{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002190016,0.0001293439,0.000297915,0.001208524,0.0003523346,0.0004904652,0.0003149528,0.0002861589,0.003798845],"category_scores_gemma":[0.008602622,0.0001094354,0.0006135699,0.0012009,0.000294393,0.0004958459,0.0005592129,0.0005609251,0.0005480625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00039947,"about_ca_system_score_gemma":0.0005558231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008622833,"about_ca_topic_score_gemma":0.006055077,"domain_scores_codex":[0.9993284,0.0001466606,0.00004132683,0.0001062583,0.00009509103,0.000282286],"domain_scores_gemma":[0.9924157,0.003039247,0.00195496,0.000547549,0.0008410966,0.001201411],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002825155,0.00003342172,0.994018,0.000006099913,0.00005647179,0.0000414475,0.0002031665,0.000381867,0.00009146785,0.000099581,0.0003807199,0.004405176],"study_design_scores_gemma":[0.000008950183,0.0002743434,0.9959418,0.000009242945,0.00003730944,0.0000949728,0.0007031434,0.002053614,0.0001085344,0.0001956301,0.000562061,0.00001038148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984471,0.0001082455,0.0001570445,0.00005677938,0.000006331603,0.000004124495,0.0007627829,0.000007247017,0.0004503932],"genre_scores_gemma":[0.9991137,0.00002761272,0.00002247764,0.000007619329,0.000005306184,0.000004090599,0.000453792,0.000002512454,0.000362778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.99781,"threshold_uncertainty_score":0.01714528,"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."}}