{"id":"W3124466347","doi":"10.1111/caje.12251","title":"Exchange rate fluctuations and labour market adjustments in Canadian manufacturing industries","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Depreciation (economics); Economics; Manufacturing; Liberian dollar; Sample (material); Exchange rate; Term (time); Panel data; Us dollar; Labour economics; Econometrics; Macroeconomics; Business; Finance; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0005668284,0.0004200616,0.0003424694,0.00178055,0.0008681456,0.001274556,0.0004454549,0.0003091012,0.002556813],"category_scores_gemma":[0.003202786,0.0001932581,0.0003838529,0.003157723,0.0003610525,0.0002918855,0.0004995222,0.0006160247,0.0002065806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008283988,"about_ca_system_score_gemma":0.007031907,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.973249,"about_ca_topic_score_gemma":0.9673639,"domain_scores_codex":[0.9996747,0.00002449181,0.00001335073,0.0000493427,0.0001272836,0.0001108372],"domain_scores_gemma":[0.9986994,0.0002212582,0.0004104828,0.00005492189,0.0004685362,0.0001453442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002130009,0.00005221146,0.9529572,0.00006769475,0.0001587769,0.0002708929,0.0006526511,0.02110968,0.0007288825,0.003966455,0.002799416,0.01702319],"study_design_scores_gemma":[0.00001188604,0.00001566643,0.9837373,0.00002909863,0.00003363932,0.00002393522,0.0005809685,0.01149508,0.0003238073,0.000326214,0.003403546,0.00001880929],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990923,0.0006779537,0.0003783515,0.0004196001,0.000008949249,0.00001503636,0.003159101,0.00002225327,0.00439576],"genre_scores_gemma":[0.9964632,0.0003435895,0.0001095488,0.00002582124,0.000004533219,0.000002898843,0.001867875,0.000003417431,0.001179097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02675104,"threshold_uncertainty_score":0.06010485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2003109565885067,"score_gpt":0.1913924564037381,"score_spread":0.008918500184768585,"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."}}