{"id":"W3204196268","doi":"10.33423/jabe.v22i13.3910","title":"Long Run Effects of Foreign Aid on Economic Growth","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"International Development and Aid","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gross domestic product; Economics; Per capita; Real gross domestic product; Per capita income; Gross national income; Panel data; Agricultural economics; International economics; Monetary economics; Development economics; Macroeconomics; Demographic economics; Econometrics; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001735086,0.00006667904,0.0001959056,0.00005908299,0.00007340845,0.00004415833,0.0001334354,0.00004321726,0.00003816165],"category_scores_gemma":[0.00002702239,0.00006129142,0.0000402809,0.00003986425,0.00005903601,0.000161693,0.00002234488,0.00006395869,0.00001120025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005904426,"about_ca_system_score_gemma":0.0001342064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002425176,"about_ca_topic_score_gemma":0.00001745643,"domain_scores_codex":[0.9995036,0.000005758871,0.0002649855,0.00007590396,0.00005584362,0.00009395606],"domain_scores_gemma":[0.9994584,0.00007735796,0.0003047517,0.00002383369,0.00006304149,0.00007262349],"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":[0.0004430166,0.00004282293,0.007233461,0.0001093959,0.0001057802,0.000007740794,0.002452923,0.0009246053,0.0001361243,0.981626,0.0009255671,0.005992529],"study_design_scores_gemma":[0.01740397,0.001085895,0.4435286,0.000705028,0.0003302844,0.00003348013,0.007386777,0.002075725,0.04164188,0.38267,0.100935,0.00220331],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560062,0.00002595011,0.0001113619,0.001930317,0.0002777895,0.00007191376,0.00000162063,0.000003381013,0.04157151],"genre_scores_gemma":[0.9980476,0.0006715587,0.0002915708,0.0004395756,0.0005203572,9.956445e-7,9.704637e-7,0.000006439664,0.00002089107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.598956,"threshold_uncertainty_score":0.2499392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020875824293577,"score_gpt":0.2117721486371624,"score_spread":0.2015633903942266,"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."}}