{"id":"W3001231993","doi":"10.24908/pceea.vi0.13761","title":"THE EFFECT OF OUTREACH PROGRAMS ON INCREASING FEMALE ENROLLMENT IN ENGINEERING","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Outreach; Science and engineering; Medical education; Point (geometry); Engineering education; Psychology; Gerontology; Engineering; Medicine; Political science; Engineering management; Mathematics; Engineering ethics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002153999,0.0004976136,0.0002678876,0.0006554561,0.0009738833,0.0008364509,0.0008243576,0.0007073494,0.01023831],"category_scores_gemma":[0.01447709,0.0001458533,0.0006625815,0.0004867396,0.0006060012,0.0005409982,0.001115308,0.0009079505,0.0004342271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002124371,"about_ca_system_score_gemma":0.003695147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03785048,"about_ca_topic_score_gemma":0.07926422,"domain_scores_codex":[0.9976968,0.00120051,0.00008999866,0.0001430821,0.0003325341,0.0005369988],"domain_scores_gemma":[0.9814804,0.009187129,0.002219926,0.0004820733,0.0008471716,0.00578336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02003304,0.08108795,0.2585504,0.001139534,0.0005156294,0.0004327332,0.004871218,0.003034101,0.006579041,0.001633628,0.007865702,0.614257],"study_design_scores_gemma":[0.001006153,0.03689282,0.948693,0.0002321076,0.0002819064,0.00004757465,0.002865326,0.001038867,0.003418109,0.000256044,0.00523387,0.00003427827],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917715,0.0003150992,0.0001321603,0.0006258913,0.00007914167,0.0003111124,0.00014651,0.00004254115,0.006576125],"genre_scores_gemma":[0.9953642,0.0003092174,0.0004332489,0.000237918,0.00004983633,0.0001966887,0.0001250461,0.000006723793,0.003277148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03785048,"threshold_uncertainty_score":0.07526028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002287122637670027,"score_gpt":0.1735578331174719,"score_spread":0.1712707104798019,"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."}}