{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005042093,0.0002308824,0.0006566256,0.0005410971,0.0004985147,0.001796572,0.0004372375,0.0008703239,0.01943325],"category_scores_gemma":[0.03052317,0.000281736,0.00021726,0.0004568537,0.0006991456,0.001408956,0.0007253333,0.0009659744,0.001725577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004736678,"about_ca_system_score_gemma":0.0004571292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001022627,"about_ca_topic_score_gemma":0.0016955,"domain_scores_codex":[0.9981041,0.001132317,0.0001374099,0.0001694666,0.000244268,0.0002123758],"domain_scores_gemma":[0.9755729,0.01805173,0.002087726,0.002289448,0.0005953549,0.001402839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1071021,0.03186645,0.451801,0.0007662001,0.0005796967,0.001118217,0.02421798,0.003693016,0.1660047,0.07015907,0.009083851,0.1336077],"study_design_scores_gemma":[0.002040652,0.008462208,0.9222327,0.00009480328,0.0002518945,0.0006572439,0.006200056,0.009116534,0.01584394,0.02883342,0.006109833,0.0001566519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950644,0.0001046573,0.0002609908,0.0001533474,0.00002397414,0.00001446148,0.00008595859,0.00001067191,0.00428147],"genre_scores_gemma":[0.9945305,0.00004790553,0.0001474188,0.00009948129,0.00001125115,0.00002290517,0.00007591284,0.00002295109,0.005041652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01943325,"threshold_uncertainty_score":0.06501073,"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."}}