{"id":"W2903546586","doi":"10.1162/rest_a_00875","title":"Job Polarization and Jobless Recoveries","year":2019,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":341,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Recession; Economics; Job loss; Labour economics; Polarization (electrochemistry); Unemployment; Demographic economics; Keynesian economics; Macroeconomics; Chemistry","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":[0.0009473112,0.0002255615,0.000316224,0.001754359,0.0009718793,0.001156427,0.0003842611,0.0006695731,0.004875952],"category_scores_gemma":[0.004727041,0.0001107057,0.0002730929,0.002188374,0.001867087,0.001353446,0.001821685,0.001308066,0.0006813178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006828949,"about_ca_system_score_gemma":0.0004275316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003601292,"about_ca_topic_score_gemma":0.002950053,"domain_scores_codex":[0.9990729,0.0002383642,0.00006507702,0.0001330903,0.0002078483,0.0002828006],"domain_scores_gemma":[0.9970723,0.000632209,0.001420424,0.0001301286,0.0002532687,0.0004916606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006519878,0.0004587101,0.5767796,0.00120327,0.0003199727,0.001324493,0.006717606,0.003346904,0.001086242,0.1555873,0.03867416,0.2138497],"study_design_scores_gemma":[0.00001770253,0.0001458536,0.831082,0.001055692,0.00008239713,0.001470824,0.006599838,0.002161891,0.0003820014,0.1064617,0.05047637,0.00006369063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8283976,0.08354152,0.008174302,0.02574237,0.001029204,0.0000699197,0.003335541,0.00004188704,0.04966771],"genre_scores_gemma":[0.9831007,0.01212371,0.0002626884,0.0007543435,0.0006024374,0.00001936371,0.000628021,0.000009502378,0.002499354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004875952,"threshold_uncertainty_score":0.01631171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776051741781363,"score_gpt":0.2227434047610594,"score_spread":0.2049828873432458,"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."}}