{"id":"W1534765361","doi":"10.1787/023874261242","title":"National Versus Regional Financing and Management of Unemployment and Related Benefits","year":2003,"lang":"en","type":"report","venue":"OECD social employment and migration working papers","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Business; Finance; 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":[0.001725683,0.000125181,0.0002089299,0.001260737,0.001990744,0.003217995,0.0006974064,0.0006471771,0.008050686],"category_scores_gemma":[0.003237198,0.0001873859,0.000260966,0.001656161,0.001271262,0.0009056407,0.00220106,0.0005267393,0.0005258918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01657703,"about_ca_system_score_gemma":0.03654368,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.530234,"about_ca_topic_score_gemma":0.7583079,"domain_scores_codex":[0.9979603,0.0003675799,0.00006495138,0.0001213829,0.0003583877,0.001127325],"domain_scores_gemma":[0.9987871,0.0001166798,0.0001705959,0.0001000524,0.0004160132,0.000409592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001441623,0.000140365,0.08845414,0.0004112416,0.00007929513,0.0002885773,0.007503497,0.00628535,0.001178807,0.5269246,0.04009268,0.3284973],"study_design_scores_gemma":[0.00006147068,0.0001407074,0.4559887,0.0009256352,0.0001469869,0.0004561089,0.01158477,0.004269922,0.0007862239,0.03150624,0.4940723,0.00006100727],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.277114,0.01177126,0.003803963,0.02116854,0.0001234873,0.0002168141,0.001464298,0.0001417822,0.6841959],"genre_scores_gemma":[0.9519313,0.002944682,0.002389844,0.0005827054,0.00005453291,0.00006436789,0.0003561355,0.00002088213,0.04165556],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.530234,"threshold_uncertainty_score":0.945065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08726377873127045,"score_gpt":0.3353954689451649,"score_spread":0.2481316902138945,"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."}}