{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004952234,0.0002078206,0.0001907368,0.000211159,0.0002657146,0.000148909,0.0008085191,0.0001666414,0.00001500717],"category_scores_gemma":[0.001162146,0.00018008,0.0001230213,0.0003795533,0.00002408292,0.0002589065,0.00004445135,0.0002742465,0.000005031059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003061363,"about_ca_system_score_gemma":0.0005594919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001584717,"about_ca_topic_score_gemma":0.000759705,"domain_scores_codex":[0.9987299,0.000005792128,0.0003599898,0.0001565394,0.0003890753,0.0003587314],"domain_scores_gemma":[0.9987609,0.00003397803,0.0003329093,0.0002977719,0.0004050908,0.0001693647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006672276,0.0004333954,0.4266027,0.003108324,0.0008650718,1.729138e-7,0.005242432,0.3296038,0.04132509,0.05649253,0.129692,0.006627829],"study_design_scores_gemma":[0.000220561,0.00001463738,0.9086216,0.000489364,0.00007541772,0.000003605502,0.0001367177,0.04260099,0.02028149,0.0001269109,0.0270048,0.0004239139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628514,0.0005319492,0.0008791664,0.004573873,0.01829349,0.002854519,0.00003955551,0.000808622,0.009167447],"genre_scores_gemma":[0.9956294,0.00001022948,0.003055833,0.00001820714,0.0001625015,0.0001730573,0.000002048305,0.00004905931,0.0008996329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4820189,"threshold_uncertainty_score":0.8005358,"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."}}