{"id":"W2089380382","doi":"10.1515/1935-1690.2436","title":"News Shocks, Productivity and the U.S. Investment Boom-Bust Cycle","year":2012,"lang":"en","type":"article","venue":"The B E Journal of Macroeconomics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Bust; Economics; Boom; Business cycle; Recession; Productivity; Investment (military); Consumption (sociology); Monetary economics; Stock (firearms); Macroeconomics; Keynesian economics; Econometrics; Engineering","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":[0.0006491456,0.0002971409,0.0003510979,0.000590454,0.0004216432,0.00293418,0.0002333502,0.001056765,0.001898415],"category_scores_gemma":[0.00412601,0.0002759468,0.000271972,0.001085494,0.0005276232,0.0009297818,0.0004262469,0.000919216,0.0002277358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001801283,"about_ca_system_score_gemma":0.000622847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03466653,"about_ca_topic_score_gemma":0.03227037,"domain_scores_codex":[0.9999144,0.00002293206,0.000006090773,0.00001874586,0.00001092808,0.00002688349],"domain_scores_gemma":[0.9986945,0.0005184917,0.0005448306,0.00003356823,0.00008026632,0.0001284673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001136399,0.0002592576,0.572981,0.0001655008,0.0002936747,0.001207388,0.001225862,0.2179853,0.001454626,0.1365842,0.02094565,0.04576117],"study_design_scores_gemma":[0.0001817557,0.0003062186,0.4532605,0.0001728496,0.0002947,0.0003156279,0.002111546,0.4111278,0.001090248,0.1191663,0.01186467,0.0001077139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811684,0.001297008,0.002322881,0.004565176,0.00006389663,0.00001337212,0.001114713,0.00007296195,0.009381598],"genre_scores_gemma":[0.9977145,0.0009014548,0.0001799488,0.0001199079,0.00002068441,0.000004464967,0.0003492432,0.000005423323,0.0007042918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03466653,"threshold_uncertainty_score":0.06892949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02265269433764514,"score_gpt":0.2085584155083675,"score_spread":0.1859057211707223,"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."}}