{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001645318,0.0001473125,0.000304864,0.0005655112,0.004972672,0.003350393,0.0004913084,0.0009023942,0.002939732],"category_scores_gemma":[0.003754181,0.000137605,0.0001818056,0.00047312,0.003406227,0.002835562,0.002412276,0.001082414,0.00042941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007048156,"about_ca_system_score_gemma":0.001481357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01039024,"about_ca_topic_score_gemma":0.01540805,"domain_scores_codex":[0.9987446,0.0006348836,0.00002825305,0.00006319134,0.0001335212,0.0003956094],"domain_scores_gemma":[0.9985318,0.0002995436,0.0002453935,0.00003659563,0.0001225624,0.0007639303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002980436,0.0005573318,0.3269843,0.0001455738,0.00007661871,0.001777441,0.4984763,0.0001479543,0.001415266,0.008928017,0.007466196,0.153727],"study_design_scores_gemma":[0.00001300048,0.0002970399,0.08890466,0.0002907593,0.00002464014,0.001428168,0.8857059,0.00006292188,0.0002351213,0.002132776,0.02085987,0.00004515764],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804496,0.003357866,0.0001668356,0.009136776,0.0001095861,0.000004707902,0.00001888848,0.000004739079,0.006751082],"genre_scores_gemma":[0.9970248,0.0009207863,0.00004886784,0.0006078689,0.00002543527,0.000003071799,0.000005321683,0.000002313044,0.001361436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01039024,"threshold_uncertainty_score":0.02065951,"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."}}