{"id":"W3036507021","doi":"10.24908/pceea.vi0.14150","title":"OUTCOMES AND LESSONS FROM DEPLOYING DIGITAL NOTEBOOKS ACROSS A MULTI-SECTION ENGINEERING DESIGN COURSE","year":2020,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Pedagogy","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Flexibility (engineering); Teamwork; Process (computing); Engineering design process; Engineering management; Computer science; Course (navigation); Engineering; Knowledge management; Management","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":[0.000187491,0.0002704126,0.0002625841,0.0001300993,0.0001351727,0.0002674702,0.0002556844,0.0002162298,0.00001227815],"category_scores_gemma":[0.000894718,0.0002911025,0.00008953871,0.0003476469,0.00001461536,0.0003774273,0.00003105942,0.0003888184,0.000009641089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008318843,"about_ca_system_score_gemma":0.000247254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00144306,"about_ca_topic_score_gemma":0.0007769605,"domain_scores_codex":[0.9987623,0.000004240887,0.0003367134,0.0002481756,0.0002415636,0.000407022],"domain_scores_gemma":[0.9990237,0.0001185851,0.0001335476,0.0001052304,0.0002168765,0.0004020018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001441555,0.0001954441,0.456991,0.001476013,0.001309391,0.000001084933,0.032894,0.4125266,0.0524853,0.002617938,0.02852723,0.01096153],"study_design_scores_gemma":[0.0007876375,0.00002559159,0.6219497,0.0002447129,0.000129685,0.000007002823,0.001138099,0.339192,0.005876885,0.00003503889,0.02962409,0.0009895258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753059,0.0005406089,0.00927945,0.007642043,0.004606688,0.0008118362,0.0002475134,0.001134175,0.0004318165],"genre_scores_gemma":[0.9953431,0.00001849457,0.003714902,0.0002060193,0.0003103081,0.00006170762,0.00001490391,0.00009414939,0.0002364152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1649587,"threshold_uncertainty_score":0.9999541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02660694356311641,"score_gpt":0.258788814433096,"score_spread":0.2321818708699796,"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."}}