{"id":"W3093923047","doi":"","title":"Retracted: Education and gender wage gap: Evidence from Indonesia","year":2021,"lang":"en","type":"article","venue":"Accounting","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":true,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Wage; Gender gap; Labour economics; Political science; Economics; Demographic economics; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001504319,0.0001851216,0.0003984871,0.001224716,0.001013152,0.002150227,0.0007836863,0.0007921646,0.00920235],"category_scores_gemma":[0.006741713,0.0001342349,0.000243331,0.002243901,0.0008276038,0.001950597,0.00133825,0.001784519,0.001148554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006307993,"about_ca_system_score_gemma":0.001403096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03051983,"about_ca_topic_score_gemma":0.03093226,"domain_scores_codex":[0.9993348,0.0001573728,0.00007759768,0.00009059942,0.0001452544,0.0001944921],"domain_scores_gemma":[0.9914135,0.002931465,0.003060697,0.000380317,0.001063252,0.001150899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000317137,0.0004074872,0.9359235,0.0002006604,0.00006580736,0.0008832643,0.006863458,0.0002002152,0.0002273109,0.00394417,0.006063713,0.04490316],"study_design_scores_gemma":[0.000008740006,0.00006734731,0.9782032,0.0001079638,0.00005152163,0.0001554816,0.01339382,0.0001642574,0.0002351627,0.001185036,0.006418153,0.000009395895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773464,0.00230474,0.0001134318,0.006652254,0.0001354218,0.00000792651,0.001137457,0.000007603805,0.0122948],"genre_scores_gemma":[0.9929773,0.0009531153,0.00004067432,0.0005825936,0.0001145073,0.000005218197,0.0004524556,0.000005096185,0.004868991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9992079,"threshold_uncertainty_score":0.06068438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05707635391725666,"score_gpt":0.2646964496313063,"score_spread":0.2076200957140497,"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."}}