{"id":"W2910949901","doi":"10.24908/pceea.v0i0.13064","title":"Engineering Teaching and Learning Fellows as a Catalyst of Change Management in Engineering Education","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Situated; Context (archaeology); Situated learning; Perspective (graphical); Engineering education; Quality (philosophy); Macro; Engineering ethics; Engineering; Sociology; Knowledge management; Pedagogy; Psychology; Engineering management; Computer science; Geography; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006011691,0.0001872701,0.0002581415,0.0008786438,0.004314909,0.00456282,0.0009458813,0.001260216,0.003416272],"category_scores_gemma":[0.01194278,0.0001733963,0.0001984928,0.0006102461,0.005456515,0.003887129,0.003343844,0.001600432,0.000325109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001448349,"about_ca_system_score_gemma":0.001598202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002214187,"about_ca_topic_score_gemma":0.005360776,"domain_scores_codex":[0.9945673,0.003854662,0.000129743,0.0003910757,0.0005202102,0.0005370381],"domain_scores_gemma":[0.9899246,0.0056508,0.001159857,0.0005227267,0.0007923731,0.001949572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009277858,0.000511474,0.07511178,0.0001645474,0.00001705925,0.001098629,0.8174981,0.0002149491,0.001757417,0.01538428,0.002101758,0.08604722],"study_design_scores_gemma":[0.00001079419,0.000265047,0.02498789,0.0001818522,0.00001536017,0.001040838,0.9001568,0.0004974829,0.001209223,0.003524076,0.06807226,0.00003838467],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9824002,0.0004247942,0.002636467,0.002706073,0.00008095596,0.00003624271,0.00001454292,0.00002109288,0.01167966],"genre_scores_gemma":[0.99685,0.0001161997,0.0007252302,0.0001596895,0.00001741442,0.00001427368,0.000009645076,0.000007245658,0.002100209],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006011691,"threshold_uncertainty_score":0.03179324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0369375805148173,"score_gpt":0.3021620125743919,"score_spread":0.2652244320595746,"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."}}