{"id":"W1950201585","doi":"10.24908/pceea.v0i0.5771","title":"A RETROSPECTIVE: DESIGNING A CAREER DEVELOPMENT PREPARATION COURSE IN A MANDATORY COOP ENGINEERING TECHNOLOGY PROGRAM","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Division of Electrical, Communications and Cyber Systems","keywords":"Employability; Bachelor; Medical education; Experiential learning; Multidisciplinary approach; Career development; Engineering management; Work (physics); Engineering education; Teamwork; Psychology; Engineering; Pedagogy; Medicine; Management; Sociology; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00150575,0.0001288037,0.0001649313,0.0004064873,0.000194578,0.0001096347,0.0002882373,0.0002237842,0.00001501305],"category_scores_gemma":[0.002776581,0.0001389468,0.00003754863,0.00133589,0.00003687491,0.0002624879,0.00002108547,0.0002452311,0.000008485516],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00850694,"about_ca_system_score_gemma":0.004977621,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008832257,"about_ca_topic_score_gemma":0.04764064,"domain_scores_codex":[0.998632,0.00001681497,0.0003059369,0.0002188018,0.0004436506,0.0003827569],"domain_scores_gemma":[0.9983155,0.00002423173,0.0002262709,0.00009236811,0.001068939,0.0002726531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002680195,0.0001384399,0.9617643,0.00004807229,0.00003047488,6.459359e-8,0.02160862,0.0003555867,0.0001592225,0.008912626,0.006087355,0.0008926133],"study_design_scores_gemma":[0.0003733806,0.00003695904,0.7884293,0.0002155309,0.0000341935,0.00000136428,0.004726919,0.0005086742,0.0009319398,0.0003713493,0.203941,0.0004294755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888681,0.000103465,0.00002739675,0.00556642,0.001324287,0.001001236,0.000003479958,0.0002274957,0.002878118],"genre_scores_gemma":[0.9932172,0.000002456098,0.005076928,0.00005375632,0.0001256448,0.0003308735,0.000004601584,0.000019251,0.001169309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1978536,"threshold_uncertainty_score":0.997768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01659056471440894,"score_gpt":0.2869885923550949,"score_spread":0.270398027640686,"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."}}