{"id":"W3036484199","doi":"10.24908/pceea.vi0.14138","title":"USE OF AN INDIGENOUS LEARNING BUNDLE IN AN ENGINEERING PROJECT COURSE","year":2020,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Indigenous; Traditional knowledge; Commission; Reflection (computer programming); Engineering ethics; Class (philosophy); Engineering education; Engineering; Pedagogy; Sociology; Political science; Computer science; Engineering management; Ecology; Law","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":[0.0002711233,0.0002170903,0.0002482659,0.0003630369,0.00005958667,0.0001014382,0.0003190736,0.0001695843,0.00001343425],"category_scores_gemma":[0.0005530458,0.0002430163,0.0000599882,0.001009856,0.000008694811,0.0005949878,0.00001737724,0.0004102162,0.000003200097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001269066,"about_ca_system_score_gemma":0.0006514125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002504293,"about_ca_topic_score_gemma":0.001999801,"domain_scores_codex":[0.998679,0.000008389039,0.0004277733,0.0002065429,0.0003031882,0.0003751471],"domain_scores_gemma":[0.9990789,0.0000333061,0.0001668583,0.0001059334,0.0003171574,0.0002978611],"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":[0.000004426891,0.0002742266,0.1702966,0.001045542,0.0001354348,3.685989e-7,0.02265161,0.7822229,0.01753517,0.001234225,0.00275883,0.001840677],"study_design_scores_gemma":[0.0004584777,0.0001583394,0.5345538,0.0004532561,0.00008364663,0.000007735947,0.002184134,0.4208314,0.01414507,0.00001482118,0.0260179,0.001091482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980657,0.00007653297,0.00003835296,0.0003215333,0.0007103034,0.0003973734,0.00001368142,0.0002241148,0.0001524252],"genre_scores_gemma":[0.9965489,0.00001472267,0.002952757,0.00007161203,0.0001268041,0.00006998391,0.00002595645,0.00007175637,0.00011751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3642572,"threshold_uncertainty_score":0.9909918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143614762167663,"score_gpt":0.2190814293954891,"score_spread":0.2076452817738125,"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."}}