{"id":"W2993451959","doi":"10.1111/meca.12279","title":"Aid to agriculture, trade and structural change","year":2019,"lang":"en","type":"article","venue":"Metroeconomica","topic":"International Development and Aid","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Landlocked country; Openness to experience; Agriculture; Economics; Industrialisation; Developing country; Panel data; International economics; Structural adjustment; International trade; Economic growth; Econometrics; Market economy; Political 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":[0.00009953222,0.00004787955,0.0000729481,0.00004457267,0.00008098051,0.00005435069,0.0001026109,0.00002776533,0.0005241295],"category_scores_gemma":[0.00001189547,0.00004050208,0.00001994144,0.00004385219,0.00001828494,0.000158747,0.00002373038,0.00003327345,0.0003470734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006778636,"about_ca_system_score_gemma":0.000012661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000270054,"about_ca_topic_score_gemma":0.0004748099,"domain_scores_codex":[0.999602,0.00001567292,0.00006920686,0.0001202091,0.00006035193,0.0001325404],"domain_scores_gemma":[0.9998482,0.00002049222,0.00002187407,0.00003517994,0.00000767544,0.00006658996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004366048,0.00001850749,0.2669167,0.00001385134,0.00008740515,0.000002118256,0.03059424,0.000004603257,0.001925797,0.6569467,0.01885435,0.02459215],"study_design_scores_gemma":[0.0001799587,0.00002334508,0.3895003,0.000004683198,0.000002645848,5.058542e-7,0.0007826138,0.00001231962,0.0003641043,0.001371399,0.6076305,0.000127626],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9320747,0.00003173852,0.00000107465,0.007454884,0.0004645008,0.0001662998,0.000004924067,0.00001817608,0.05978372],"genre_scores_gemma":[0.9943345,0.00001221435,0.0004170207,0.001119207,0.0002880846,0.000008853677,0.000004038943,0.000003086697,0.003812975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6555753,"threshold_uncertainty_score":0.573885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01927909672784575,"score_gpt":0.2687551768191941,"score_spread":0.2494760800913484,"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."}}