{"id":"W3084593179","doi":"","title":"Just Released: Benchmark Revisions Paint a Brighter Picture of (Most of) the Regional Economy","year":2015,"lang":"en","type":"article","venue":"Liberty Street Economics","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Payroll; Metropolitan area; Boom; Unemployment; Sample (material); Demographic economics; Economics; Benchmark (surveying); Geography; Labour economics; Economic growth; Engineering; Cartography; Accounting; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004199818,0.0008865754,0.0006869081,0.005824519,0.0008240309,0.007361751,0.001551173,0.0008488864,0.04981015],"category_scores_gemma":[0.05021138,0.0006011099,0.0005615379,0.008673189,0.0004900659,0.003305566,0.002039401,0.00230884,0.04638584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002359428,"about_ca_system_score_gemma":0.003559458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07425498,"about_ca_topic_score_gemma":0.0635975,"domain_scores_codex":[0.9932486,0.0007239,0.0007637781,0.0004985375,0.004185372,0.0005798367],"domain_scores_gemma":[0.9534709,0.003700124,0.004593314,0.006011062,0.03040779,0.0018168],"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":[0.0001040974,0.00002280628,0.005398952,0.0001346249,0.00001925317,0.00004050678,0.0001215671,0.0004010144,0.0002738168,0.003341768,0.9623119,0.02782976],"study_design_scores_gemma":[0.00002683729,0.00004198702,0.03354283,0.0001400165,0.0000117668,0.00006098516,0.0002963257,0.0003510779,0.0008778387,0.001166338,0.9634115,0.00007246387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"commentary","genre_scores_codex":[0.0212892,0.002744839,0.004105553,0.01361258,0.01475591,0.00033141,0.8065063,0.01146033,0.1251938],"genre_scores_gemma":[0.1089062,0.002737088,0.009938017,0.003454418,0.0034732,0.0006315693,0.7436672,0.01080136,0.1163909],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.07425498,"threshold_uncertainty_score":0.1666316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05843105378944451,"score_gpt":0.2227637203984774,"score_spread":0.164332666609033,"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."}}