{"id":"W2751503300","doi":"","title":"Measuring Progress for Women in Engineering, Science and Technology -- Are We There Yet, And If So, How Can We Be Sure?","year":2006,"lang":"en","type":"article","venue":"Women in Engineering ProActive Network","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Engineering ethics; Engineering; Science and engineering; Engineering management","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.02465847,0.0006897348,0.0008936279,0.002858615,0.001870822,0.004322748,0.001337754,0.001418419,0.002780252],"category_scores_gemma":[0.0630533,0.0002472661,0.0005619657,0.002987856,0.001458956,0.008689665,0.00536539,0.002048068,0.0009570181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002472679,"about_ca_system_score_gemma":0.005631985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01210252,"about_ca_topic_score_gemma":0.02168001,"domain_scores_codex":[0.988008,0.005959265,0.0008550491,0.0008789112,0.00267804,0.001620611],"domain_scores_gemma":[0.9675917,0.009385036,0.006294131,0.001717535,0.007810593,0.007200923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001538927,0.0002626236,0.7467054,0.000655412,0.0002376813,0.00003866702,0.01365713,0.0005105779,0.0003923635,0.007759421,0.01935202,0.2102748],"study_design_scores_gemma":[0.00005632558,0.001382548,0.7911747,0.002882098,0.0003541472,0.0001411104,0.08765889,0.001988377,0.002536778,0.01786898,0.0937971,0.0001590012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8110334,0.01193919,0.007113021,0.1287192,0.002177745,0.0002918543,0.003313111,0.000160604,0.03525183],"genre_scores_gemma":[0.9829264,0.004157284,0.005566732,0.002444825,0.0003013407,0.0003128944,0.0007469551,0.00002868083,0.003514915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9986622,"threshold_uncertainty_score":0.130408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619403765973314,"score_gpt":0.2096687532540709,"score_spread":0.1934747155943377,"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."}}