{"id":"W2113424861","doi":"10.1111/1468-2354.t01-1-00039","title":"Unemployment and Growth in the Long Run: an Efficiency‐Wage Model With Optimal Savings*","year":2002,"lang":"en","type":"article","venue":"International Economic Review","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Economics; Unemployment; Efficiency wage; Endogenous growth theory; Wage growth; Growth model; Wage; Productivity; Unemployment rate; Labour economics; Wage rate; Growth rate; Macroeconomics; Human capital","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":[],"consensus_categories":[],"category_scores_codex":[0.0009740104,0.0001697317,0.00036429,0.0001181211,0.0000578282,0.0001067484,0.000474684,0.0000391729,0.0005572047],"category_scores_gemma":[0.00004197834,0.000146533,0.00006404378,0.00005930334,0.00007427115,0.0005485763,0.00005414445,0.0001550467,0.0003310822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001536577,"about_ca_system_score_gemma":0.00001325277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001431955,"about_ca_topic_score_gemma":0.00006484565,"domain_scores_codex":[0.9986289,0.00002532142,0.0005916426,0.0005128405,0.00002972295,0.0002116278],"domain_scores_gemma":[0.9992973,0.00004916395,0.0002819378,0.0002955841,0.0000146905,0.00006133466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004176874,0.0005704721,0.2921811,0.0004870654,0.0001620782,0.00002608476,0.001546213,0.01009665,0.000002143135,0.6742054,0.003934607,0.0167464],"study_design_scores_gemma":[0.002776533,0.0004545277,0.07466831,0.0009386843,0.00005058854,0.0003480224,0.00008442859,0.8425009,0.00003048868,0.02641652,0.05005542,0.001675547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8901675,0.04240344,0.001342728,0.01383044,0.0003397183,0.0007446343,0.0001278836,0.00002969343,0.05101392],"genre_scores_gemma":[0.9806393,0.01647577,0.0004461095,0.001830406,0.0001054113,0.00006822543,0.0000148922,0.00001755304,0.0004022705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8324043,"threshold_uncertainty_score":0.6101001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04473920427283206,"score_gpt":0.2441645788558522,"score_spread":0.1994253745830202,"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."}}