{"id":"W2786580321","doi":"","title":"Aid to agriculture, trade and take-off","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"International Development and Aid","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Landlocked country; Industrialisation; Agriculture; Economics; Developing country; International economics; International trade; Development aid; Economic growth; Market economy; Political science; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006373282,0.0003852538,0.0004180902,0.0015226,0.0007852734,0.002731936,0.0002654162,0.0006847666,0.01092918],"category_scores_gemma":[0.003147487,0.0001042078,0.0003615285,0.001826886,0.002169712,0.001183666,0.001599742,0.0007502661,0.0006589351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171239,"about_ca_system_score_gemma":0.0008580021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0042866,"about_ca_topic_score_gemma":0.004098613,"domain_scores_codex":[0.9993823,0.0001773177,0.00002054687,0.00006345296,0.000106745,0.0002496992],"domain_scores_gemma":[0.9957883,0.001989911,0.001387385,0.00009891333,0.0002424546,0.0004932083],"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":[0.001869239,0.001204832,0.3631655,0.001929401,0.0007119048,0.00485929,0.003870048,0.05791054,0.004725634,0.3684317,0.01132423,0.1799977],"study_design_scores_gemma":[0.000243355,0.001136897,0.5950435,0.0009976402,0.0005837554,0.00247483,0.009340213,0.008388785,0.003797731,0.2758037,0.1020771,0.0001125926],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8773206,0.01354588,0.001306974,0.003572679,0.000132145,0.00002020556,0.0003490287,0.00002971095,0.1037227],"genre_scores_gemma":[0.9904164,0.004023367,0.0001076355,0.0001723238,0.00007799857,0.00000485025,0.0000533601,0.000005306503,0.005138665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01092918,"threshold_uncertainty_score":0.03656173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0384040884153493,"score_gpt":0.3443397519038178,"score_spread":0.3059356634884685,"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."}}