{"id":"W3153324632","doi":"10.2139/ssrn.3686366","title":"Labor Market Benefit of Disaggregated Disclosure","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Economics","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":[0.00259279,0.0003185591,0.001031395,0.0007276929,0.0004488454,0.001843469,0.0005074259,0.001494648,0.01530564],"category_scores_gemma":[0.01179488,0.0002679594,0.0004019979,0.0008991919,0.0005578729,0.001154935,0.001112811,0.00112496,0.001195506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005560449,"about_ca_system_score_gemma":0.001073706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002133591,"about_ca_topic_score_gemma":0.002884253,"domain_scores_codex":[0.998989,0.0003642122,0.00006099182,0.0001520904,0.0001443334,0.0002893406],"domain_scores_gemma":[0.9868722,0.007707887,0.002258386,0.002019777,0.0004317647,0.0007099477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02372672,0.003834286,0.1981196,0.0007528386,0.001175486,0.002895748,0.002452272,0.08933958,0.01357037,0.1167504,0.04270094,0.5046818],"study_design_scores_gemma":[0.002487805,0.004123872,0.5502067,0.0003094798,0.001096714,0.001944601,0.002994494,0.1161015,0.005635628,0.2781723,0.03674177,0.0001853112],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9373739,0.00384323,0.005648803,0.01179302,0.0002977729,0.00006590061,0.004258127,0.0004982888,0.03622083],"genre_scores_gemma":[0.9942331,0.0002918592,0.0003811697,0.0004188568,0.0002695943,0.000006453264,0.0003377699,0.000007822627,0.004053293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01530564,"threshold_uncertainty_score":0.05120248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007841359143199274,"score_gpt":0.1870886098728049,"score_spread":0.1792472507296057,"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."}}