{"id":"W3200571739","doi":"10.1002/soej.12534","title":"Macroeconomic shocks and racial labor market differences","year":2021,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Economics; Business cycle; Recession; Vector autoregression; Structural vector autoregression; Supply shock; Inequality; Monetary economics; Monetary policy; Labour economics; Macroeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004714723,0.000152399,0.0003219188,0.00005302899,0.001022616,0.00005387916,0.0001190193,0.0001012366,0.01221009],"category_scores_gemma":[0.00004506838,0.0001306281,0.00007726017,0.00001992137,0.000076706,0.0001112966,0.0001523101,0.0004920391,0.0008309731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001426864,"about_ca_system_score_gemma":0.0003856166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007216401,"about_ca_topic_score_gemma":0.001466118,"domain_scores_codex":[0.9985925,0.0002466546,0.0004863606,0.0002146879,0.00004560623,0.0004142223],"domain_scores_gemma":[0.9992334,0.0001984583,0.0002473257,0.0001262556,0.00005056278,0.0001440579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005318275,0.00001160573,0.9761134,0.00001905499,0.0001360088,0.00001870039,0.008275068,6.35853e-7,0.00002270006,0.0007019921,0.010725,0.003922596],"study_design_scores_gemma":[0.003142439,0.00007305541,0.7952563,0.0001624658,0.00009190171,0.000116031,0.06535579,0.00009016827,0.00001803402,0.02357836,0.1116059,0.0005095869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703887,0.001175995,0.00001253359,0.006421055,0.001716138,0.0001039399,0.000132795,0.00002850786,0.0200204],"genre_scores_gemma":[0.9605941,0.0009534431,0.00007715283,0.0009570954,0.001844987,0.00001493417,0.00000397873,0.00003110097,0.03552328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1808572,"threshold_uncertainty_score":0.999947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02807333511517618,"score_gpt":0.3367725279005029,"score_spread":0.3086991927853268,"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."}}