{"id":"W2102961129","doi":"10.2202/1935-1690.1863","title":"Foreign Aid, Donor Fragmentation, and Economic Growth","year":2009,"lang":"en","type":"article","venue":"The B E Journal of Macroeconomics","topic":"International Development and Aid","field":"Social Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Fragmentation (computing); Economics; Aid effectiveness; International economics; Developing country; Economic growth; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000877614,0.00005196052,0.00009127927,0.00005334401,0.0002074409,0.00006926394,0.0002266819,0.0000256497,0.000143471],"category_scores_gemma":[0.00002625911,0.00003987808,0.00003682721,0.00001775231,0.00008316035,0.0003068158,0.00001256919,0.00007686894,0.00002917621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001418474,"about_ca_system_score_gemma":0.0001373597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008630763,"about_ca_topic_score_gemma":0.0001236044,"domain_scores_codex":[0.9994899,0.00004319781,0.0002529071,0.00004335223,0.00006384271,0.0001068051],"domain_scores_gemma":[0.9995162,0.00009338918,0.0002453859,0.00003566515,0.00005795704,0.00005135157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001250809,0.00002087126,0.01534527,0.0000020235,0.00006098567,0.000002382189,0.00696977,0.0001070192,0.00004857667,0.9612392,0.008512203,0.007566567],"study_design_scores_gemma":[0.001644965,0.0002310684,0.08045942,0.00003155032,0.00006259709,0.00008704362,0.007961808,0.000165447,0.0011043,0.8281752,0.07977445,0.0003021561],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9447134,0.0001049396,0.00009353548,0.01197346,0.0002711078,0.00005981676,0.000002095799,0.000004306014,0.04277739],"genre_scores_gemma":[0.996193,0.001207147,0.000635544,0.001003179,0.0004124203,3.028562e-7,6.236514e-7,0.000003281554,0.0005445281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1330641,"threshold_uncertainty_score":0.1626181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101500049293214,"score_gpt":0.2673490831540465,"score_spread":0.2571990782247252,"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."}}