{"id":"W3124718165","doi":"10.3386/w18719","title":"Mismatch, Sorting and Wage Dynamics","year":2013,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Economic and Social Research Council; Yale University","keywords":"Economics; Matching (statistics); Unemployment; Wage; Productivity; Welfare; Sorting; Labour economics; Production (economics); Econometrics; Microeconomics; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00224121,0.0003244594,0.001059825,0.001034503,0.0006884506,0.00245831,0.001552972,0.002517256,0.0163407],"category_scores_gemma":[0.0154504,0.0004021957,0.0007028633,0.001590347,0.001280763,0.003749196,0.001275538,0.001201261,0.001996889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001913665,"about_ca_system_score_gemma":0.001246101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006095462,"about_ca_topic_score_gemma":0.00302638,"domain_scores_codex":[0.9991065,0.0002333505,0.00005807795,0.0002207522,0.0001407805,0.000240505],"domain_scores_gemma":[0.9972757,0.001236414,0.0008078563,0.0003036911,0.0001648044,0.0002116183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001826033,0.0002074315,0.01583357,0.0000815306,0.00004310006,0.0002460889,0.0006365128,0.1767958,0.001084795,0.7690852,0.0033362,0.03246709],"study_design_scores_gemma":[0.000070929,0.00007504151,0.006593317,0.0000309273,0.000018583,0.0001397988,0.0003146044,0.5027049,0.000363474,0.4857694,0.003882341,0.00003671772],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6359512,0.0006146331,0.3176452,0.005809484,0.00008989104,0.0001833284,0.001034491,0.0003281263,0.03834364],"genre_scores_gemma":[0.974551,0.0002230252,0.00914757,0.0002237186,0.00003998488,0.0000682402,0.0001661608,0.00003012575,0.01555028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0163407,"threshold_uncertainty_score":0.05466509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2409759137053102,"score_gpt":0.4300509924788938,"score_spread":0.1890750787735836,"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."}}