{"id":"W2904817056","doi":"10.3386/w25365","title":"Gender-Targeted Job Ads in the Recruitment Process: Evidence from China","year":2018,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Callback; Wage; Enforcement; Psychology; Demographic economics; China; Compliance (psychology); Business; Labour economics; Social psychology; Economics; Political science; 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":[0.00577124,0.0003118187,0.0003897918,0.001883867,0.002006249,0.001153129,0.0009149314,0.0006081136,0.003097333],"category_scores_gemma":[0.008313616,0.0003064972,0.000408466,0.002959395,0.00191014,0.0007498586,0.001681186,0.0006003905,0.0003428482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002856215,"about_ca_system_score_gemma":0.005318644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1364167,"about_ca_topic_score_gemma":0.2331728,"domain_scores_codex":[0.9964738,0.001126469,0.0002310282,0.0004838883,0.0009628334,0.0007219526],"domain_scores_gemma":[0.9870304,0.002808342,0.006271496,0.000885786,0.001549884,0.001454049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001479178,0.0001475477,0.9743561,0.00009286151,0.00005152286,0.000245781,0.006085725,0.0001347509,0.0004288904,0.0007424884,0.0007963387,0.01677006],"study_design_scores_gemma":[0.00001121255,0.00005582148,0.995815,0.00002518347,0.00002524688,0.00004180286,0.002122223,0.0003327595,0.0002159463,0.0001035892,0.001240952,0.00001031013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976955,0.0002451697,0.00009182719,0.0002119312,0.000007795172,0.00001886474,0.000104168,0.00000391429,0.001620774],"genre_scores_gemma":[0.9985914,0.000165017,0.00007447536,0.0001219899,0.000008605139,0.00001487206,0.0001118734,0.00000216804,0.0009097611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1364167,"threshold_uncertainty_score":0.2712454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6475322695685176,"score_gpt":0.5984214802030032,"score_spread":0.04911078936551438,"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."}}