{"id":"W4405674882","doi":"10.24908/pceea.2024.18516","title":"Building Engineering Identity Through Mentorship Vision Boards","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Mentorship; Identity (music); Oppression; Pedagogy; Sociology; Engineering ethics; Psychology; Engineering; Aesthetics; Medical education; Medicine; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005267256,0.0002572632,0.0002065907,0.0004300294,0.0001071521,0.0003419059,0.0003966533,0.0002699061,0.00004586032],"category_scores_gemma":[0.0004608716,0.0002548297,0.0001458004,0.001246908,0.00001612354,0.0009576202,0.00003303297,0.0004684391,0.00002896571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003292224,"about_ca_system_score_gemma":0.0003207928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001908763,"about_ca_topic_score_gemma":0.0005252162,"domain_scores_codex":[0.9983649,0.000003838209,0.0003843298,0.0002534278,0.0005117311,0.0004817626],"domain_scores_gemma":[0.9992619,0.00006473684,0.00007086375,0.0001355356,0.0002095229,0.0002574844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004715493,0.0001937289,0.007259243,0.01609421,0.001123886,0.000001700233,0.00667984,0.0633134,0.1456863,0.3514879,0.3969094,0.01124565],"study_design_scores_gemma":[0.0002880395,0.0000422006,0.05671163,0.003045008,0.0002531976,0.0000254005,0.00021252,0.2452898,0.02432995,0.003010483,0.665399,0.001392815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9033245,0.006799191,0.008504259,0.0122665,0.05182949,0.001416642,0.0001277637,0.004032926,0.01169873],"genre_scores_gemma":[0.9942648,0.00006405455,0.003969474,0.00007508219,0.0007166642,0.00007368198,0.00001179856,0.00009416781,0.0007302507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3484774,"threshold_uncertainty_score":0.9999904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004905524834629547,"score_gpt":0.2251765508274568,"score_spread":0.2202710259928272,"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."}}