{"id":"W4388469387","doi":"10.2139/ssrn.4625454","title":"Gender Differences in Reservation Wages in Search Experiments","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Reservation; Economics; Labour economics; Demographic economics; Psychology; Political science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00587716,0.00006631915,0.0001076202,0.0006531631,0.0003824136,0.000168729,0.0003573982,0.00007061036,0.0001290393],"category_scores_gemma":[0.0003801007,0.00006321153,0.00003804674,0.00117768,0.0001015672,0.0004217638,0.00005700339,0.0009446912,0.00006571111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001126633,"about_ca_system_score_gemma":0.002288804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006322215,"about_ca_topic_score_gemma":0.06753214,"domain_scores_codex":[0.9963872,0.000534891,0.0002191546,0.0001610023,0.0008935786,0.001804158],"domain_scores_gemma":[0.9996137,0.000101923,0.00003970671,0.00007450556,0.0000950373,0.0000751102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002505569,0.0001001538,0.7890948,0.000008028057,0.0000133953,0.00001433699,0.01284716,0.00001475767,0.000277161,0.1909162,0.0002896301,0.00639928],"study_design_scores_gemma":[0.0006512854,0.00006095504,0.5824437,0.00001812435,0.000002110063,0.000002025872,0.1137037,0.0001590584,0.00006587274,0.3024409,0.0003306766,0.000121626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894634,0.0007033751,0.00006234408,0.002545303,0.0001279448,0.0001441833,5.135243e-7,0.00002381064,0.006929108],"genre_scores_gemma":[0.9840035,0.008713484,0.000006820463,0.00002162786,0.0001417613,0.00001386536,0.000002913678,0.000006974502,0.007089083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2066511,"threshold_uncertainty_score":0.9557341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1369332383681464,"score_gpt":0.4219568221796327,"score_spread":0.2850235838114862,"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."}}