{"id":"W2178640890","doi":"10.3386/w21709","title":"Discretion in Hiring","year":2015,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Discretion; Economics; Law; Political 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":[0.007277401,0.0002331494,0.0005143851,0.001116218,0.001188868,0.003077446,0.0007610698,0.001102428,0.01348288],"category_scores_gemma":[0.0533669,0.0003282236,0.0003796038,0.0008571976,0.001325854,0.00155257,0.001638635,0.001257653,0.002089204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001482496,"about_ca_system_score_gemma":0.001344126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003911703,"about_ca_topic_score_gemma":0.006224922,"domain_scores_codex":[0.9920569,0.003089538,0.0006083781,0.001093287,0.001783613,0.001368261],"domain_scores_gemma":[0.9376343,0.0380367,0.01059199,0.007913341,0.002677211,0.003146485],"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":[0.001444631,0.001112635,0.4068198,0.0004687937,0.0002285046,0.001363172,0.00951724,0.01631541,0.01196298,0.09399679,0.01106199,0.445708],"study_design_scores_gemma":[0.0002218623,0.0007111971,0.7410757,0.0002777287,0.0001104309,0.001232014,0.006029167,0.01856233,0.004617911,0.1653296,0.0616458,0.0001862034],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8136788,0.00155999,0.0270597,0.002980046,0.0001245656,0.0001543517,0.0003395411,0.0001987064,0.1539043],"genre_scores_gemma":[0.9905585,0.0001400395,0.001726354,0.0002047583,0.00004468962,0.00002257002,0.00006880005,0.00002268577,0.007211725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01348288,"threshold_uncertainty_score":0.04510468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8377216084690523,"score_gpt":0.6869736615643571,"score_spread":0.1507479469046952,"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."}}