{"id":"W4377832331","doi":"10.1257/pandp.20231117","title":"News Media, Inflation, and Sentiment","year":2023,"lang":"en","type":"article","venue":"AEA Papers and Proceedings","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Inflation (cosmology); Narrative; Social media; Economics; Sentiment analysis; Monetary economics; Real interest rate; Keynesian economics; Monetary policy; Political science; Computer science; Linguistics; Artificial intelligence; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003518113,0.00008146299,0.0001589661,0.00008274021,0.000112232,0.0001245227,0.00004486131,0.00005913133,0.0001667932],"category_scores_gemma":[0.00006952429,0.00009397719,0.00002468364,0.0001878479,0.00003964494,0.0001319025,0.00005952559,0.00006170733,0.00002600299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001138041,"about_ca_system_score_gemma":0.000003256467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001961845,"about_ca_topic_score_gemma":0.00005542929,"domain_scores_codex":[0.9993144,0.000001222704,0.0002269223,0.0002700326,0.00002589943,0.0001614856],"domain_scores_gemma":[0.9997317,0.00003090143,0.00008679917,0.00005163119,0.00001793763,0.00008108324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005179004,0.000005799229,0.9612715,0.00003894619,0.00001427209,5.129501e-7,0.0009007134,1.387607e-7,0.00004559496,0.02954683,0.001879311,0.006291249],"study_design_scores_gemma":[0.0003433968,0.00002594454,0.8094708,0.00001016757,0.000004804946,0.000002624733,0.0002888261,0.01118294,0.000004346933,0.04626,0.1322172,0.0001890241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9351177,0.0003166779,0.000006621446,0.001079578,0.00009827285,0.0000976665,0.00002329113,0.00004549205,0.06321475],"genre_scores_gemma":[0.9967722,0.001150335,0.0001587508,0.0001904666,0.00005607054,0.00001089538,0.0000123218,0.0000104103,0.00163854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1518007,"threshold_uncertainty_score":0.3832279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704074917151296,"score_gpt":0.20332629232548,"score_spread":0.186285543153967,"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."}}