{"id":"W3036024779","doi":"10.24908/pceea.vi0.14200","title":"EXPANDED CROSS-DISCIPLINE IMPLEMENTATION STRATEGY OF DISCOVERY: A BIOMEDICAL ENGINEERING-THEMED EDUCATION PROGRAM BRIDGING SECONDARY AND POST-SECONDARY LEARNING","year":2020,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Curriculum; Bridging (networking); Context (archaeology); Active learning (machine learning); Experiential learning; Student engagement; Engineering education; Engineering ethics; Engineering; Mathematics education; Pedagogy; Computer science; Psychology; Engineering management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.008404394,0.0005210231,0.0004491981,0.001828919,0.004348978,0.003070405,0.003298913,0.001630272,0.01309002],"category_scores_gemma":[0.004995184,0.0003945382,0.0007203948,0.0009515338,0.00146339,0.00193637,0.01677785,0.002348651,0.002828153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005196093,"about_ca_system_score_gemma":0.02648948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002234377,"about_ca_topic_score_gemma":0.006261316,"domain_scores_codex":[0.9961516,0.001155038,0.0001589741,0.0007053139,0.0009583075,0.0008706723],"domain_scores_gemma":[0.9918444,0.0007707205,0.0003438969,0.0005816985,0.00094692,0.005512306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001293803,0.03441703,0.01448801,0.0009549982,0.00006391893,0.00143577,0.02837588,0.002344425,0.02025741,0.01979705,0.02056772,0.856004],"study_design_scores_gemma":[0.004413082,0.03925934,0.1749626,0.001483984,0.0003287797,0.004569313,0.04778862,0.01930229,0.06619135,0.04670411,0.5945323,0.0004642697],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8248283,0.0005203249,0.07095703,0.01383665,0.0009241747,0.01409341,0.0006603604,0.002092763,0.07208697],"genre_scores_gemma":[0.7686182,0.0004357521,0.1777276,0.003440027,0.0001916124,0.007214617,0.000658901,0.000150106,0.04156325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01309002,"threshold_uncertainty_score":0.04444718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005138652699275595,"score_gpt":0.2373514229632758,"score_spread":0.2322127702640002,"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."}}