{"id":"W2915115375","doi":"10.1111/soc4.12667","title":"Sexual orientation at work: Documenting and understanding wage inequality","year":2019,"lang":"en","type":"article","venue":"Sociology Compass","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Alberta","funders":"","keywords":"Sexual orientation; Sociology; Valuation (finance); Human sexuality; Inequality; Wage; Wage inequality; Industrial sociology; Work (physics); Positive economics; Gender studies; Labour economics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00145606,0.00007377906,0.0001534788,0.00003045233,0.0006569559,0.00003258082,0.0001096862,0.0001418105,0.0004151138],"category_scores_gemma":[0.0000619846,0.00007893414,0.00002836243,0.00009323867,0.0004430855,0.0001883877,0.0001423149,0.0001375927,0.0001247368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003674364,"about_ca_system_score_gemma":0.00003866537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006224414,"about_ca_topic_score_gemma":0.000311869,"domain_scores_codex":[0.9985608,0.0005934719,0.0001391232,0.0002456315,0.0001616502,0.0002993408],"domain_scores_gemma":[0.9994175,0.0002819691,0.00009792293,0.0001028406,0.0000303307,0.00006939679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001704299,0.00001254305,0.7906393,0.00001001125,0.00002252827,7.779726e-7,0.07285622,0.000004105001,0.00007610238,0.1352494,0.001014546,0.00009737336],"study_design_scores_gemma":[0.001364492,0.00009117935,0.5183026,0.00001352917,0.00004220739,7.054805e-7,0.417316,0.00004530745,0.00002968793,0.05320097,0.009183848,0.0004094175],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977407,0.00004461494,0.0006219137,0.00170077,0.0004849613,0.0001479667,0.000004057621,0.00005695762,0.01953173],"genre_scores_gemma":[0.9979075,0.000009411861,0.00007329766,0.0002850927,0.00007092958,0.000001621155,0.0000170602,0.000003203915,0.001631884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3444598,"threshold_uncertainty_score":0.505284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1755401447268164,"score_gpt":0.3441614381852682,"score_spread":0.1686212934584517,"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."}}