{"id":"W3122586313","doi":"","title":"Contingent, Temporary Unemployment Insurance’s Impacts on Employment and Unemployment Durations","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Rheinische Friedrich-Wilhelms-Universität Bonn","keywords":"Unemployment; Duration (music); Economics; Panel data; Labour economics; Demographic economics; Econometrics; 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":[0.001380407,0.000397549,0.000626598,0.0007892426,0.0008236784,0.001634585,0.001029031,0.0009619957,0.007129106],"category_scores_gemma":[0.006150701,0.0003066197,0.001068752,0.001099253,0.0007821077,0.0006980005,0.001432986,0.001231547,0.0004095027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006011771,"about_ca_system_score_gemma":0.004516498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.491461,"about_ca_topic_score_gemma":0.5646212,"domain_scores_codex":[0.9989323,0.0001942184,0.00003756363,0.0001055115,0.000200271,0.0005300951],"domain_scores_gemma":[0.9961204,0.001840645,0.0009375223,0.0001549134,0.0003674986,0.0005790335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002715953,0.0008591819,0.450383,0.0003823752,0.0007246946,0.0009855696,0.00129532,0.4309462,0.002495112,0.04652757,0.008141611,0.05454343],"study_design_scores_gemma":[0.000220126,0.0009352897,0.7382262,0.000190033,0.0007983638,0.0002897189,0.003118182,0.2293474,0.001544924,0.01213154,0.01304829,0.0001497403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829848,0.001261079,0.00173265,0.0009636001,0.00004224644,0.00004364127,0.003763872,0.00003761596,0.009170519],"genre_scores_gemma":[0.994456,0.0006356234,0.0002591798,0.00006596826,0.00001797524,0.00001308621,0.001154555,0.000006190751,0.003391411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.491461,"threshold_uncertainty_score":0.9772008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0948544485058673,"score_gpt":0.4307391900824303,"score_spread":0.335884741576563,"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."}}