{"id":"W1185221106","doi":"","title":"Investigación diagnóstica sobre la acción de los canales diplomáticos de Colombia en organizaciones internacionales dedicadas a la cooperación y con países productores de carne con el ánimo de hacer más competitivo el sector cárnico colombiano en el mercado internacional durante el gobierno de Álvaro Uribe Vélez 2002-2009.","year":2012,"lang":"es","type":"dissertation","venue":"reponame:Repositorio Institucional EdocUR","topic":"History and Politics in Latin America","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.003803273,0.00198309,0.002257331,0.0007078922,0.002401678,0.0007571988,0.002378934,0.002550307,0.0008726019],"category_scores_gemma":[0.01223225,0.002179061,0.0008284731,0.0009623034,0.00316234,0.001031757,0.0005052945,0.003598493,0.0001706682],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007538593,"about_ca_system_score_gemma":0.02006267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0239845,"about_ca_topic_score_gemma":0.01010548,"domain_scores_codex":[0.9841183,0.005698551,0.002480478,0.002106811,0.002567286,0.003028602],"domain_scores_gemma":[0.9848349,0.008031164,0.002099208,0.001032781,0.001512771,0.002489149],"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":[0.002257599,0.003976696,0.4049869,0.002710843,0.003173593,0.003495998,0.09347652,0.001061358,0.06118454,0.4127776,0.009988198,0.000910135],"study_design_scores_gemma":[0.003441415,0.000908289,0.3013824,0.008144669,0.003044179,0.005520935,0.008940719,0.0009147097,0.01544616,0.004151242,0.6430643,0.005040939],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699352,0.003357196,0.0004510122,0.002129945,0.00630343,0.001703846,0.002336708,0.0004926703,0.01328997],"genre_scores_gemma":[0.9763919,0.003919026,0.002049269,0.0009276096,0.008766695,0.0005525983,0.001041071,0.0003801501,0.005971644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6330761,"threshold_uncertainty_score":0.9995505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009721621248036981,"score_gpt":0.3179531549830758,"score_spread":0.3082315337350388,"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."}}