{"id":"W2898503720","doi":"10.3390/proceedings2211365","title":"Adapting to Engineering Education Vision 2020","year":2018,"lang":"en","type":"article","venue":"","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Context (archaeology); Multidisciplinary approach; Engineering ethics; Engineering; Sociology; Social science","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":[0.00006657091,0.00008771095,0.0000617164,0.00008135774,0.00002474721,0.00002446615,0.00008005844,0.00004940567,0.0002727739],"category_scores_gemma":[0.00003324648,0.00008447888,0.00001682749,0.0003013441,0.000007256337,0.00008462877,0.00001606489,0.00006625758,0.0005539743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004097142,"about_ca_system_score_gemma":0.00001671936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001098366,"about_ca_topic_score_gemma":0.000003208414,"domain_scores_codex":[0.9995182,0.000001872415,0.0001132977,0.0001069927,0.0000893273,0.0001703617],"domain_scores_gemma":[0.9996751,0.00001283935,0.000004401697,0.0001227348,0.00003378237,0.000151149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005726851,0.00009015988,0.0001376529,0.0005103989,0.00003547284,8.133757e-7,0.00115157,0.009141493,0.1863357,0.002815846,0.4459131,0.3538621],"study_design_scores_gemma":[0.0001480103,0.0001709345,0.01406945,0.0002991125,0.00001219441,0.00001697487,0.0001921079,0.4458206,0.02958984,0.0001113514,0.5089328,0.0006365749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5614792,0.0003227458,0.3743628,0.002022819,0.01040266,0.0003197063,0.000002466753,0.002945116,0.04814253],"genre_scores_gemma":[0.9753057,0.000006575431,0.02273982,0.0001551311,0.001223543,0.00001900953,0.000005623563,0.00002549663,0.0005191363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4366791,"threshold_uncertainty_score":0.7120404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003376825398323346,"score_gpt":0.2153938509130462,"score_spread":0.2120170255147229,"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."}}