{"id":"W4312101583","doi":"10.1002/jee.20497","title":"Developing transdisciplinarity in first‐year engineering","year":2022,"lang":"en","type":"article","venue":"Journal of Engineering Education","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Mount Saint Vincent University","funders":"","keywords":"Transdisciplinarity; Metacognition; Curriculum; Engineering education; Systems thinking; Psychology; Pedagogy; Qualitative research; Engineering; Engineering ethics; Mathematics education; Knowledge management; Sociology; Computer science; Cognition","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.003613423,0.000377874,0.0003338938,0.001299671,0.002004577,0.004868413,0.001317177,0.000807987,0.00473569],"category_scores_gemma":[0.008281182,0.0002257246,0.0002700553,0.000643989,0.001394861,0.001463656,0.005284732,0.001799519,0.0006054202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609982,"about_ca_system_score_gemma":0.004090379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005260224,"about_ca_topic_score_gemma":0.001862305,"domain_scores_codex":[0.9978443,0.0009343235,0.0001033211,0.0002952767,0.000467366,0.0003552883],"domain_scores_gemma":[0.9899856,0.003026751,0.001784141,0.000597986,0.001290125,0.003315429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003287336,0.008198739,0.159319,0.002067858,0.00008358093,0.001981259,0.1072922,0.003307161,0.0271055,0.01691351,0.007739654,0.6656629],"study_design_scores_gemma":[0.00009038553,0.006123656,0.4991812,0.003341892,0.0001000605,0.004918189,0.1750147,0.006482801,0.04071474,0.05014151,0.2136505,0.0002403862],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729618,0.0009824279,0.007507367,0.001171401,0.00009954403,0.000142479,0.0000313491,0.00007278242,0.01703077],"genre_scores_gemma":[0.9901833,0.0004997618,0.005360082,0.0001883088,0.0000172476,0.00007077525,0.00003546535,0.000007950197,0.003637091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004868413,"threshold_uncertainty_score":0.01910985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05166256657994814,"score_gpt":0.3796034474061781,"score_spread":0.32794088082623,"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."}}