{"id":"W3121229627","doi":"10.1111/twec.12074","title":"Business Cycles Synchronicity and Income Levels: Has Globalisation Brought us Closer Than Ever?","year":2013,"lang":"en","type":"article","venue":"World Economy","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Island University","funders":"","keywords":"Synchronicity; Business cycle; Economics; Openness to experience; Consumption (sociology); Per capita income; Globalization; International business; Synchronization (alternating current); Per capita; Monetary economics; Macroeconomics; Econometrics; Market economy","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003465731,0.0003009041,0.0005711613,0.0003097375,0.0002450655,0.0004333519,0.0002759773,0.0001166589,0.003678118],"category_scores_gemma":[0.00003613247,0.00035796,0.0001045897,0.0002470886,0.0001639192,0.001605155,0.0001242273,0.0001611467,0.00364753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002921961,"about_ca_system_score_gemma":0.00003042793,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009959921,"about_ca_topic_score_gemma":0.001385908,"domain_scores_codex":[0.9980186,0.00002134505,0.0008022019,0.0005972905,0.00001883335,0.0005417036],"domain_scores_gemma":[0.9988268,0.00006642963,0.000404524,0.000484818,0.00001986874,0.0001975622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001445261,0.00006517353,0.9336067,0.0000880401,0.0001557964,0.000001671426,0.0002983671,0.001177642,0.000004380061,0.05659966,0.005346505,0.002641607],"study_design_scores_gemma":[0.0005952059,0.00001795415,0.8090531,0.00001829338,0.000007685904,0.00001064571,0.00002134519,0.006716596,0.00002196648,0.05697121,0.1261301,0.0004358242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.934383,0.001386887,0.0004736465,0.003411438,0.0003726112,0.0003998772,0.0001583799,0.00006877771,0.05934535],"genre_scores_gemma":[0.9951692,0.0001003006,0.0006950937,0.001225061,0.0003622249,0.00005866074,0.00003461813,0.00003455952,0.002320292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1245536,"threshold_uncertainty_score":0.9998872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06578916869338927,"score_gpt":0.2182141831199182,"score_spread":0.1524250144265289,"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."}}