{"id":"W6982280053","doi":"","title":"How big is the 'German locomotive'? A perspective from Central and Eastern European countries' unemployment rates
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\\n","year":2011,"lang":"en","type":"book","venue":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","topic":"Unemployment and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Junta de Castilla y León; Generalitat Valenciana; Trent University; Nottingham Trent University","keywords":"Unemployment; Business cycle; German; Post communist; Sample (material); Perspective (graphical); Transition (genetics); Convergence (economics); German economy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0007143836,0.0002110289,0.0003037989,0.001153457,0.001098781,0.002292377,0.0002134839,0.0004722173,0.0007910975],"category_scores_gemma":[0.0007028342,0.000106936,0.0001762547,0.002210736,0.00237632,0.001365933,0.0007305723,0.0005061554,0.00006187766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001675201,"about_ca_system_score_gemma":0.000777166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03663842,"about_ca_topic_score_gemma":0.06176257,"domain_scores_codex":[0.9998216,0.0000699181,0.000008612315,0.00002477249,0.00002739894,0.00004768796],"domain_scores_gemma":[0.9997705,0.00009738874,0.00005401283,0.000008841839,0.00002821644,0.00004109761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003151599,0.00008228565,0.197771,0.0006656363,0.0001447449,0.00189692,0.1313627,0.004247049,0.001310719,0.4545066,0.03644905,0.1712481],"study_design_scores_gemma":[0.00001823182,0.0001245313,0.7046266,0.001643124,0.00009204306,0.0007141422,0.09569436,0.002053651,0.0003745408,0.04083796,0.1537733,0.0000474861],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8826655,0.0613156,0.0006965713,0.01723454,0.0001504781,0.000006475561,0.0002577051,0.00000764874,0.03766557],"genre_scores_gemma":[0.9818326,0.01476264,0.0001498648,0.0007780672,0.00005821721,0.000003480543,0.00007718855,0.000003162682,0.002334801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03663842,"threshold_uncertainty_score":0.07285029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06083239129955084,"score_gpt":0.2240483420178233,"score_spread":0.1632159507182724,"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."}}