{"id":"W2186356524","doi":"","title":"Cheap Maids and Nannies: How Low-skilled immigration is changing the labor supply of high-skilled American women","year":2007,"lang":"en","type":"article","venue":"","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Booth University College","funders":"","keywords":"Immigration; Housekeeping; Demographic economics; Labour economics; Graduate degree; Economics; Political science; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003882147,0.00007767124,0.00008190682,0.0002699536,0.001092751,0.0008119622,0.0002383164,0.0004413333,0.005797006],"category_scores_gemma":[0.001534332,0.00008935914,0.0002230458,0.0003736188,0.0006825367,0.0005583631,0.0004620736,0.0003796981,0.0002577654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000568755,"about_ca_system_score_gemma":0.0006369487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03670904,"about_ca_topic_score_gemma":0.07900539,"domain_scores_codex":[0.9998459,0.00005812558,0.000004393284,0.00001924389,0.00001378044,0.00005850208],"domain_scores_gemma":[0.9995822,0.00008594924,0.0001365604,0.00001712587,0.00002758565,0.0001504431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002694475,0.000223478,0.9158944,0.0000595878,0.00005987341,0.0006243777,0.01660056,0.0001976483,0.001097312,0.004918451,0.007046656,0.05300826],"study_design_scores_gemma":[0.00001232628,0.00006449413,0.9722792,0.00003578479,0.00002646574,0.00009574973,0.01952213,0.0001276991,0.0001846964,0.0007879351,0.006853303,0.00001014293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891635,0.0004414359,0.00004612103,0.004080645,0.00004186025,0.00000305133,0.00006060079,0.000002535092,0.006160289],"genre_scores_gemma":[0.9968637,0.0003719805,0.00003883603,0.0005203731,0.00003639831,0.000002965678,0.00003728305,0.000001658513,0.002126738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03670904,"threshold_uncertainty_score":0.07299072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005599419132848035,"score_gpt":0.2450374242216541,"score_spread":0.2394380050888061,"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."}}