{"id":"W3110521808","doi":"10.17981/econcuc.42.1.2021.econ.3","title":"Impacto de la normalización de la política monetaria de la FED en el acceso al crédito de las empresas latinoamericanas","year":2020,"lang":"es","type":"article","venue":"Económicas CUC","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Political science; Welfare economics; Economics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002086937,0.0005950444,0.001023123,0.000384075,0.0003497638,0.0009809007,0.0008694188,0.0007618025,0.002050328],"category_scores_gemma":[0.0009996974,0.0007876382,0.0003264231,0.0007845534,0.000521544,0.0008083014,0.0002488778,0.0009325014,0.0006001616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006746752,"about_ca_system_score_gemma":0.0007236968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005180688,"about_ca_topic_score_gemma":0.00007831427,"domain_scores_codex":[0.9960922,0.0004139324,0.001267108,0.0008827898,0.00007822849,0.001265746],"domain_scores_gemma":[0.9968063,0.001121957,0.0008244938,0.0006054578,0.00007025841,0.0005714993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001278417,0.0002167679,0.94959,0.0001566382,0.0003584116,0.00006342502,0.003324673,0.001298711,0.0004057764,0.0218019,0.0216456,0.001010311],"study_design_scores_gemma":[0.001266526,0.0001088206,0.7363886,0.00004268145,0.00007399112,0.00011379,0.0002660764,0.02534968,0.0005535409,0.007575543,0.227407,0.0008537205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9435391,0.0009705868,0.003521957,0.003902225,0.0003458211,0.000296438,0.0004511577,0.0001408333,0.04683184],"genre_scores_gemma":[0.9866331,0.001299041,0.003881237,0.006172476,0.001399926,0.00005656192,0.00009051373,0.000151277,0.0003158337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2132013,"threshold_uncertainty_score":0.9994575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590543566236551,"score_gpt":0.2778459676671667,"score_spread":0.2619405320048012,"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."}}