{"id":"W3013703703","doi":"10.1111/roie.12597","title":"International information flows, sentiments and cross-country business cycle fluctuations","year":2020,"lang":"en","type":"preprint","venue":"Review of International Economics","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Narodowe Centrum Nauki","keywords":"Business cycle; Shock (circulatory); Consumption (sociology); Economics; Construct (python library); Variance (accounting); Investment (military); International business; Monetary economics; Econometrics; Macroeconomics; Political science; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005171684,0.0002846823,0.0007591782,0.0002366384,0.00005254992,0.0002694536,0.0007374835,0.0001856198,0.001180841],"category_scores_gemma":[0.0003403137,0.0003647052,0.0002577494,0.00006773899,0.00008621693,0.0009574066,0.0008444781,0.0002658248,0.0003532036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003023219,"about_ca_system_score_gemma":0.0001010164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001588291,"about_ca_topic_score_gemma":0.00000553221,"domain_scores_codex":[0.9974127,0.000009609278,0.001893182,0.0004706088,0.0000511646,0.0001626974],"domain_scores_gemma":[0.9973848,0.00004377697,0.001829734,0.0003821413,0.0002690268,0.00009044995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005020152,0.00009666979,0.005133869,0.005386294,0.001292931,0.000001132294,0.0002825087,0.01014837,0.000004312253,0.9691969,0.002850826,0.005555981],"study_design_scores_gemma":[0.0009238028,0.00001624343,0.007674808,0.002290047,0.00005846779,0.00001542948,0.00002951777,0.0950846,0.00001508986,0.1541812,0.7389976,0.000713108],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.2409128,0.1414688,0.03300742,0.04874818,0.04094986,0.004556165,0.06786664,0.0003087177,0.4221815],"genre_scores_gemma":[0.1740955,0.8036642,0.007869592,0.004753175,0.001112832,0.0001680881,0.007843713,0.0000791435,0.0004138235],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8150157,"threshold_uncertainty_score":0.9998805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01938017440282958,"score_gpt":0.2610471999469984,"score_spread":0.2416670255441688,"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."}}