{"id":"W2167618533","doi":"10.24908/pceea.v0i0.4672","title":"ENGINEERING PORTFOLIOS AT THE UNIVERSITY OF TORONTO: DEVELOPING SKILLS FOR COMMUNICATION,PROFESSIONALISM AND LIFE-LONG LEARNING","year":2012,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Portfolio; Context (archaeology); Engine department; Telecommunications engineering; Engineering education; Engineering management; Advisory committee; Communication skills; Engineering; Computer science; Medical education; Management; Telecommunications; Business; Medicine; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005455753,0.0001500305,0.0001617241,0.00008245745,0.0002724735,0.00002642843,0.0002575586,0.0001249625,0.00005008094],"category_scores_gemma":[0.0005781761,0.0001435125,0.00006241669,0.0002151845,0.0000174169,0.0002633216,0.00004974445,0.0001749896,0.000002705089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002092281,"about_ca_system_score_gemma":0.0002803571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001460634,"about_ca_topic_score_gemma":0.001481922,"domain_scores_codex":[0.9991522,0.0000069433,0.0002466047,0.000103443,0.0001897701,0.0003010475],"domain_scores_gemma":[0.9991062,0.0001247412,0.0001793386,0.0001099713,0.0003147199,0.0001649942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001159711,0.0002431507,0.6110471,0.00437535,0.001346134,8.156355e-8,0.05997035,0.05512024,0.008588098,0.06136555,0.1879767,0.009955516],"study_design_scores_gemma":[0.0002948052,0.000006024988,0.781474,0.0004608577,0.00009258486,0.000005419255,0.002173968,0.007276713,0.002575576,0.0000254107,0.2051595,0.0004551288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987068,0.004976797,0.0005296861,0.002460663,0.002360316,0.0007936356,0.00002264876,0.0002072845,0.001580989],"genre_scores_gemma":[0.9949472,0.0002453808,0.002803058,0.000060517,0.00007683009,0.00003039308,0.00001885287,0.00003714149,0.001780642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1704268,"threshold_uncertainty_score":0.5852272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004963620598763789,"score_gpt":0.1980004678418185,"score_spread":0.1930368472430548,"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."}}