{"id":"W2598667874","doi":"10.24908/pceea.v0i0.6462","title":"EVOLUTION OF THE DESIGN ENGINEERING MENTORSHIP PROGRAM","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; University of Victoria","keywords":"Mentorship; Coaching; Context (archaeology); Certification; Experiential learning; Creativity; Engineering management; Capstone; Computer science; Program Design Language; Medical education; Engineering ethics; Engineering; Software engineering; Psychology; Mathematics education; Management; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01208012,0.0004657297,0.0002326433,0.001807489,0.002460258,0.002969229,0.003250272,0.001410687,0.02174784],"category_scores_gemma":[0.008312885,0.0003693999,0.0003995026,0.0008538955,0.0007397647,0.001558716,0.005874766,0.003474557,0.00523164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005285454,"about_ca_system_score_gemma":0.02384718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005255021,"about_ca_topic_score_gemma":0.01562939,"domain_scores_codex":[0.992634,0.001622235,0.0002439355,0.0006761802,0.003486736,0.001336972],"domain_scores_gemma":[0.9766979,0.0008834481,0.0005636578,0.001427367,0.006887854,0.01353984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002942297,0.003919241,0.007653206,0.0002079968,0.00001625779,0.0003197929,0.001610783,0.001062406,0.004249373,0.0100233,0.06383716,0.9068062],"study_design_scores_gemma":[0.0001294263,0.002750764,0.03581424,0.0003932751,0.00001631684,0.0007123372,0.001483831,0.002125969,0.008207932,0.00247621,0.9458032,0.00008646609],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3336734,0.004606532,0.09585796,0.08731357,0.008047557,0.008768973,0.002578418,0.005126349,0.4540271],"genre_scores_gemma":[0.3671727,0.002713049,0.08865597,0.007460701,0.001472121,0.002619532,0.001994859,0.0005463513,0.5273646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02174784,"threshold_uncertainty_score":0.07275373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007533752388133919,"score_gpt":0.2027013365349495,"score_spread":0.1951675841468156,"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."}}