{"id":"W4388516440","doi":"10.2139/ssrn.4628638","title":"Gender Differences in Reservation Wages in Search Experiments","year":2023,"lang":"en","type":"preprint","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; Labour economics; Economics; Psychology; Demographic economics; Computer science; Computer network","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009448337,0.0001688863,0.0002807169,0.001075358,0.0004195863,0.0004507755,0.000929538,0.0003015961,0.0001289872],"category_scores_gemma":[0.0006877225,0.0001696816,0.0001055241,0.0006698936,0.0001747538,0.0003153545,0.0003996269,0.00430109,0.00004786539],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003513624,"about_ca_system_score_gemma":0.00862834,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0310113,"about_ca_topic_score_gemma":0.2111706,"domain_scores_codex":[0.9938551,0.001165033,0.0004716477,0.000400238,0.00157902,0.002528957],"domain_scores_gemma":[0.999172,0.0001601196,0.0001405846,0.000191309,0.0002171662,0.0001187655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000573062,0.0002784093,0.8082297,0.00007713904,0.00007588471,0.00003591982,0.02274592,0.0001236094,0.00006641903,0.16272,0.0003935544,0.005196073],"study_design_scores_gemma":[0.0005136529,0.00004613323,0.2770484,0.0001014566,0.000006885038,0.000001713461,0.06577384,0.0001412465,0.00002099591,0.655994,0.0001200531,0.0002315795],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871008,0.002739006,0.0002938671,0.00376437,0.0006078157,0.0004483768,0.000003560825,0.00003994977,0.00500229],"genre_scores_gemma":[0.9608418,0.02836834,0.00002242094,0.00001989488,0.0003809655,0.00005182649,0.00001363727,0.00002139224,0.01027969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5311813,"threshold_uncertainty_score":0.997996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2030260741902555,"score_gpt":0.439136812508902,"score_spread":0.2361107383186466,"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."}}