{"id":"W4312226208","doi":"10.1002/smj.3483","title":"Salary transparency and gender pay inequality: Evidence from Canadian universities","year":2022,"lang":"en","type":"article","venue":"Strategic Management Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Ewing Marion Kauffman Foundation","keywords":"Salary; Transparency (behavior); Scrutiny; Inequality; Business; Gender pay gap; Demographic economics; Public economics; Public relations; Accounting; Labour economics; Economics; Wage; Political science; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006268013,0.000297689,0.0006611894,0.003112976,0.007264525,0.003319882,0.001730751,0.0009056157,0.006065902],"category_scores_gemma":[0.03655935,0.0002668028,0.0006259645,0.008336342,0.003085586,0.001038671,0.002305927,0.001766217,0.000251845],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04658932,"about_ca_system_score_gemma":0.0800218,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9901804,"about_ca_topic_score_gemma":0.9919685,"domain_scores_codex":[0.9912249,0.001275845,0.0003159779,0.0006996364,0.004123359,0.002360279],"domain_scores_gemma":[0.9413071,0.01488193,0.01611411,0.002111689,0.01822088,0.007364401],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000334306,0.0002200364,0.9512404,0.0003238067,0.0001676505,0.0001497283,0.0103078,0.0004726169,0.0001587845,0.00472109,0.008421471,0.02348229],"study_design_scores_gemma":[0.0000243781,0.00003861609,0.985386,0.000258782,0.00008022025,0.00002082538,0.007956114,0.0003519912,0.0001492177,0.0003823812,0.00531518,0.00003625066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.94798,0.003210434,0.0003921436,0.009271171,0.00009252501,0.00008431748,0.003347779,0.00001331567,0.0356083],"genre_scores_gemma":[0.9972476,0.0006917883,0.00009050975,0.0004919724,0.00002091529,0.00001297443,0.0003681996,0.000004378847,0.001071577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.993732,"threshold_uncertainty_score":0.3380307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1301843844243236,"score_gpt":0.3379484828885812,"score_spread":0.2077640984642576,"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."}}