{"id":"W6890224877","doi":"10.34989/san-2024-11","title":"Potential output in Canada: 2024 assessment","year":2024,"lang":"en","type":"article","venue":"Bank of Canada Research","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; Population; Investment (military); Downside risk; Offset (computer science); Population growth; Productivity","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001266062,0.00005984586,0.0001195708,0.0001396359,0.0001797952,0.00005959035,0.0003300117,0.00003931067,0.0006311954],"category_scores_gemma":[0.000231147,0.0000638518,0.00002365705,0.0007564593,0.0001381037,0.00007607068,0.00004673887,0.0003893946,0.000002388251],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006817916,"about_ca_system_score_gemma":0.1606956,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999989,"about_ca_topic_score_gemma":0.9999999,"domain_scores_codex":[0.9968107,0.0002201402,0.0001813438,0.0001960212,0.001907933,0.0006839137],"domain_scores_gemma":[0.9992166,0.0002531792,0.00001753787,0.0001365756,0.0001129073,0.0002631977],"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":[0.000004458099,0.000004628741,0.0005310862,0.00004115608,0.00001003631,0.0005116546,0.0003240493,0.00009712238,0.00001778435,0.04078233,0.9515204,0.006155271],"study_design_scores_gemma":[0.00007055605,0.000009380517,0.0270588,0.00006615231,0.000001678946,0.000001095142,0.00112257,0.0005633297,0.00004007143,0.0008114388,0.9701732,0.00008167142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3725182,0.003668818,0.00001735919,0.2042262,0.002928483,0.000710543,0.001126573,0.00001662327,0.4147873],"genre_scores_gemma":[0.9460371,0.00008463999,0.00001234658,0.0002494929,0.0002145245,0.00001201783,0.000001499108,0.000007504778,0.05338088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5735189,"threshold_uncertainty_score":0.9969947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04324826059678638,"score_gpt":0.381561319594913,"score_spread":0.3383130589981266,"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."}}