{"id":"W1487664645","doi":"10.1177/0891243215584761","title":"Gay Pay for Straight Work","year":2015,"lang":"en","type":"article","venue":"Gender & Society","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Earnings; Occupational segregation; Demographic economics; Wage; Public sector; Psychology; Labour economics; Gender studies; Sociology; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007603955,0.0002556649,0.0003226284,0.001261965,0.002706594,0.002007942,0.0003796974,0.0007370074,0.1126157],"category_scores_gemma":[0.003250125,0.0001458944,0.0002832389,0.0008559896,0.0003845664,0.0005971148,0.001857783,0.001087897,0.01022572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008395351,"about_ca_system_score_gemma":0.001834215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01120851,"about_ca_topic_score_gemma":0.03926264,"domain_scores_codex":[0.9991927,0.0001403608,0.00002221943,0.0000427244,0.0002478205,0.0003540915],"domain_scores_gemma":[0.9979267,0.0002439218,0.0002578491,0.0001614877,0.0002153259,0.001194747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003153134,0.00143917,0.4639516,0.000236393,0.00007960398,0.001168957,0.006999398,0.0002902893,0.001084832,0.08737745,0.1190791,0.3179778],"study_design_scores_gemma":[0.00009514951,0.0003781029,0.6191581,0.0004787556,0.00005025171,0.001683153,0.02443846,0.0005881019,0.0004573039,0.01572726,0.3369092,0.00003613783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4882158,0.001802442,0.0007695779,0.01131286,0.0009528447,0.0001190422,0.002359943,0.000116921,0.4943506],"genre_scores_gemma":[0.826517,0.0009055571,0.0004464975,0.001780535,0.000287829,0.00005126222,0.0008755343,0.00001919477,0.1691166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1126157,"threshold_uncertainty_score":0.3767369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.090603080160753,"score_gpt":0.3236893382089471,"score_spread":0.2330862580481941,"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."}}