{"id":"W7009379886","doi":"","title":"Efectos macroeconomicos de las fluctuaciones de los precios del petroleo en Colombia","year":2016,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Social Issues and Policies in Latin America","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oil price; Quarter (Canadian coin); Vector autoregression; Inflation (cosmology); Unemployment; Structural vector autoregression; Crude oil","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001496988,0.0004975809,0.0006114423,0.0003193917,0.001659018,0.0003113521,0.001134084,0.0007762067,0.0005438569],"category_scores_gemma":[0.002401288,0.0004503344,0.000368599,0.0005938823,0.0001910681,0.0005865718,0.0002675453,0.000523355,0.000101016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002535092,"about_ca_system_score_gemma":0.001401681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008357639,"about_ca_topic_score_gemma":0.001442226,"domain_scores_codex":[0.9948877,0.001318925,0.0007415522,0.0007665151,0.0007346441,0.001550645],"domain_scores_gemma":[0.9961658,0.001543473,0.0004685072,0.0005919484,0.00035191,0.0008784346],"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":[0.0002422051,0.0003601563,0.006291973,0.00004728698,0.0001884113,0.00006721601,0.01864254,0.00003737687,0.005533488,0.9518612,0.005361069,0.01136705],"study_design_scores_gemma":[0.00105809,0.0001132918,0.008128075,0.0001334569,0.00008495308,0.0001717006,0.002267774,0.00009995647,0.001206449,0.00254492,0.9835636,0.0006277349],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.533246,0.0008180666,0.005463193,0.05497083,0.00226613,0.00141155,0.0002437494,0.001198553,0.4003819],"genre_scores_gemma":[0.9900847,0.0007359114,0.003296726,0.0006862183,0.002256117,0.0003350764,0.00002840668,0.00008011649,0.002496738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9782025,"threshold_uncertainty_score":0.9997948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01623577032044897,"score_gpt":0.2839885577362215,"score_spread":0.2677527874157725,"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."}}