{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001482743,0.000366657,0.0003776014,0.001103593,0.0003824329,0.001485933,0.0001811571,0.0003628683,0.003278112],"category_scores_gemma":[0.004880679,0.0001507749,0.000522423,0.001266999,0.0006228915,0.0008030392,0.001289277,0.001158356,0.0005085933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001098929,"about_ca_system_score_gemma":0.001014798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01657861,"about_ca_topic_score_gemma":0.01680524,"domain_scores_codex":[0.9994068,0.0001806943,0.00003131855,0.0000817809,0.00009198592,0.0002074357],"domain_scores_gemma":[0.9954849,0.002306226,0.001117263,0.0001378425,0.0004981646,0.0004555595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005443648,0.0002016537,0.939441,0.0001231433,0.0005060413,0.0005876768,0.000302667,0.02753017,0.0008545948,0.004635548,0.003178759,0.02209443],"study_design_scores_gemma":[0.00003582531,0.0003067431,0.9773071,0.00009633772,0.0002445868,0.0001463418,0.0008490022,0.009581883,0.001533817,0.002587939,0.007264896,0.00004567015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881858,0.00157057,0.00038908,0.001100253,0.00004836523,0.00000541881,0.001342313,0.0000338167,0.007324348],"genre_scores_gemma":[0.996959,0.0007458194,0.00006372473,0.000060536,0.00002290396,0.000005174519,0.0007865618,0.000004236745,0.001352132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01657861,"threshold_uncertainty_score":0.03296423,"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."}}