{"id":"W4312924045","doi":"10.2139/ssrn.4297424","title":"Anticipated Gender Discrimination and Grade Disclosure","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Grading (engineering); Incentive; Masking (illustration); Statistical discrimination; Transparency (behavior); Gender discrimination; Gender gap; Psychology; Gender bias; Accounting; Social psychology; Demographic economics; Economics; Political science; Law; Microeconomics","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":[0.002728497,0.0002183262,0.0003417973,0.0008201501,0.001519078,0.003100877,0.0005407468,0.001326433,0.007766223],"category_scores_gemma":[0.02822092,0.0002101635,0.0004964936,0.0006480684,0.0007175178,0.000916139,0.001599156,0.002345932,0.0008489192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008368116,"about_ca_system_score_gemma":0.001231209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006012549,"about_ca_topic_score_gemma":0.01101816,"domain_scores_codex":[0.9977937,0.00075419,0.0002084894,0.0001556536,0.0004444288,0.0006436377],"domain_scores_gemma":[0.9767417,0.007647684,0.009763131,0.0009424785,0.001447895,0.003457235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003468237,0.0006895661,0.9892974,0.00001784176,0.00003120178,0.0002012489,0.002627788,0.0001012473,0.0001685628,0.0007064806,0.0002988436,0.005512921],"study_design_scores_gemma":[0.00002052905,0.0004557674,0.9876235,0.00005318811,0.00004451146,0.0003700211,0.008386239,0.0003960032,0.0005079163,0.0008699739,0.001248668,0.00002375808],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956537,0.0001410868,0.00005487044,0.0004373525,0.0000261851,0.00001483178,0.0001233962,0.000003042582,0.003545472],"genre_scores_gemma":[0.9987227,0.00005715121,0.00002763159,0.00004592711,0.00001152861,0.00000638493,0.00005569935,0.000001182851,0.001071777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007766223,"threshold_uncertainty_score":0.02598059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02468170416129879,"score_gpt":0.2897217005298787,"score_spread":0.2650399963685799,"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."}}