{"id":"W2139351976","doi":"10.1111/j.1538-4616.2011.00392.x","title":"Monetary Policy in the Media","year":2006,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Credibility; Monetary policy; Inflation (cosmology); Media coverage; Monetary economics; Central bank; Economics; Private information retrieval; Inflation targeting; Business; Political science; Computer science; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001473192,0.0002731054,0.0002595989,0.002480282,0.001927736,0.009817064,0.0002631826,0.002566394,0.0239307],"category_scores_gemma":[0.009658365,0.000236373,0.0001769338,0.002422683,0.002255211,0.00490936,0.001387706,0.001928496,0.001882882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002123564,"about_ca_system_score_gemma":0.001086509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004172148,"about_ca_topic_score_gemma":0.004168874,"domain_scores_codex":[0.9985468,0.000724383,0.0000461938,0.000149232,0.0002954598,0.0002378986],"domain_scores_gemma":[0.9929569,0.004287001,0.001042653,0.0002772427,0.0008225964,0.0006137413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005437583,0.0002922471,0.03652147,0.0003145444,0.0001123829,0.0005458966,0.006541577,0.001315394,0.002169345,0.7496995,0.06922902,0.1327149],"study_design_scores_gemma":[0.000131464,0.0002239188,0.1183182,0.001227915,0.0002049384,0.0004166874,0.01394085,0.003864466,0.002944988,0.3001649,0.5584625,0.00009930313],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1679085,0.02093214,0.001428756,0.1217155,0.001393768,0.00002371862,0.0005299053,0.00005927652,0.6860085],"genre_scores_gemma":[0.9701664,0.00579449,0.0001325076,0.003271201,0.002190376,0.00001625208,0.0000515622,0.00001799553,0.01835923],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0239307,"threshold_uncertainty_score":0.08005619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217854767597696,"score_gpt":0.2982299394082893,"score_spread":0.2764444626485197,"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."}}