{"id":"W2920870303","doi":"10.34989/san-2017-3","title":"Assessing Global Potential Output Growth","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Potential output; Economics; Environmental science; Natural resource economics; Econometrics; Macroeconomics; Monetary policy","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":[0.001885319,0.0009898688,0.000388285,0.004482538,0.0003211657,0.002394779,0.0005611414,0.0004981823,0.006732237],"category_scores_gemma":[0.006867643,0.0001821294,0.001028442,0.006356245,0.0004494227,0.004099653,0.002225238,0.0008816679,0.002812395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001942926,"about_ca_system_score_gemma":0.001327353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01077119,"about_ca_topic_score_gemma":0.007451289,"domain_scores_codex":[0.9991713,0.000119053,0.00004881203,0.0001283044,0.0004201199,0.0001125215],"domain_scores_gemma":[0.9969392,0.0005694807,0.0004351848,0.0001719566,0.001712497,0.0001716891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003286639,0.0000964266,0.264481,0.00175119,0.0005678353,0.0008456938,0.001333857,0.1172119,0.002035317,0.1260405,0.1389055,0.346402],"study_design_scores_gemma":[0.00003381279,0.0004238921,0.2774168,0.001121949,0.0002104741,0.0006289665,0.003745999,0.06014514,0.006353312,0.05589294,0.5938232,0.0002034683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3116182,0.01056899,0.05853053,0.01035127,0.001674603,0.0002588441,0.133643,0.001601569,0.471753],"genre_scores_gemma":[0.8844109,0.009162114,0.01483938,0.0006361338,0.0003628159,0.0003979027,0.06923965,0.0005246846,0.02042641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01077119,"threshold_uncertainty_score":0.02252156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0470770830409533,"score_gpt":0.2666248243598531,"score_spread":0.2195477413188998,"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."}}