{"id":"W7101016816","doi":"","title":"THE BEST OF BOTH WORLDS? WORK, FAMILY LIFE AND THE RETENTION OF WOMEN IN ENGINEERING","year":2014,"lang":"en","type":"article","venue":"","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Argument (complex analysis); Family life; Work (physics); Work–life balance; Working life; Order (exchange)","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":[0.00163769,0.00002372476,0.00006611814,0.00002196992,0.00007418771,0.00001636329,0.00009160319,0.00001707444,0.000009418536],"category_scores_gemma":[0.0002285831,0.00001389454,0.00001555009,0.0001639846,0.0001332293,0.00004294677,0.00004115563,0.00002849343,0.00000100928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002978982,"about_ca_system_score_gemma":0.00002628694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001480583,"about_ca_topic_score_gemma":0.000888311,"domain_scores_codex":[0.9995915,0.00004692137,0.00007732898,0.00004047536,0.0001313769,0.0001123618],"domain_scores_gemma":[0.9996641,0.0002109383,0.00002938937,0.0000454065,0.00002037723,0.00002974978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001385426,0.00002226586,0.7825828,0.0000214487,0.00003113726,1.785514e-7,0.06157313,0.00003660727,0.0001064962,0.1438114,0.0009047535,0.01077132],"study_design_scores_gemma":[0.001127756,0.00001895841,0.9247415,0.000040344,0.000008345771,2.471934e-8,0.05480621,0.0002170058,0.00002986256,0.001610668,0.01729721,0.0001020852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753909,0.00006986486,0.00007005747,0.000419058,0.00006661042,0.00006552051,1.435615e-7,0.000005089703,0.02391272],"genre_scores_gemma":[0.9984463,0.00008553722,0.00004920081,0.00002287246,0.00001395564,0.000001638175,1.085505e-7,8.797563e-7,0.001379467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1422007,"threshold_uncertainty_score":0.2238208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01597481402874429,"score_gpt":0.2073569373730463,"score_spread":0.191382123344302,"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."}}