{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001995911,0.0003744158,0.0001812205,0.000842701,0.003814313,0.005380335,0.0007803533,0.0009598059,0.004380331],"category_scores_gemma":[0.004664271,0.0002568034,0.0001610539,0.00163916,0.001257851,0.001707624,0.002588611,0.0009329613,0.00129415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01381806,"about_ca_system_score_gemma":0.04552154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.229706,"about_ca_topic_score_gemma":0.4032018,"domain_scores_codex":[0.9985701,0.0002997408,0.00005618799,0.00009976942,0.0006762563,0.0002979729],"domain_scores_gemma":[0.9947138,0.0003224385,0.0002620587,0.0001878121,0.0007698322,0.003743987],"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":[0.000094288,0.0007118097,0.03876546,0.0003496025,0.00001477489,0.0007426872,0.03385541,0.002806974,0.00468218,0.06983573,0.09123196,0.7569091],"study_design_scores_gemma":[0.00007553054,0.0007315413,0.181978,0.0007657452,0.00004000852,0.0008271855,0.0381371,0.006860458,0.01106976,0.0339908,0.7253929,0.0001309563],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.571059,0.007152244,0.05061953,0.04480616,0.0006118402,0.0007972082,0.0005842554,0.0009582714,0.3234115],"genre_scores_gemma":[0.8910004,0.004236182,0.04239246,0.0007546469,0.00005899247,0.0002030211,0.0005176949,0.00008090074,0.06075573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.229706,"threshold_uncertainty_score":0.4567378,"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."}}