{"id":"W3125909450","doi":"","title":"Dirty Money: Is there a Wage Premium for Working in a Pollution Intensive Industry","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wage; Compensating differential; Economics; Quarter (Canadian coin); Labour economics; Value (mathematics); Risk premium; Work (physics); Differential (mechanical device); Efficiency wage; Wage share; Monetary economics; Engineering; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001234028,0.000221657,0.0007874888,0.0007452797,0.0003618904,0.001319266,0.0007372023,0.001195784,0.01394945],"category_scores_gemma":[0.007345385,0.0001309981,0.0008178006,0.0006339514,0.001004965,0.0009951731,0.0007536982,0.001247188,0.0006174571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00042941,"about_ca_system_score_gemma":0.0003928864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006783459,"about_ca_topic_score_gemma":0.004884397,"domain_scores_codex":[0.9994125,0.0000879259,0.0000267607,0.0001516971,0.0001259389,0.0001951365],"domain_scores_gemma":[0.9896724,0.004283873,0.003738927,0.0005048207,0.0004130902,0.001386906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001473214,0.0006056693,0.8862987,0.000291107,0.0003668084,0.001486158,0.001450915,0.004914883,0.005864675,0.03972752,0.003762586,0.05375778],"study_design_scores_gemma":[0.0001337913,0.0003877092,0.9470592,0.00008227446,0.0002511943,0.0004657258,0.001711346,0.00917058,0.0008637849,0.03742917,0.002396388,0.00004887238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887663,0.0006405258,0.00274445,0.002203825,0.00005236534,0.0000137988,0.0002450003,0.00002028475,0.005313611],"genre_scores_gemma":[0.9980593,0.0001213565,0.0001556865,0.000135892,0.00007490697,0.000002528513,0.00009027614,0.000003675226,0.00135632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01394945,"threshold_uncertainty_score":0.04666555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06916864422389689,"score_gpt":0.2987633391702915,"score_spread":0.2295946949463946,"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."}}