{"id":"W4396777269","doi":"10.1017/9781800108868.013","title":"Women, Work, Earnings and Family","year":2024,"lang":"en","type":"other","venue":"","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Work (physics); Demographic economics; Labour economics; Economics; Engineering; Accounting; 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":[0.001461825,0.0003434475,0.0004957034,0.001315872,0.007939721,0.005937635,0.0007309657,0.0008854855,0.01873386],"category_scores_gemma":[0.003919963,0.0001404809,0.0001930909,0.002273931,0.003731059,0.00311765,0.004140854,0.001439138,0.001929848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002798778,"about_ca_system_score_gemma":0.004429833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03622666,"about_ca_topic_score_gemma":0.05875871,"domain_scores_codex":[0.9984262,0.00062647,0.00003743198,0.00008272823,0.0002181514,0.0006090368],"domain_scores_gemma":[0.9982489,0.0002213937,0.0002070395,0.0000406001,0.000146832,0.001135248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001539013,0.0004125961,0.09934942,0.0004208068,0.0000692276,0.002740245,0.1150678,0.0002585478,0.000115,0.1034429,0.3738469,0.3041225],"study_design_scores_gemma":[0.0000235383,0.0001426604,0.1074506,0.002723215,0.00002127309,0.001707637,0.237489,0.00006105468,0.00005602431,0.02732171,0.6229388,0.00006455392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2073044,0.1625037,0.0004447314,0.1428868,0.004844508,0.00009242975,0.001057417,0.00008837439,0.4807776],"genre_scores_gemma":[0.8341932,0.06659779,0.0002136013,0.01185851,0.001531886,0.00009215245,0.0002216248,0.00004224865,0.08524887],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03622666,"threshold_uncertainty_score":0.07203162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01883118088280298,"score_gpt":0.2648157958605875,"score_spread":0.2459846149777845,"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."}}