{"id":"W2162533299","doi":"10.24908/pceea.v0i0.5774","title":"TEACHING WISDOM AND OTHER SOFT SKILLS WITHIN ENGINEERING CURRICULA","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Soft skills; Accreditation; Teamwork; Creativity; Curriculum; Engineering ethics; Curiosity; Engineering education; Inclusion (mineral); Pedagogy; Psychology; Engineering; Medical education; Engineering management; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006211992,0.0002590984,0.0002185462,0.0003535636,0.00009951706,0.0001265443,0.0002695171,0.0001767394,0.0000107383],"category_scores_gemma":[0.0008624191,0.0002586226,0.00006205291,0.0004341556,0.000014429,0.000251187,0.00002916902,0.0004066504,0.00001274334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001946985,"about_ca_system_score_gemma":0.000364341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001771183,"about_ca_topic_score_gemma":0.0006102732,"domain_scores_codex":[0.9986728,0.000005575616,0.0003749974,0.0002037683,0.0003617255,0.0003810744],"domain_scores_gemma":[0.9989572,0.00003838321,0.0001465214,0.0001193293,0.0002827363,0.0004558132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004815174,0.0003997184,0.2520568,0.002428819,0.0008445489,8.622178e-7,0.04142392,0.3606608,0.01060982,0.08434356,0.2405233,0.006703052],"study_design_scores_gemma":[0.001360942,0.00005479285,0.1259136,0.001688588,0.0002371497,0.00008733558,0.003315399,0.2283118,0.007957156,0.0006488343,0.6277242,0.002700141],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784353,0.0007040555,0.0003677811,0.002371802,0.007689764,0.0007208457,0.00003186857,0.0008464421,0.00883219],"genre_scores_gemma":[0.9930611,0.000005854289,0.004788871,0.0002168935,0.0002783305,0.00008125519,0.000005824193,0.00008742618,0.00147443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3872009,"threshold_uncertainty_score":0.9999866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004302785066165999,"score_gpt":0.1905613370317386,"score_spread":0.1862585519655726,"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."}}