{"id":"W4318698920","doi":"10.1038/s41562-023-01523-x","title":"Author Correction: Within-job gender pay inequality in 15 countries","year":2023,"lang":"en","type":"erratum","venue":"Nature Human Behaviour","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"Javna Agencija za Raziskovalno Dejavnost RS","keywords":"Inequality; Psychology; Demographic economics; Gender inequality; Sociology; Labour economics; Economics; Mathematics","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":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.002557711,0.0006253197,0.0008231266,0.000551149,0.00129829,0.0003907637,0.0009919736,0.005138961,0.0003934962],"category_scores_gemma":[0.0004772151,0.0005696926,0.0002718706,0.001203123,0.0004742985,0.0002476799,0.0001775939,0.007709734,0.0001466164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009824932,"about_ca_system_score_gemma":0.001695575,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008764976,"about_ca_topic_score_gemma":0.1506376,"domain_scores_codex":[0.994654,0.00066792,0.0008422761,0.001038966,0.001829448,0.0009673816],"domain_scores_gemma":[0.9977486,0.0001406017,0.0005151053,0.0007127255,0.0006069897,0.0002759745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000008852128,0.00007676183,0.1967609,0.00006828099,0.0000304136,0.00009838583,0.02407473,0.000007823173,0.000001343274,0.007979977,0.7708646,0.00002792356],"study_design_scores_gemma":[0.0003516923,0.00004541083,0.6813325,0.0001696891,0.0001450984,0.000003243361,0.01834214,0.00001876029,8.204341e-7,0.003065701,0.2956343,0.0008905807],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.2028846,0.004130123,0.0000586636,0.002469949,0.6378394,0.002518354,0.001274356,0.002212556,0.146612],"genre_scores_gemma":[0.2381926,0.0003145184,0.00004566709,0.0006558085,0.005569263,0.00008468466,0.001141925,0.00014674,0.7538489],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6322701,"threshold_uncertainty_score":0.9996755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04587240705349428,"score_gpt":0.3548395890034942,"score_spread":0.3089671819499999,"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."}}