{"id":"W2886582624","doi":"10.24908/pceea.v0i0.7359","title":"IMAGES OF THE FUTURE: GENDER AND PORTRAYALS OF FACULTY AND INDUSTRY MEMBERS IN CANADIAN ENGINEERING SCHOOL RECRUITMENT MATERIALS","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Context (archaeology); Representation (politics); Suspect; Population; Psychology; Public relations; Medical education; Sociology; Political science; Medicine; History; Law; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006258276,0.0001409463,0.0001907637,0.0002434998,0.0001136036,0.0001109117,0.0002686321,0.0002203547,0.00003837354],"category_scores_gemma":[0.001084338,0.0001301137,0.00003232388,0.0001825077,0.00002315929,0.0003281627,0.00002279773,0.0002795664,5.334413e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009473407,"about_ca_system_score_gemma":0.0006557517,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1012633,"about_ca_topic_score_gemma":0.04997721,"domain_scores_codex":[0.9991174,0.000007796441,0.0003151808,0.0001245805,0.0001804553,0.0002545812],"domain_scores_gemma":[0.999015,0.00003236063,0.000331717,0.0001554285,0.0002079717,0.0002575081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005516566,0.00005236688,0.8877918,0.001701823,0.0003352363,2.763951e-7,0.004693518,0.003972681,0.06259503,0.007280593,0.02990866,0.001662466],"study_design_scores_gemma":[0.0001410119,0.000003741383,0.9639788,0.0001470053,0.00003910765,0.000004024653,0.0005345441,0.0003763642,0.02130134,0.00003948919,0.01328055,0.0001539763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924017,0.0002404858,9.560056e-7,0.002330069,0.00158246,0.0004659603,0.00008990973,0.0000180857,0.00287034],"genre_scores_gemma":[0.9990781,0.00005301602,0.0003215346,0.00005300791,0.0001078107,0.00004468972,0.000004094107,0.00002536065,0.0003123962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07618701,"threshold_uncertainty_score":0.9673582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02108828499400385,"score_gpt":0.2587323063573985,"score_spread":0.2376440213633946,"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."}}