{"id":"W4386325880","doi":"10.1257/aeri.20220006","title":"The Unequal Consequences of Job Loss across Countries","year":2023,"lang":"en","type":"article","venue":"American Economic Review Insights","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Institutet för arbetsmarknads- och utbildningspolitisk politisk utvärdering; Ministerio de Ciencia e Innovación; Danmarks Grundforskningsfond; Universidad Carlos III de Madrid; National Research Foundation; Deutsche Forschungsgemeinschaft; Comunidad de Madrid","keywords":"Job loss; Demographic economics; Economics; Unemployment; 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":[0.008753465,0.000218986,0.0007689521,0.002676021,0.001070271,0.002569378,0.0006293841,0.0005345795,0.002092645],"category_scores_gemma":[0.02160308,0.000229675,0.0008342922,0.004088407,0.001182311,0.001227834,0.004801356,0.000675742,0.0003279965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006819919,"about_ca_system_score_gemma":0.0006331846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0128398,"about_ca_topic_score_gemma":0.008512964,"domain_scores_codex":[0.9890795,0.006151615,0.0009869894,0.001615011,0.001137519,0.001029215],"domain_scores_gemma":[0.9845155,0.005959532,0.00506213,0.002155312,0.00184499,0.0004625632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008433787,0.0001038041,0.9571392,0.0003654603,0.001743875,0.0003051331,0.002746329,0.003351098,0.0004345051,0.003605086,0.003000762,0.02636144],"study_design_scores_gemma":[0.00004390765,0.0002014176,0.9860371,0.0002313717,0.0002639657,0.000153737,0.005649132,0.0007194676,0.0002591628,0.001692471,0.004723708,0.00002470119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858029,0.002830307,0.001507618,0.0006694871,0.00005028442,0.00008845109,0.004425753,0.00001160519,0.004613487],"genre_scores_gemma":[0.9956819,0.0005533852,0.0003995627,0.0002174843,0.00001744523,0.00007472653,0.002652983,0.000006517095,0.0003959625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0128398,"threshold_uncertainty_score":0.04629332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06258817396443284,"score_gpt":0.435020977795676,"score_spread":0.3724328038312432,"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."}}