{"id":"W2979797233","doi":"10.1177/0958928720963324","title":"Reducing mommy penalties with daddy quotas","year":2020,"lang":"en","type":"article","venue":"Journal of European Social Policy","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural experiment; Difference in differences; Demographic economics; Work (physics); Significant difference; Percentage point; Economics; Labour economics; Econometrics; Statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007691294,0.0001292036,0.0002542621,0.00009954426,0.0006371444,0.0001611714,0.0004484188,0.00004459739,0.0000311879],"category_scores_gemma":[0.0004119123,0.0001087525,0.0001402562,0.0005329242,0.0002941146,0.0002828742,0.00005679486,0.0003597227,0.00003854821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001215392,"about_ca_system_score_gemma":0.0007216851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006613167,"about_ca_topic_score_gemma":0.00005977522,"domain_scores_codex":[0.9980646,0.0005456902,0.0003770198,0.0001249004,0.0005423501,0.000345376],"domain_scores_gemma":[0.998844,0.00003945621,0.0004432372,0.00006983256,0.0002943121,0.0003091799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002583856,0.0001915785,0.0113092,0.00006134679,0.0003406617,0.0004441674,0.7804143,0.0003065681,0.001485809,0.07712205,0.115019,0.01304687],"study_design_scores_gemma":[0.00262998,0.00101393,0.1771311,0.0001210542,0.0002262331,0.00004983891,0.2656049,0.0000521245,0.0000395326,0.001825155,0.5504373,0.0008689847],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6624658,0.0001807687,0.0003211702,0.03293502,0.0002993709,0.0001083879,0.00001386905,0.00005485013,0.3036208],"genre_scores_gemma":[0.9781895,0.0001982849,0.0004649424,0.00301249,0.01731194,2.140608e-7,0.000001026458,0.00003481938,0.000786759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5148095,"threshold_uncertainty_score":0.4900464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0443435289234627,"score_gpt":0.3097906158552715,"score_spread":0.2654470869318088,"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."}}