{"id":"W3139674829","doi":"10.3386/w25124","title":"Fatal Attraction? Extended Unemployment Benefits, Labor Force Exits, and Mortality","year":2018,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Attraction; Unemployment; Economics; Labour economics; Demographic economics; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002157968,0.000256302,0.0005393059,0.0006189953,0.0004189456,0.0009110108,0.0005514315,0.00107024,0.00788952],"category_scores_gemma":[0.00938792,0.0002148562,0.0008566575,0.0003631978,0.0006386337,0.0005337201,0.001408282,0.001243106,0.0005964274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004494532,"about_ca_system_score_gemma":0.0005497031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009053201,"about_ca_topic_score_gemma":0.00998415,"domain_scores_codex":[0.9992562,0.0002937108,0.00003868409,0.0001155041,0.00006423882,0.0002315953],"domain_scores_gemma":[0.9935744,0.002908607,0.002367122,0.0002695339,0.0001381152,0.0007422685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007054649,0.0002789155,0.9718317,0.00008202785,0.0002396356,0.0002455529,0.0002280393,0.005554624,0.0001918769,0.004728505,0.001659417,0.01425426],"study_design_scores_gemma":[0.0001631074,0.0007212416,0.9487404,0.0002041443,0.0004307272,0.0002799483,0.001155708,0.03148357,0.0006810895,0.01186475,0.004224712,0.00005057535],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936076,0.001012902,0.00182738,0.0009557558,0.00003549634,0.00002129755,0.0007226563,0.00002378246,0.001793075],"genre_scores_gemma":[0.9972715,0.0002078428,0.0002406618,0.00005798079,0.00004166083,0.00001365184,0.0003496491,0.000003135659,0.001814002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009053201,"threshold_uncertainty_score":0.02639306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6113624241103576,"score_gpt":0.5912798775804834,"score_spread":0.02008254652987418,"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."}}