{"id":"W2122460975","doi":"10.1080/0042098042000316155","title":"Old Industrial Regions and Employability","year":2005,"lang":"en","type":"article","venue":"Urban Studies","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Employability; Metropolitan area; Restructuring; Labour economics; Government (linguistics); Economic growth; Human capital; Quarter (Canadian coin); Underemployment; Work (physics); Business; Economic restructuring; Accreditation; Unemployment; Development economics; Economics; Geography; Engineering; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006233745,0.00007252244,0.0001401048,0.00002772878,0.0006176447,0.00003215439,0.00008283719,0.00006313403,0.0001108529],"category_scores_gemma":[0.000935994,0.0000642986,0.00003326259,0.000165776,0.0007077032,0.0001145659,0.00004450906,0.00009945771,0.00004725614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001332658,"about_ca_system_score_gemma":0.00008606142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006259211,"about_ca_topic_score_gemma":0.003516154,"domain_scores_codex":[0.9991229,0.0001648264,0.0001485466,0.0002005984,0.0001632861,0.0001999013],"domain_scores_gemma":[0.9993622,0.0002428625,0.00003482153,0.000155151,0.0001012085,0.0001037466],"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":[0.000005461618,0.0000749726,0.7385007,0.000003857401,0.00002834803,1.611853e-7,0.06013935,2.842664e-7,0.000001661326,0.02410162,0.1709979,0.006145623],"study_design_scores_gemma":[0.000188409,0.00001783398,0.07331654,0.000007380712,0.00001614946,1.67183e-7,0.005068339,1.385738e-7,0.000008712146,0.004980237,0.9162881,0.0001079488],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9526511,0.00174517,0.000003842372,0.03737324,0.0005115676,0.0002097286,0.000003294303,0.0001280019,0.007374007],"genre_scores_gemma":[0.9860012,0.0002144168,0.0002202287,0.0004190454,0.001140392,0.0000230251,5.52141e-7,0.000004114263,0.01197706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7452902,"threshold_uncertainty_score":0.4750486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1561883026310552,"score_gpt":0.3953663848646633,"score_spread":0.2391780822336081,"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."}}