{"id":"W1661056566","doi":"10.22206/cys.2002.v27i2.pp303-12","title":"Presión sobre el mercado cambiario en la República Dominicana : una estimación empírica","year":2002,"lang":"es","type":"article","venue":"Ciencia y Sociedad","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001441904,0.0003999097,0.0007327589,0.001856352,0.0007323948,0.00209932,0.00091409,0.0006462898,0.00605886],"category_scores_gemma":[0.008211138,0.0003052616,0.0007094084,0.003593131,0.0007714027,0.001052559,0.001344927,0.001075391,0.0005431976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003732187,"about_ca_system_score_gemma":0.003045761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4197738,"about_ca_topic_score_gemma":0.3441291,"domain_scores_codex":[0.9996246,0.0001111507,0.00001283131,0.00006846202,0.00007489398,0.0001081088],"domain_scores_gemma":[0.9979385,0.001085248,0.0003368543,0.0001702856,0.0003745119,0.00009464089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006605859,0.00008169413,0.6689758,0.000413472,0.0007710934,0.0007459701,0.003213499,0.1551563,0.001185387,0.06086758,0.01622088,0.0917078],"study_design_scores_gemma":[0.0001621042,0.00008367447,0.6110149,0.0009181577,0.0008686049,0.0003327282,0.008170132,0.2415013,0.00229834,0.03860135,0.09593429,0.0001144419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470018,0.006990744,0.009214292,0.00296561,0.0000402595,0.00004865402,0.005745586,0.0001415418,0.02785144],"genre_scores_gemma":[0.9891135,0.003833331,0.001436869,0.0000820448,0.00003177131,0.00002765034,0.001614859,0.0000287421,0.003831343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4197738,"threshold_uncertainty_score":0.8346609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05406246401318645,"score_gpt":0.2634298251686346,"score_spread":0.2093673611554482,"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."}}