{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009073913,0.0002043042,0.000238588,0.0003069592,0.00005676318,0.00006260468,0.0003214143,0.0001715836,0.000007395232],"category_scores_gemma":[0.0006189671,0.0001599825,0.0000954692,0.0006942847,0.00001356688,0.0001178487,0.00001835781,0.0003420657,0.00001075082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001829621,"about_ca_system_score_gemma":0.0001345452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002121069,"about_ca_topic_score_gemma":0.000613768,"domain_scores_codex":[0.998704,0.000009782518,0.0003721333,0.000160597,0.0003600795,0.0003933898],"domain_scores_gemma":[0.9992397,0.0002077393,0.0001363321,0.0001527235,0.0001156706,0.0001478485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003746804,0.0001650667,0.8308667,0.005970918,0.0003748859,2.12735e-7,0.002611522,0.1007379,0.02811458,0.00529085,0.004487827,0.02134204],"study_design_scores_gemma":[0.001366345,0.0003344398,0.8047858,0.002908574,0.000108116,0.000008598834,0.0004652669,0.1093721,0.04384722,0.00006350241,0.03572315,0.001016811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949756,0.0001904901,0.000005150338,0.0005215958,0.002138886,0.0005513817,0.000004711039,0.00009675218,0.001515438],"genre_scores_gemma":[0.999224,0.0000184784,0.0001458153,0.00001529324,0.0001154356,0.0001090329,0.000007846693,0.00004535994,0.0003187272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03123533,"threshold_uncertainty_score":0.6523899,"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."}}