{"id":"W1510625601","doi":"","title":"Obstacles to Gender Parity in Engineering Education","year":2008,"lang":"en","type":"article","venue":"Forum on public policy","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Narrative; Cornerstone; Disadvantaged; Gender studies; Context (archaeology); Engineering education; Sociology; Political science; Law; History","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":[0.005518313,0.000224509,0.0002336412,0.001147155,0.00389037,0.006004947,0.001043782,0.00138209,0.02225601],"category_scores_gemma":[0.01549437,0.0001281364,0.0001754445,0.001369093,0.008911506,0.004151782,0.007001488,0.002088383,0.0007966783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003783872,"about_ca_system_score_gemma":0.002970086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00541123,"about_ca_topic_score_gemma":0.004360694,"domain_scores_codex":[0.9948695,0.002442761,0.0001046048,0.0005040505,0.001234218,0.0008448276],"domain_scores_gemma":[0.9893357,0.00754119,0.001042438,0.0002197704,0.000854847,0.001006071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000062156,0.00006391681,0.01450378,0.000123472,0.000004290637,0.0003483045,0.05902089,0.0001831229,0.0001998617,0.8424622,0.01004054,0.0729875],"study_design_scores_gemma":[0.00002057477,0.0001277126,0.03137472,0.001389103,0.000009544927,0.0007893565,0.194012,0.000523904,0.0006757692,0.3995488,0.371494,0.0000345622],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3077995,0.01064875,0.004075786,0.08781912,0.0009401766,0.00006616581,0.0001888008,0.00001955102,0.5884421],"genre_scores_gemma":[0.9778686,0.001339706,0.0003949821,0.003079676,0.0001951546,0.00004521046,0.0000300883,0.00001036531,0.01703625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02225601,"threshold_uncertainty_score":0.07445377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05322264257442676,"score_gpt":0.2983250169299849,"score_spread":0.2451023743555582,"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."}}