{"id":"W7096341557","doi":"","title":"Business Cycles, Core and Periphery in Monetary Unions: Comparing Europe and North America","year":2008,"lang":"en","type":"article","venue":"","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Core (optical fiber); Sample (material); Business cycle; Economic indicator; Cluster analysis; Large sample","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008604295,0.0001003851,0.0002256837,0.002316538,0.0005172545,0.001183404,0.0002160753,0.0002710652,0.001113527],"category_scores_gemma":[0.00372889,0.0000939985,0.0002024807,0.002555374,0.0005299425,0.0009006973,0.0008890561,0.0002297484,0.0001136779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007740894,"about_ca_system_score_gemma":0.0005459649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06721251,"about_ca_topic_score_gemma":0.09365454,"domain_scores_codex":[0.9997423,0.00006773353,0.00001771296,0.00006483569,0.00003633327,0.00007096084],"domain_scores_gemma":[0.9979429,0.0006045504,0.0005909455,0.0001066686,0.0005136789,0.0002412976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007285275,0.0001012261,0.9507784,0.00006743313,0.0002640459,0.0003489806,0.00491649,0.003777063,0.001055288,0.004877436,0.001141177,0.03194389],"study_design_scores_gemma":[0.00001274302,0.00002484051,0.9911362,0.00004709236,0.00005746121,0.00006259177,0.004034003,0.001513756,0.0002241876,0.001012473,0.001866508,0.000008174003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968801,0.0005016471,0.00009023201,0.00008242464,0.000002715846,0.00000171332,0.00006203508,0.000001845864,0.002377375],"genre_scores_gemma":[0.9992053,0.0002563437,0.00005961316,0.00002672649,0.000006287431,0.000001726006,0.0001428783,0.000001654726,0.0002994605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06721251,"threshold_uncertainty_score":0.1336426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05369441484203948,"score_gpt":0.2105227237994605,"score_spread":0.1568283089574211,"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."}}