{"id":"W4211236158","doi":"10.15185/izawol.48.v2","title":"Anonymous job applications and hiring discrimination","year":2018,"lang":"en","type":"article","venue":"IZA World of Labor","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Labour economics; Psychology; Computer science; Economics","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":[0.03074999,0.0002590053,0.0003971571,0.001059056,0.004164112,0.003139623,0.000909887,0.001884943,0.0111625],"category_scores_gemma":[0.08374854,0.0002271857,0.0003192551,0.0009922879,0.004864917,0.002150808,0.003923209,0.001996749,0.0009706842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009607002,"about_ca_system_score_gemma":0.003326095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002722971,"about_ca_topic_score_gemma":0.004972365,"domain_scores_codex":[0.9705099,0.02203517,0.0008159829,0.001164032,0.003871791,0.001603114],"domain_scores_gemma":[0.9365433,0.03697103,0.01444738,0.00604008,0.00273374,0.003264525],"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":[0.001116287,0.00218527,0.2001913,0.0009492044,0.0001235326,0.0006072712,0.02490534,0.0006358709,0.002297882,0.2444994,0.01946956,0.5030192],"study_design_scores_gemma":[0.0003174153,0.003374831,0.4968146,0.003585894,0.0002694149,0.00265106,0.03881679,0.003741422,0.007510853,0.242147,0.2004286,0.0003421707],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7196552,0.006744255,0.03577305,0.02674085,0.001468258,0.0004528705,0.0002179712,0.0001038502,0.2088437],"genre_scores_gemma":[0.9778046,0.001239542,0.004099582,0.003461443,0.0002235409,0.0001816569,0.00004393252,0.00001623085,0.01292944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03074999,"threshold_uncertainty_score":0.1626235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03476831325595098,"score_gpt":0.3781038048093941,"score_spread":0.3433354915534431,"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."}}