{"id":"W2616314338","doi":"10.5465/ambpp.2015.12707abstract","title":"\"The Gender Gap Reversed: Gender, Risk Aversion, and CEO Severance Pay Contracts\"","year":2015,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Severance; Executive compensation; Risk aversion (psychology); Compensation (psychology); Perspective (graphical); Business; Labour economics; Economics; Incentive; Microeconomics; Psychology; Social psychology; Financial economics; Expected utility hypothesis","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":[0.001137239,0.0002529967,0.0002500032,0.0001143129,0.000317838,0.000196353,0.000469445,0.0001094993,0.00001672814],"category_scores_gemma":[0.0001140687,0.0001828773,0.00006609657,0.0004763547,0.0001482656,0.001812607,0.0003364094,0.000315345,0.000116941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000039915,"about_ca_system_score_gemma":0.000009956341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008855276,"about_ca_topic_score_gemma":0.000001927591,"domain_scores_codex":[0.9981426,0.000005198657,0.0003992426,0.0004513559,0.0005809616,0.0004206437],"domain_scores_gemma":[0.9988326,0.00002693475,0.0008203315,0.0001100551,0.0001737916,0.00003626051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003851239,0.00008925248,0.2439195,0.000836824,0.0002125231,0.000009866058,0.000289488,0.00003747367,0.00008070214,0.1343156,0.5862817,0.03354204],"study_design_scores_gemma":[0.001424596,0.000009533076,0.2885401,0.00005956065,0.000126033,0.000002120824,0.0006667245,0.0005105778,0.00004057139,0.02366275,0.6846888,0.0002686436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8776355,0.002110476,0.000448425,0.007997492,0.0006314324,0.001430095,0.00001266499,0.0002507115,0.1094832],"genre_scores_gemma":[0.9904114,0.002298019,0.0003040936,0.002925685,0.0004818432,0.00002949463,0.000002176009,0.00002979778,0.003517507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1127759,"threshold_uncertainty_score":0.745752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04619367974247543,"score_gpt":0.2359010894014664,"score_spread":0.189707409658991,"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."}}