{"id":"W2235322326","doi":"10.1111/ijet.12168","title":"A minimum‐wage model of unemployment and growth: The case of a backward‐bending demand curve for labor","year":2018,"lang":"en","type":"article","venue":"International Journal of Economic Theory","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Economics; Minimum wage; Unemployment; NAIRU; Labour economics; Growth model; Efficiency wage; Wage; Wage share; Wage growth; Unemployment rate; Microeconomics; 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":[],"consensus_categories":[],"category_scores_codex":[0.001884828,0.0001186186,0.0004045317,0.000214634,0.00005054241,0.00003542091,0.000389084,0.00005647726,0.0001431969],"category_scores_gemma":[0.0001511512,0.0001053382,0.0001918203,0.00002108884,0.0002551235,0.0002615387,0.00009482805,0.00007932673,0.000006424759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000105347,"about_ca_system_score_gemma":0.0000564038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005453718,"about_ca_topic_score_gemma":0.00003106648,"domain_scores_codex":[0.9985577,0.00002421799,0.001094235,0.0001677729,0.00001907655,0.0001369312],"domain_scores_gemma":[0.9977911,0.0004282176,0.00139463,0.0001559941,0.0001753817,0.00005464769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003861875,0.00003969988,0.001490931,0.00001460406,0.0003978164,0.000005019623,0.001417031,0.001257123,0.0001073409,0.9939432,0.000211911,0.0007291112],"study_design_scores_gemma":[0.001669973,0.0002449975,0.0001603819,0.00004673664,0.00003297215,0.0002605187,0.0006494079,0.03703075,0.001986533,0.9570476,0.0007235997,0.00014646],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972891,0.0008149608,0.02185823,0.0005891465,0.0009176854,0.0001413599,0.0007843931,0.000002571248,0.002000693],"genre_scores_gemma":[0.9975995,0.0002551887,0.001406104,0.0001315551,0.0003545255,0.00000534463,0.000001964132,0.00001894409,0.0002269011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03689556,"threshold_uncertainty_score":0.4295566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03653873449686171,"score_gpt":0.2716664466993611,"score_spread":0.2351277122024994,"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."}}