{"id":"W2980150588","doi":"10.1007/s40797-019-00115-x","title":"Trends in Women’s Employment and Poverty Rates in OECD Countries: A Kitagawa–Blinder–Oaxaca Decomposition","year":2019,"lang":"en","type":"article","venue":"Italian Economic Journal","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Stockholms Universitet; Forskningsrådet om Hälsa, Arbetsliv och Välfärd; Vetenskapsrådet","keywords":"Poverty; Poverty reduction; Demographic economics; Economics; Gender equality; Development economics; Economic growth; Sociology","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":[0.005114324,0.0007307777,0.001058164,0.005754635,0.0004869442,0.002098296,0.0004953931,0.0003676236,0.004110404],"category_scores_gemma":[0.00817317,0.0003441369,0.002988828,0.004780424,0.0008534909,0.0007557761,0.001863786,0.0008412532,0.0005926024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069308,"about_ca_system_score_gemma":0.001473455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05029546,"about_ca_topic_score_gemma":0.01185434,"domain_scores_codex":[0.9976999,0.0008346192,0.0002357524,0.0003805364,0.0004224509,0.0004267377],"domain_scores_gemma":[0.9941467,0.001976633,0.002093272,0.0005557753,0.0009761647,0.000251478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005434165,0.000115883,0.8973889,0.0004278308,0.002855215,0.0007280775,0.001583619,0.0164317,0.0008072201,0.01739462,0.0108982,0.05082544],"study_design_scores_gemma":[0.00005571243,0.000157321,0.9552336,0.0002170317,0.0005735009,0.0001479281,0.001988139,0.02361057,0.0005467058,0.004361511,0.01301959,0.00008831651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.955544,0.002409935,0.01825757,0.0006946487,0.0001979093,0.0002033837,0.01188275,0.00019316,0.01061669],"genre_scores_gemma":[0.9812692,0.000869539,0.005297713,0.0001012676,0.0001188381,0.0002695881,0.00799961,0.00004649478,0.004027689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05029546,"threshold_uncertainty_score":0.1000054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02341434022809668,"score_gpt":0.3721748557225406,"score_spread":0.3487605154944439,"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."}}