{"id":"W2604796543","doi":"10.24908/pceea.v0i0.6472","title":"DESIGN AND DEVELOPMENT OF AN INTERDISCIPLINARY GRADUATE PROGRAM IN ENGINEERING PRACTICE","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Pedagogy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Strong; McMaster University","keywords":"Studio; Context (archaeology); Plan (archaeology); Relevance (law); Stakeholder; Work (physics); Empathy; Design studio; Sociology; Engineering ethics; Pedagogy; Engineering; Psychology; Public relations; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.0006461915,0.00016848,0.0001889375,0.0003431407,0.0001513662,0.0001216005,0.0003531279,0.0001279932,0.000004229049],"category_scores_gemma":[0.0007556598,0.0001825417,0.00002840255,0.0001728249,0.00001660646,0.0005394676,0.00004927692,0.0002589935,0.000001676974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000888837,"about_ca_system_score_gemma":0.0004022843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007671847,"about_ca_topic_score_gemma":0.001231497,"domain_scores_codex":[0.9990015,0.000005684572,0.000356104,0.0001557901,0.0002091903,0.0002717348],"domain_scores_gemma":[0.9990799,0.00006190612,0.0002331953,0.0001681959,0.00028013,0.0001766951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0000484726,0.001226745,0.05812367,0.007687571,0.0009852222,0.000002346669,0.09049849,0.615409,0.03791037,0.009072317,0.009483015,0.1695528],"study_design_scores_gemma":[0.000696321,0.00007632339,0.6496152,0.0009620112,0.0000774877,0.00001987479,0.002036582,0.301949,0.02328473,0.0001178691,0.0201998,0.0009647455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926651,0.0001675915,0.0009314921,0.001463269,0.00209631,0.0008647558,0.000006608156,0.0002260033,0.001578912],"genre_scores_gemma":[0.9574835,0.00001363385,0.04216475,0.00001483404,0.0000692593,0.0001126914,0.000004592844,0.00004321268,0.00009357788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5914916,"threshold_uncertainty_score":0.7443834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02709872757031756,"score_gpt":0.303055526856671,"score_spread":0.2759567992863535,"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."}}