{"id":"W1496584081","doi":"10.2139/ssrn.1016961","title":"Real Wage Chronologies","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Wage; Wage growth; Economics; Productivity; Efficiency wage; Real wages; Wage bargaining; Labour economics; Macroeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003044637,0.000349207,0.0002562228,0.008396978,0.001592708,0.002365659,0.00134795,0.0005427796,0.01491365],"category_scores_gemma":[0.01705943,0.0003135059,0.0004429319,0.01017472,0.0009095268,0.001269608,0.000745627,0.0009777001,0.002267256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007130035,"about_ca_system_score_gemma":0.006773651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4122575,"about_ca_topic_score_gemma":0.4372049,"domain_scores_codex":[0.9973163,0.0002389208,0.0001657348,0.0004872846,0.001514681,0.0002771155],"domain_scores_gemma":[0.992613,0.001186147,0.001157964,0.00129013,0.003406764,0.0003459603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003056929,0.0001300976,0.1686607,0.0005830255,0.0001413556,0.0003583875,0.00797655,0.03722024,0.002372058,0.3075332,0.07869464,0.396024],"study_design_scores_gemma":[0.00005575947,0.000127812,0.4666038,0.0003600895,0.00004498896,0.0004037202,0.003306481,0.02981891,0.002022093,0.05351611,0.4434704,0.0002698784],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4705904,0.00302959,0.1036074,0.002390995,0.0005404342,0.001776511,0.1951678,0.001863081,0.2210338],"genre_scores_gemma":[0.8242663,0.001417894,0.05589389,0.0002257889,0.00008695546,0.0008185574,0.07044515,0.0003706559,0.0464748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4122575,"threshold_uncertainty_score":0.8197157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767285623719872,"score_gpt":0.2282689208230004,"score_spread":0.2105960645858017,"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."}}