{"id":"W1851230555","doi":"10.24908/pceea.v0i0.3793","title":"EFFECTIVELY ASSESSING PROFESSIONAL ENGINEERING SKILLS","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Acronym; Vocabulary; Software portability; Computer science; Process (computing); Mathematics education; Engineering ethics; Pedagogy; Psychology; Engineering","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":[0.0004029688,0.0002672557,0.0002216008,0.0004313605,0.0001355234,0.00009235738,0.0003664931,0.0002135954,0.00008285233],"category_scores_gemma":[0.0005412638,0.0002649415,0.000108426,0.0007576423,0.00001187922,0.0003962796,0.00002798532,0.0003945996,0.00002507767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002497943,"about_ca_system_score_gemma":0.0005182754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006782981,"about_ca_topic_score_gemma":0.0002775885,"domain_scores_codex":[0.9985812,0.000005500363,0.0003792441,0.0002078663,0.0003637108,0.0004624355],"domain_scores_gemma":[0.9989646,0.00004862962,0.0001601296,0.0001250973,0.0004106725,0.0002908606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007728628,0.001250386,0.5405512,0.005384097,0.001681642,0.000001748492,0.02940751,0.04536148,0.06348611,0.06063161,0.2398661,0.01237029],"study_design_scores_gemma":[0.0002343337,0.00001143276,0.9410502,0.0005853021,0.00006028313,0.00001040966,0.0003243383,0.008873564,0.02239919,0.0001019119,0.02568482,0.0006642371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672694,0.0002274292,0.0002644323,0.0004761493,0.01180992,0.0007538591,0.00001855149,0.0007469048,0.01843339],"genre_scores_gemma":[0.9932238,0.00001006478,0.004912199,0.00007920018,0.0001862285,0.0001520277,0.000007764971,0.00007884957,0.001349815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4004989,"threshold_uncertainty_score":0.9999803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004372542014036061,"score_gpt":0.1901333448610469,"score_spread":0.1857608028470109,"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."}}