{"id":"W1760061824","doi":"10.24908/pceea.v0i0.4820","title":"DEVELOPING ENGINEERING MANAGERS: THE MASTER OF ENGINEERING MANAGEMENT PROGRAM AT MEMORIAL UNIVERSITY OF NEWFOUNDLAND","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Mandate; Engineering management; Program management; Engineering; Graduate students; Engineering education; Medical education; Engineering ethics; Project management; Political science; Medicine; Systems engineering","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":[0.0005823672,0.0001227626,0.0001633069,0.0002634925,0.0002363431,0.00008825952,0.000522155,0.00009389846,0.00006237734],"category_scores_gemma":[0.0002836251,0.0001189552,0.00009269723,0.0006544885,0.0000273618,0.0002890512,0.0001105023,0.0001180554,0.000008378985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002481213,"about_ca_system_score_gemma":0.0001957323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02312305,"about_ca_topic_score_gemma":0.01785227,"domain_scores_codex":[0.9989176,0.000008211427,0.0002394146,0.0001490452,0.0003658049,0.0003199729],"domain_scores_gemma":[0.9990553,0.00005745136,0.0002937123,0.000102166,0.0003878605,0.0001035258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001965508,0.0002415775,0.433963,0.004456735,0.001750322,8.211717e-7,0.0528711,0.0122778,0.002397452,0.4320109,0.03789411,0.02211654],"study_design_scores_gemma":[0.0007850252,0.0000333223,0.5688632,0.001004431,0.0003386977,8.344608e-7,0.01120035,0.01588254,0.0007489177,0.000406905,0.3999401,0.0007957226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445502,0.000137355,0.0002546144,0.007218482,0.003425905,0.002579137,0.000008208517,0.0001913728,0.04163476],"genre_scores_gemma":[0.9890977,0.00002912218,0.003240527,0.00002092387,0.0001886149,0.00002431827,0.000003092643,0.00002055067,0.007375123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4316039,"threshold_uncertainty_score":0.9961985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070472266667929,"score_gpt":0.2064495315818608,"score_spread":0.1957448089151815,"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."}}