{"id":"W4391657227","doi":"10.18260/1-2--42159","title":"Co-Creating a Cyber-Physical Systems Educational Module: A Project-Based Learning Approach","year":2024,"lang":"en","type":"article","venue":"","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Massachusetts; Virginia Polytechnic Institute and State University; York University; Massachusetts Institute of Technology","keywords":"Cyber-physical system; Software deployment; Computer science; Physical system; Experiential learning; Engineering management; Systems engineering; Engineering; Software engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001076461,0.0001335945,0.0001175593,0.0001386661,0.00004896493,0.0001403648,0.00007412556,0.00006555425,0.00003779507],"category_scores_gemma":[0.00002724777,0.0001128872,0.00004855563,0.0003583021,0.00002160232,0.00009962179,0.000004604532,0.0002687428,0.0001032648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001052736,"about_ca_system_score_gemma":0.00009715066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007695844,"about_ca_topic_score_gemma":2.46699e-7,"domain_scores_codex":[0.9992706,0.00001376168,0.0001352673,0.0001885346,0.0001851065,0.0002067476],"domain_scores_gemma":[0.9997152,0.00009020703,0.000006806677,0.00009511184,0.00002012557,0.00007252189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006384493,0.000387967,0.0003056518,0.01011132,0.0002585537,0.000005500503,0.003842278,0.7605353,0.01296846,0.03602103,0.1565268,0.01903075],"study_design_scores_gemma":[0.00005360745,0.00001396479,0.0001494655,0.0001127037,0.00001070942,0.000009276513,0.00009799549,0.9785858,0.0002193855,0.00002100238,0.02057803,0.0001480702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2278802,0.002928157,0.4422182,0.0006187865,0.004220656,0.000935202,0.00002673142,0.00703261,0.3141395],"genre_scores_gemma":[0.9933022,0.000004112482,0.002974648,0.000007980615,0.0008909934,0.0001963934,0.0001340132,0.00004104248,0.002448665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7654219,"threshold_uncertainty_score":0.4603405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044164532461519,"score_gpt":0.252342093700836,"score_spread":0.2419004483762209,"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."}}