{"id":"W2921380771","doi":"10.34989/san-2018-26","title":"Decomposing Canada’s Market Shares: An Update","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Depreciation (economics); Market share; Liberian dollar; China; Economics; Preference; Us dollar; Financial economics; Monetary economics; Geography; Market economy; Exchange rate; Finance; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001426543,0.001278925,0.00075463,0.01679691,0.002557612,0.00484831,0.002086136,0.000665499,0.01643371],"category_scores_gemma":[0.007780039,0.0005272549,0.0009237477,0.04468733,0.001275864,0.00387791,0.001540486,0.001342971,0.001656076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04170589,"about_ca_system_score_gemma":0.05512512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9882139,"about_ca_topic_score_gemma":0.9898182,"domain_scores_codex":[0.9979439,0.00006133886,0.00008903194,0.0001556923,0.001425645,0.0003244191],"domain_scores_gemma":[0.9877583,0.0007554574,0.0006476236,0.0003876967,0.009865409,0.0005854715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001142882,0.00008607242,0.08610388,0.001035765,0.0002442369,0.0002396549,0.001276294,0.003018272,0.0003247971,0.05573621,0.5259787,0.3258417],"study_design_scores_gemma":[0.00002176347,0.0000214346,0.1306367,0.001473935,0.0001112957,0.0001671741,0.001951123,0.003305229,0.0007991202,0.006426083,0.8549404,0.0001457935],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1239321,0.1929782,0.008124617,0.04566885,0.003887321,0.0002701675,0.3184191,0.0008581718,0.3058614],"genre_scores_gemma":[0.5310871,0.2055122,0.0128024,0.004627095,0.002198383,0.0001677759,0.1561962,0.0008599738,0.08654886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04170589,"threshold_uncertainty_score":0.3025988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0312813301281556,"score_gpt":0.2311732418002084,"score_spread":0.1998919116720528,"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."}}