{"id":"W2618156205","doi":"","title":"The Commute to Work and the Gender Wage Differential: International Analysis","year":2013,"lang":"en","type":"book-chapter","venue":"eSpace (Curtin University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Differential (mechanical device); Wage; Work (physics); Labour economics; Economics; Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004929526,0.000226923,0.0003171294,0.00275819,0.0006814399,0.001136234,0.0003287127,0.0001689217,0.005574567],"category_scores_gemma":[0.00121066,0.000079025,0.0003141635,0.009546545,0.0007570108,0.0006245762,0.0007396928,0.0004841252,0.0003202528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002712068,"about_ca_system_score_gemma":0.001829378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4969403,"about_ca_topic_score_gemma":0.6000141,"domain_scores_codex":[0.9996501,0.00003364881,0.00001080615,0.00004880908,0.0001326091,0.0001239877],"domain_scores_gemma":[0.9994612,0.0001491889,0.0001170418,0.00002687546,0.0001729646,0.00007268717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000211995,0.00009937058,0.5959158,0.0003098452,0.0001610534,0.0005893976,0.009964077,0.003020717,0.0004844446,0.09676363,0.02965608,0.2628236],"study_design_scores_gemma":[0.00000479452,0.000032755,0.9283963,0.0001845326,0.00006199948,0.0001934844,0.004932516,0.0009717486,0.0001550147,0.004103853,0.06094292,0.00002005233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7444437,0.02913968,0.002043238,0.001872773,0.0001359126,0.00003668785,0.006726199,0.00004825573,0.2155534],"genre_scores_gemma":[0.9670592,0.01361378,0.0006033332,0.0001159873,0.000068132,0.00001641721,0.004694977,0.0000327221,0.01379547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4969403,"threshold_uncertainty_score":0.9880955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01926955212400902,"score_gpt":0.1837493226904517,"score_spread":0.1644797705664427,"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."}}