{"id":"W2548395334","doi":"","title":"The US Monetary Base and Major World Equity Markets: An Empirical Investigation","year":2016,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Equity (law); Monetary economics; Monetary policy; Markov chain; Vector autoregression; Financial economics; Political science","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":[0.001112449,0.0002230522,0.0003148976,0.002548599,0.0002835144,0.001488093,0.0002748032,0.000441238,0.002661005],"category_scores_gemma":[0.004853528,0.0001316902,0.0003517582,0.00579962,0.0003885931,0.001146057,0.0006948016,0.0007637372,0.0004714751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004382006,"about_ca_system_score_gemma":0.0004348163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005303598,"about_ca_topic_score_gemma":0.003944944,"domain_scores_codex":[0.9996687,0.0001445715,0.00002675781,0.00003376854,0.00007725989,0.00004893952],"domain_scores_gemma":[0.9941234,0.002980607,0.002142033,0.0001200953,0.000326756,0.0003070891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002945344,0.0002107073,0.9356567,0.0001967921,0.0003400966,0.0006365686,0.0005695778,0.001873432,0.0002948058,0.008711224,0.003603542,0.047612],"study_design_scores_gemma":[0.00003802014,0.000126068,0.9734986,0.0002488657,0.0002734499,0.0004153704,0.002285597,0.008270168,0.0002264671,0.005354382,0.009239101,0.00002394612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791685,0.01427564,0.0004989759,0.0007475123,0.00002789323,0.00001133258,0.0003917127,0.00001295715,0.004865399],"genre_scores_gemma":[0.9918876,0.006763798,0.0001654771,0.00007544349,0.00008631181,0.000007059195,0.0004889043,0.000004011761,0.0005213331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005303598,"threshold_uncertainty_score":0.01054543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08714042831769891,"score_gpt":0.2731677030844812,"score_spread":0.1860272747667823,"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."}}