{"id":"W2070023894","doi":"10.1108/13620430510732012","title":"Advancing women's careers","year":2005,"lang":"en","type":"article","venue":"Career Development International","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Glass ceiling; Workforce; Originality; Face (sociological concept); Public relations; Limiting; Value (mathematics); Career development; Economic shortage; Baby boomers; Political science; Business; Sociology; Government (linguistics); Labour economics; Pedagogy; Engineering; Economics; Social science; Qualitative research; Law","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":[0.002554849,0.0003623599,0.000364569,0.002178558,0.006333326,0.004315217,0.0004491885,0.0004947605,0.01583353],"category_scores_gemma":[0.005334464,0.000136431,0.0002378742,0.002183231,0.001626639,0.002625289,0.004653919,0.001043869,0.002412996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001925868,"about_ca_system_score_gemma":0.005075698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003551227,"about_ca_topic_score_gemma":0.008312205,"domain_scores_codex":[0.9980317,0.0007443508,0.00005815629,0.0001055547,0.0005189007,0.0005413898],"domain_scores_gemma":[0.9975979,0.000774236,0.0002580307,0.0001411165,0.0005509286,0.0006777191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008631117,0.0001469453,0.02576133,0.00095599,0.00001311315,0.0004623386,0.1379193,0.0001105477,0.0009857999,0.06480567,0.2572578,0.5114949],"study_design_scores_gemma":[0.00000316487,0.00007463108,0.01299322,0.001037046,0.000005231057,0.0002766062,0.07925996,0.00001729272,0.0002605273,0.003869278,0.9021928,0.00001031959],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2007915,0.06408918,0.002400375,0.07317726,0.007065605,0.000330411,0.00114407,0.0001278101,0.6508738],"genre_scores_gemma":[0.6389403,0.09069625,0.004440298,0.01441426,0.002211664,0.0004194488,0.0008141718,0.0001346606,0.247929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01583353,"threshold_uncertainty_score":0.05296844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06026290845232367,"score_gpt":0.2856040710993492,"score_spread":0.2253411626470255,"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."}}