{"id":"W3122741511","doi":"","title":"The Extensive Margin, Sectoral Shares and International Business Cycles","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business cycle; Economics; Margin (machine learning); Exchange rate; Consumption (sociology); Monetary economics; Econometrics; International business; Macroeconomics","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":[0.0003890505,0.0001498294,0.0001901091,0.0007179097,0.0001559154,0.001223312,0.0001753671,0.0002544507,0.003227083],"category_scores_gemma":[0.003962259,0.00009412417,0.0001469086,0.001550966,0.0008001045,0.001633347,0.0005546176,0.0003366635,0.0002706605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003336142,"about_ca_system_score_gemma":0.0001686812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001991051,"about_ca_topic_score_gemma":0.001945002,"domain_scores_codex":[0.9998987,0.00002572413,0.000009661831,0.00002227376,0.00002671332,0.00001693613],"domain_scores_gemma":[0.997549,0.0009578537,0.001006386,0.0002471091,0.00009679627,0.0001428248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003637834,0.00008179861,0.5571446,0.0001296286,0.0001773611,0.0005952756,0.001296714,0.08916096,0.005276992,0.2533547,0.002766809,0.08965141],"study_design_scores_gemma":[0.00002181545,0.00008396959,0.5669987,0.00007025195,0.00006042741,0.0007551154,0.0008831554,0.04445921,0.001570218,0.3711365,0.0139164,0.00004421284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666691,0.001548958,0.00783971,0.0006313574,0.00001510376,0.00000690472,0.0005481786,0.00004350151,0.02269711],"genre_scores_gemma":[0.999044,0.0002071159,0.0001421865,0.00001213599,0.00001352257,0.000001219274,0.00006498509,0.000004819415,0.0005099024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003227083,"threshold_uncertainty_score":0.01079565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06098258912595127,"score_gpt":0.2233578440288249,"score_spread":0.1623752549028736,"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."}}