{"id":"W4403764113","doi":"10.24908/pceea.2023.17137","title":"A Case Study in VLSI Education during the COVID-19 Pandemic","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; CMC Microsystems","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Medicine; Infectious disease (medical specialty); Disease; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002445074,0.0005697072,0.0003264202,0.0009794133,0.01031262,0.003313588,0.001917787,0.006344309,0.007651835],"category_scores_gemma":[0.006236753,0.0004072388,0.0005267273,0.001220899,0.002635968,0.001838993,0.003108639,0.004044905,0.001577117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00472013,"about_ca_system_score_gemma":0.003973366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01481653,"about_ca_topic_score_gemma":0.04400345,"domain_scores_codex":[0.9968453,0.001404087,0.00009374321,0.0002095231,0.0006018715,0.0008454231],"domain_scores_gemma":[0.9952006,0.001520756,0.000276559,0.0001574063,0.0005303111,0.002314297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.0004222761,0.004880236,0.06478277,0.0006652587,0.00006779098,0.349955,0.2562818,0.01237876,0.007065351,0.0428951,0.09410383,0.166502],"study_design_scores_gemma":[0.0001378562,0.001918374,0.02440698,0.0005478903,0.0000426057,0.08357155,0.4705805,0.00938075,0.004673193,0.009345537,0.3952064,0.0001882686],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8728446,0.001225114,0.009870675,0.03427701,0.0005677555,0.0003105534,0.0003238594,0.000215457,0.0803649],"genre_scores_gemma":[0.9488712,0.001178998,0.007328706,0.004741013,0.0001698365,0.00008907631,0.0001607379,0.0001035602,0.03735693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01481653,"threshold_uncertainty_score":0.03424716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638036329633498,"score_gpt":0.2468709485688797,"score_spread":0.2304905852725447,"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."}}