{"id":"W7097923424","doi":"","title":"UNIVERSITY SCIENCE AND ENGINEERING: PROMOTIONS, PROGRAMS AND PROGRESS","year":2015,"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":"Continuance; Agency (philosophy); Funding Agency; Women in science; University system; Higher education","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":[0.0005855682,0.00003051876,0.00003342082,0.00005476256,0.00030423,0.00009801535,0.00008772009,0.00001955489,0.000004946577],"category_scores_gemma":[0.00007051106,0.00003016219,0.000003925773,0.0003377809,0.0006074822,0.0003287896,0.0001110604,0.00002350421,0.000001951406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008101812,"about_ca_system_score_gemma":0.0002871324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00026178,"about_ca_topic_score_gemma":0.0002795135,"domain_scores_codex":[0.9994563,0.000009683014,0.00002098513,0.0001124636,0.0002708861,0.0001296176],"domain_scores_gemma":[0.9995704,0.000005328287,0.000008390954,0.00003185194,0.0001761785,0.0002079097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008470836,0.00005431978,0.7826196,0.000009412388,0.000006312459,0.00001269837,0.02102876,1.49579e-7,0.0000148898,0.1565619,0.001857942,0.03782558],"study_design_scores_gemma":[0.0008987788,0.0001063659,0.2960986,0.00002395952,0.00002124074,0.00000533666,0.04524228,0.0002340291,0.00006608582,0.0005538698,0.6563563,0.0003931039],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659787,0.00005005152,0.00003363809,0.001088774,0.00008571847,0.0001971541,4.70542e-7,0.0001163412,0.03244912],"genre_scores_gemma":[0.9960082,0.000009838599,0.002289924,0.000008241444,0.000013311,3.611455e-7,4.785574e-7,8.971477e-7,0.001668798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6544984,"threshold_uncertainty_score":0.2339922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04080788224532964,"score_gpt":0.2425847881911792,"score_spread":0.2017769059458495,"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."}}