{"id":"W3109891917","doi":"10.1109/ccece47787.2020.9255825","title":"A Cloud-based Architecture for Automated Grading of Computer-Aided Design Student Work Using Deep Learning","year":2020,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Cloud computing; Computer science; Convolutional neural network; Deep learning; Grading (engineering); Implementation; Artificial intelligence; Software engineering; Software; Architecture; Computer architecture; Task (project management); Machine learning; Computer engineering; Multimedia; Operating system; Systems engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001379445,0.000126177,0.0001945117,0.00004203302,0.0001620408,0.00009868925,0.0005507664,0.00003663799,0.000003033654],"category_scores_gemma":[0.00001072775,0.0001089348,0.00008717838,0.0005510867,0.00002300358,0.00006178136,0.0001269761,0.0001211274,0.000001867339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001654259,"about_ca_system_score_gemma":0.00002723194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000369363,"about_ca_topic_score_gemma":7.191157e-7,"domain_scores_codex":[0.9989732,0.00008062109,0.0002441593,0.0003215918,0.000154789,0.0002256746],"domain_scores_gemma":[0.9991899,0.0003321145,0.0001295148,0.0001912055,0.0000512142,0.0001061142],"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":[0.00001416616,0.00003264785,0.0001290686,0.0000169121,0.00001532098,0.000001625057,0.000392579,0.9789199,0.002527747,0.001866151,0.0002985756,0.01578535],"study_design_scores_gemma":[0.000331356,0.0001839686,0.0001830895,0.0000290025,0.000009657696,0.000001486701,0.00001286954,0.9941908,0.004419191,0.0002138502,0.00029984,0.0001248849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03779224,0.0000271205,0.9598975,0.001126173,0.00007519833,0.0004646489,3.857117e-7,0.0006068991,0.000009905573],"genre_scores_gemma":[0.5283281,4.270921e-7,0.4711331,0.0004330868,0.00007983315,0.00001435659,0.00000103064,0.000007588505,0.000002570671],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4905358,"threshold_uncertainty_score":0.4442233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05352751151852896,"score_gpt":0.2931374961487213,"score_spread":0.2396099846301923,"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."}}