{"id":"W2757499581","doi":"10.1111/twec.12742","title":"The common sources of business cycles in Trans‐Pacific countries and the US? A comparison with <scp>NAFTA</scp>","year":2018,"lang":"en","type":"article","venue":"World Economy","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Dimension (graph theory); Business cycle; Variation (astronomy); Econometrics; Principal component analysis; Principal (computer security); International trade; Macroeconomics; Statistics; Computer science; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.000922836,0.0002086888,0.0006733342,0.0002151693,0.0003134061,0.0001934055,0.0003414521,0.00005504956,0.00007866036],"category_scores_gemma":[0.00002694025,0.0001459802,0.00006556929,0.0002465245,0.001287085,0.0003037059,0.0000437933,0.0001645371,0.00009537855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004337727,"about_ca_system_score_gemma":0.00001904021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002437983,"about_ca_topic_score_gemma":0.009188062,"domain_scores_codex":[0.9984405,0.00003761774,0.0007979818,0.0003071991,0.00001996488,0.0003967457],"domain_scores_gemma":[0.9984388,0.0005721897,0.0004938713,0.0004169098,0.0000163008,0.00006195506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000134176,0.00003731876,0.9299425,0.00003868919,0.0001057657,7.127004e-7,0.004037945,0.0009584107,2.471373e-7,0.06256646,0.001730717,0.0004469914],"study_design_scores_gemma":[0.002493633,0.00008086996,0.4243303,0.00004221974,0.00001837169,0.00001089171,0.001104903,0.01335028,0.00008309835,0.01800802,0.5403063,0.0001711926],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931823,0.003073215,0.00009903519,0.002440503,0.0001170735,0.0003265989,0.0000541688,0.0000150887,0.06205134],"genre_scores_gemma":[0.9979092,0.0003671504,0.0000559459,0.0003834145,0.0001328113,0.00003734749,0.000005146722,0.00002133539,0.001087619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5385755,"threshold_uncertainty_score":0.59529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02643181310650059,"score_gpt":0.2097018342400135,"score_spread":0.183270021133513,"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."}}