{"id":"W2894349062","doi":"10.1111/grow.12267","title":"The elusive quest for balanced regional growth from Barlow to Brexit: Lessons from partitioning regional employment growth in Great Britain","year":2018,"lang":"en","type":"article","venue":"Growth and Change","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Brexit; Hierarchy; Government (linguistics); Regional policy; European union; Regional science; Commission; Sustainable growth rate; Economics; Economic geography; Political science; Geography; International trade; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002597935,0.0002327711,0.0004516738,0.000172322,0.000380054,0.0001374118,0.0002800473,0.0001568121,0.00007913246],"category_scores_gemma":[0.0001020932,0.0002226303,0.0001573167,0.0002157115,0.0001880555,0.0002957362,0.00009114908,0.0001411582,0.0001051604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000153835,"about_ca_system_score_gemma":0.00003421167,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03244705,"about_ca_topic_score_gemma":0.01263521,"domain_scores_codex":[0.9982518,0.0000255064,0.0005274921,0.0006859875,0.00006723502,0.0004420069],"domain_scores_gemma":[0.9990293,0.0002347655,0.0002359671,0.000207399,0.00009165853,0.0002008771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003845874,0.0001070581,0.1798788,0.00002271248,0.0002565136,0.000007892181,0.004002617,0.000003652112,0.00003562705,0.8072765,0.006663614,0.001360427],"study_design_scores_gemma":[0.001979567,0.0002967013,0.3897312,0.000129784,0.00003328083,0.000003261175,0.0003888493,0.001379597,0.0001480381,0.5919029,0.0133834,0.0006234891],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8577321,0.003864625,0.007828146,0.1255684,0.0005293574,0.0009443508,0.001836071,0.00005617435,0.001640791],"genre_scores_gemma":[0.9909989,0.00136852,0.0005947194,0.004737298,0.001419915,0.0004195955,0.0002860945,0.00002929476,0.0001456219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2153737,"threshold_uncertainty_score":0.973996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07384580607520129,"score_gpt":0.2551113107814593,"score_spread":0.181265504706258,"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."}}