{"id":"W4308912653","doi":"10.24908/pceea.vi.15880","title":"Canadian Engineering Grand Challenges in co-curricular and online environment: Opportunities and Challenges","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"University of Waterloo","keywords":"Mainstream; Curriculum; Engineering education; Grand Challenges; Student engagement; Leverage (statistics); Engineering ethics; Engineering; Pedagogy; Psychology; Political science; Engineering management; Computer science","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":[0.01139459,0.0006564807,0.0003605887,0.001301854,0.02410689,0.01256424,0.003121757,0.002707554,0.01452141],"category_scores_gemma":[0.01406435,0.0004438474,0.0004469653,0.002894312,0.006953811,0.003409449,0.009891574,0.003944751,0.001647256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03812349,"about_ca_system_score_gemma":0.1824115,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7761108,"about_ca_topic_score_gemma":0.940623,"domain_scores_codex":[0.9870532,0.003463842,0.0002012016,0.00078837,0.00471596,0.003777401],"domain_scores_gemma":[0.9816238,0.002200031,0.0004435719,0.0007066558,0.005308202,0.009717621],"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":[0.000217084,0.001111075,0.03233358,0.0007621698,0.0000492102,0.002229747,0.1129343,0.002664223,0.004326958,0.1518225,0.2803699,0.4111793],"study_design_scores_gemma":[0.00002847701,0.0001526239,0.01821622,0.0002961941,0.00001906701,0.0004772239,0.164929,0.001433093,0.001791865,0.01060889,0.8018928,0.0001546225],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.333133,0.003384939,0.02759515,0.1867437,0.004738571,0.001156109,0.0009614521,0.0006263371,0.4416609],"genre_scores_gemma":[0.8603304,0.002003309,0.02793139,0.00887016,0.0002419893,0.0005325495,0.000456463,0.000223473,0.09941017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2238892,"threshold_uncertainty_score":0.4504155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02050099033117768,"score_gpt":0.1827301018002779,"score_spread":0.1622291114691002,"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."}}