{"id":"W1804751228","doi":"10.24908/pceea.v0i0.4848","title":"ENGINEER LEADERSHIP IN ORGANIZATIONS AND THE IMPLICATIONS FOR CURRICULUM DEVELOPMENT","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Curriculum; Negotiation; Engineering ethics; Engineering education; Scale (ratio); Engineering; Phase (matter); Engineering management; Knowledge management; Political science; Computer science; Sociology; Pedagogy; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003418535,0.0001625715,0.0001567367,0.0002685122,0.0001487179,0.0001159995,0.0002506552,0.0001122895,0.00002184901],"category_scores_gemma":[0.0007461784,0.0001348989,0.00003876287,0.0008455933,0.00002052266,0.00018551,0.00001574044,0.0001795744,0.000008900126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307802,"about_ca_system_score_gemma":0.0003867434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009709588,"about_ca_topic_score_gemma":0.001708666,"domain_scores_codex":[0.9990472,0.000004002793,0.0003415928,0.0001422089,0.0001308671,0.0003340813],"domain_scores_gemma":[0.9990472,0.00008298847,0.00009329739,0.00009505879,0.0005393835,0.0001420341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002877038,0.000276818,0.4280474,0.002486787,0.0005196352,2.550281e-8,0.02084953,0.04633054,0.003852031,0.2511296,0.2370675,0.009437319],"study_design_scores_gemma":[0.000757697,0.000004730677,0.9302409,0.000217669,0.00004293141,0.000004557916,0.001496329,0.02276181,0.00119016,0.0005627957,0.0422121,0.0005083466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8914744,0.001968118,0.002250611,0.08471838,0.005813294,0.006939305,0.00004432715,0.0008075135,0.0059841],"genre_scores_gemma":[0.9936162,0.00002239623,0.003960483,0.0002473563,0.00007944138,0.0010623,0.00001546731,0.00004405981,0.0009523325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5021935,"threshold_uncertainty_score":0.5501017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009468192034913135,"score_gpt":0.1816926566843142,"score_spread":0.172224464649401,"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."}}