{"id":"W4413129230","doi":"10.3390/jrfm18080451","title":"Influence of Macroeconomic Variables on the Brazilian Stock Market","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Presbiteriana Mackenzie","keywords":"Stock market; Economics; Business; Financial economics; Financial system; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001269323,0.0003402042,0.0003344941,0.0009287401,0.0002108274,0.001377302,0.0001858214,0.0002866441,0.001010657],"category_scores_gemma":[0.005388193,0.0001226672,0.0003958298,0.001161213,0.0002635879,0.0004602052,0.0004565798,0.0003850831,0.0001433331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008599143,"about_ca_system_score_gemma":0.0006817708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03094094,"about_ca_topic_score_gemma":0.02302472,"domain_scores_codex":[0.9994749,0.0001378054,0.00005028455,0.00007924734,0.0001834312,0.00007422219],"domain_scores_gemma":[0.9982604,0.0006311603,0.0005617,0.0001070072,0.0003558685,0.00008394162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000205734,0.0001185229,0.9283736,0.0001692487,0.0003049581,0.0006222043,0.0004508187,0.02089198,0.00498631,0.004347812,0.001108935,0.03841987],"study_design_scores_gemma":[0.000008446138,0.000116655,0.9763467,0.00003921174,0.00008268061,0.00009880852,0.0003766435,0.01763088,0.001238782,0.0008593259,0.003182343,0.00001957619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920639,0.0007747166,0.0007421196,0.0003091532,0.00002659858,0.00002032641,0.0006400003,0.00002625222,0.005396824],"genre_scores_gemma":[0.9986413,0.0004105511,0.000162054,0.00002352402,0.00001220396,0.000005970929,0.0003775741,0.000005072326,0.0003616323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03094094,"threshold_uncertainty_score":0.06152171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00799440487904086,"score_gpt":0.1973611881762956,"score_spread":0.1893667832972547,"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."}}