{"id":"W4400625987","doi":"10.1787/reg_glance-2016-graph10-en","title":"Change in unemployment rate, by type of region 2014 and 2008 (TL3)","year":2016,"lang":"en","type":"other","venue":"OECD regions at a glance","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Demographic economics; Unemployment rate; Economics; Economic growth","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":[0.001175418,0.0005931988,0.0006058782,0.002559816,0.0006759858,0.001136047,0.001667566,0.0009123607,0.01076015],"category_scores_gemma":[0.004799149,0.0003952702,0.001891416,0.003868525,0.0002456761,0.0008081495,0.001436297,0.001296657,0.008417908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421864,"about_ca_system_score_gemma":0.002090275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1156778,"about_ca_topic_score_gemma":0.1352725,"domain_scores_codex":[0.9985788,0.0002636377,0.0001752918,0.0002970565,0.0003212884,0.0003639127],"domain_scores_gemma":[0.9969484,0.000277927,0.001180055,0.0001368484,0.001051866,0.0004049097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001377774,0.0001888528,0.8563195,0.0008902865,0.0006055741,0.0001470994,0.0008007663,0.001525657,0.0005593583,0.0009063385,0.1148648,0.02181402],"study_design_scores_gemma":[0.00002939882,0.0001413879,0.9805003,0.0001053421,0.00006887512,0.00013908,0.0008751634,0.0004960535,0.0002284127,0.00004474815,0.01734756,0.00002371528],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.4455612,0.001743794,0.00110336,0.001112715,0.0005414143,0.0002111661,0.5326824,0.0007797537,0.01626416],"genre_scores_gemma":[0.5497712,0.001289766,0.001865512,0.0005891692,0.0002398404,0.0008418977,0.3990424,0.0002256165,0.04613458],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1156778,"threshold_uncertainty_score":0.2300088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07332179804193437,"score_gpt":0.3955079345196763,"score_spread":0.322186136477742,"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."}}