023,"lang":"en","type":"article","venue":"Journal of International Development","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Universidade Federal do Paraná; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Université de Sherbrooke","keywords":"Social accounting matrix; Computable general equilibrium; Investment (military); Economics; Poverty; Externality; Poverty reduction; Debt; Per capita; Inequality; Development economics; Economic growth; Public economics; Business; Finance; Macroeconomics; Population; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006094443,0.00008574061,0.0002054143,0.0003790249,0.00003629477,0.00005490782,0.0001753635,0.00005089081,0.00006009421],"category_scores_gemma":[0.0004332029,0.00008593703,0.00004649767,0.0000999682,0.00001277037,0.0003653559,0.00006514989,0.00009260285,0.00002652213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003704122,"about_ca_system_score_gemma":0.00005126157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001717022,"about_ca_topic_score_gemma":0.00001253761,"domain_scores_codex":[0.9989328,0.000005497492,0.0007174846,0.0001454399,0.00005407837,0.0001447369],"domain_scores_gemma":[0.9992829,0.0001265271,0.0004386802,0.00004867553,0.00004591106,0.0000572926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001867856,0.00006245285,0.870456,0.00005559368,0.0003977132,0.00001151865,0.005838385,0.0006219636,0.0003051563,0.07519016,0.04138918,0.005485104],"study_design_scores_gemma":[0.0007322274,0.00003012945,0.746492,0.0001277185,0.000002358755,0.000004075472,0.000102993,0.003722971,0.0002272523,0.1058291,0.142604,0.0001250604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871629,0.0008186413,0.00248084,0.005306001,0.001029096,0.0001377309,0.00005325008,0.000008858246,0.0030027],"genre_scores_gemma":[0.9886799,0.000259786,0.009818221,0.0005787171,0.0002478586,0.00001444797,0.00001765149,0.00001003481,0.0003734091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1239639,"threshold_uncertainty_score":0.3504411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08220108555603639,"score_gpt":0.2643005492862753,"score_spread":0.1820994637302389,"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."}}