{"id":"W1994543706","doi":"10.1126/science.1214844","title":"Survival Analysis of Faculty Retention in Science and Engineering by Gender","year":2012,"lang":"en","type":"article","venue":"Science","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":190,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Retention rate; Women in science; Gender gap; Science and engineering; Medical education; University faculty; Psychology; Sociology; Medicine; Engineering; Demographic economics; Marketing; Business; Engineering ethics; Economics; Gender studies","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003903196,0.00003269859,0.000071982,0.0003903162,0.0002765659,0.00004904579,0.000239097,0.00001632967,0.00002048211],"category_scores_gemma":[0.0003998256,0.00003234535,0.00001514011,0.004793299,0.0009226475,0.0008847835,0.0001040991,0.00002947471,0.000001322386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000145767,"about_ca_system_score_gemma":0.0001869765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000799169,"about_ca_topic_score_gemma":0.0002159083,"domain_scores_codex":[0.9986477,0.00001185,0.00006971683,0.0001450025,0.0008462736,0.0002794316],"domain_scores_gemma":[0.999633,0.00001984301,0.00002864249,0.00005896036,0.0001433331,0.0001162269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[8.632696e-7,0.00001052533,0.9681439,0.000001718451,0.000004150823,9.572945e-8,0.01318432,0.00001029756,0.01509516,0.003034786,0.000026941,0.0004871753],"study_design_scores_gemma":[0.00003770115,0.00000156387,0.9950491,0.000001494598,0.00001415851,2.936436e-8,0.003287431,0.0002778607,0.0007330365,0.00001500926,0.000531137,0.00005143079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994876,0.0000434498,0.00009892785,0.00003700554,0.0001703761,0.00003631865,0.000004386713,0.000009122711,0.004724451],"genre_scores_gemma":[0.9996202,0.000008559706,0.000284817,0.000007824428,0.000007128225,4.383344e-7,0.000001023318,5.482798e-7,0.00006943526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02690518,"threshold_uncertainty_score":0.3399533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06392933499243691,"score_gpt":0.3048066901705345,"score_spread":0.2408773551780976,"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."}}