{"id":"W2940796751","doi":"10.34989/san-2019-10","title":"Potential Output in Canada: 2019 Reassessment","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Potential output; Productivity; Economics; Environmental science; Monetary economics; Macroeconomics","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":[0.003549602,0.0006159639,0.0004762504,0.002253809,0.002593373,0.00447424,0.001961713,0.001284597,0.00844569],"category_scores_gemma":[0.01369496,0.0003391716,0.0007080299,0.003874318,0.0009371053,0.001148475,0.001651725,0.002096546,0.001447602],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09373751,"about_ca_system_score_gemma":0.1407461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9927714,"about_ca_topic_score_gemma":0.9928611,"domain_scores_codex":[0.9963503,0.0001034998,0.0001156871,0.0002048216,0.002169578,0.001056203],"domain_scores_gemma":[0.9876568,0.0003633431,0.0004121571,0.0001920476,0.00980533,0.001570198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006054132,0.0001192485,0.128099,0.0005182583,0.000162862,0.0007391631,0.001783523,0.01333562,0.0009601459,0.02108188,0.7536478,0.07894717],"study_design_scores_gemma":[0.00007003359,0.0001452048,0.4261372,0.0004474707,0.00007727918,0.0001214599,0.003240349,0.01245668,0.002518119,0.002854689,0.5517263,0.0002051537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.2836243,0.005927284,0.004062951,0.1761758,0.004040886,0.0003250519,0.3177931,0.001917878,0.2061328],"genre_scores_gemma":[0.8419557,0.002869968,0.002538079,0.009742835,0.000355259,0.0001321801,0.06738166,0.0003145502,0.07470985],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9062625,"threshold_uncertainty_score":0.6801164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01745908686093428,"score_gpt":0.2929301875524544,"score_spread":0.2754711006915201,"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."}}