{"id":"W2887792599","doi":"10.24908/pceea.v0i0.7347","title":"Tron Days: Horizontal Integration and Authentic Learning","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mechatronics; Event (particle physics); Style (visual arts); Connection (principal bundle); Science and engineering; Mathematics education; Computer science; Engineering; Psychology; Visual arts; Engineering ethics; Artificial intelligence; Art; Mechanical 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":[],"consensus_categories":[],"category_scores_codex":[0.0002791992,0.0001439265,0.0001362172,0.0001813177,0.0003198143,0.0002331288,0.0002641194,0.0001624841,0.00001223044],"category_scores_gemma":[0.0008491232,0.0001388303,0.00004987981,0.0001319694,0.00002748124,0.0003398116,0.00002316607,0.0003107226,0.000006505154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009974446,"about_ca_system_score_gemma":0.0001377117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002669227,"about_ca_topic_score_gemma":0.001451677,"domain_scores_codex":[0.9992007,0.000002821384,0.0002020608,0.0001378886,0.0002061359,0.0002504093],"domain_scores_gemma":[0.9993544,0.00002154805,0.0001547572,0.0001135927,0.0001651704,0.0001905911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001591506,0.0003047726,0.3908359,0.005991394,0.0009694967,6.648551e-7,0.01948679,0.007515566,0.1800173,0.07197975,0.143973,0.1789094],"study_design_scores_gemma":[0.0003850177,0.00004314661,0.8573027,0.0006237707,0.0001172097,0.00001018989,0.0006701399,0.06995157,0.0100456,0.0005820958,0.05962177,0.00064677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869786,0.0002141186,0.0001009908,0.002682279,0.00365568,0.0002466651,0.000009466657,0.0002122098,0.005900024],"genre_scores_gemma":[0.9977278,0.00003582058,0.0004905148,0.00002094008,0.0002606174,0.0000347442,0.000008845519,0.00003277865,0.001387974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4664668,"threshold_uncertainty_score":0.5661335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004231793138683246,"score_gpt":0.1853699136790398,"score_spread":0.1811381205403566,"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."}}