{"id":"W2939633160","doi":"10.24908/pceea.v0i0.13052","title":"Crossing Boundaries: Developing Transdisciplinary Skills in Engineering Education","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Formative assessment; Metacognition; Empathy; Engineering education; Context (archaeology); Curriculum; Engineering ethics; Engineering; Mathematics education; Pedagogy; Psychology; Engineering management; Cognition","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004146276,0.0002683667,0.0002691287,0.0006548142,0.000192545,0.0004243939,0.0003637855,0.0002925568,0.00003959626],"category_scores_gemma":[0.0003252442,0.0002868924,0.00009583439,0.001195605,0.00003560356,0.0004578571,0.00002365352,0.0004460794,0.00002209777],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0042512,"about_ca_system_score_gemma":0.002447695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001743909,"about_ca_topic_score_gemma":0.001596706,"domain_scores_codex":[0.998367,0.000004375173,0.0004947361,0.0002555439,0.0003539646,0.0005243877],"domain_scores_gemma":[0.9991785,0.000053288,0.0001315624,0.0001529089,0.0002613955,0.0002223083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002176727,0.001036684,0.3992438,0.03537839,0.0008201136,0.000001014983,0.07268065,0.230605,0.07846355,0.08786701,0.06814755,0.02573447],"study_design_scores_gemma":[0.0008209776,0.00003911801,0.7022681,0.004496829,0.00008835127,0.00002380645,0.002069639,0.08883487,0.0109027,0.0008624899,0.1877171,0.001876057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872411,0.0003977013,0.000222077,0.001975342,0.007298968,0.0005153998,0.00001330074,0.0002497961,0.002086331],"genre_scores_gemma":[0.9953975,0.00001827674,0.00302567,0.000117045,0.0002606112,0.00009672339,0.00002306604,0.0000764525,0.0009846558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3030243,"threshold_uncertainty_score":0.9999583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002928144185881527,"score_gpt":0.1933836658791719,"score_spread":0.1904555216932903,"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."}}