{"id":"W3123105180","doi":"","title":"Having it Easy: Consumer Discrimination and Specialization in the Workplace","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Trait; Quality (philosophy); Earnings; Preference; Service (business); Business; Marketing; Purchasing; Scale (ratio); Tertiary sector of the economy; Inequality; Sorting; Field (mathematics); Economics; Microeconomics; Computer science","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":[0.001069077,0.0001423713,0.0003135065,0.0004591105,0.0006926024,0.001128853,0.00025899,0.0007655848,0.00602762],"category_scores_gemma":[0.004575626,0.0001057223,0.0002751726,0.0008332165,0.001611255,0.0007851461,0.0009155357,0.000628388,0.0002562001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006951086,"about_ca_system_score_gemma":0.0002984551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005061352,"about_ca_topic_score_gemma":0.005833497,"domain_scores_codex":[0.9994255,0.0001737554,0.00002372173,0.0001080187,0.0001468963,0.0001220574],"domain_scores_gemma":[0.9957086,0.001544612,0.001647856,0.0004706763,0.0001781483,0.0004500141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004689679,0.0004011985,0.9357961,0.0000714658,0.00005722255,0.0004190152,0.006183222,0.0007962409,0.003335608,0.01112481,0.0009773134,0.0403688],"study_design_scores_gemma":[0.00001659991,0.00008385091,0.9882618,0.00001372287,0.00001469934,0.0001048187,0.003071588,0.0007425096,0.0003270855,0.006495782,0.0008558117,0.0000118227],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957752,0.0001639576,0.0004617496,0.0004199432,0.000005113065,0.000003349187,0.00004050529,0.000003252344,0.003126975],"genre_scores_gemma":[0.9993175,0.00004374213,0.0001014536,0.00005890712,0.000009169949,0.000001689228,0.00002244142,0.000001379713,0.000443713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00602762,"threshold_uncertainty_score":0.02016437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07130549670220583,"score_gpt":0.3870345981372097,"score_spread":0.3157291014350039,"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."}}