{"id":"W3002573769","doi":"10.24908/pceea.vi0.13796","title":"RE-ENGINEERING SUCCESS: YEAR TWO OF A CROSS-COURSE ASSIGNMENT TO DEVELOP CRITICAL THINKING AND COMMUNICATION SKILLS IN A LAB SETTING","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Deliverable; Grading (engineering); Schedule; Curriculum; Computer science; Teamwork; Project-based learning; Engineering management; Mathematics education; Psychology; Engineering; Pedagogy; Systems engineering; Management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008270819,0.0001727701,0.0002246941,0.0003621215,0.0000607882,0.0001043172,0.0003205416,0.0001614877,0.00002134234],"category_scores_gemma":[0.001493301,0.0001858476,0.00003696237,0.0009386512,0.00001901387,0.0003075958,0.00005482484,0.0003247463,0.000006899504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001275201,"about_ca_system_score_gemma":0.0003034524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001492248,"about_ca_topic_score_gemma":0.001098252,"domain_scores_codex":[0.9987027,0.000006951062,0.0004322149,0.0001818571,0.0003313,0.0003449738],"domain_scores_gemma":[0.9989468,0.0001612459,0.0001096262,0.0001517448,0.0004278521,0.0002026925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006372012,0.0002162423,0.826698,0.004147897,0.0001814014,2.09393e-7,0.01321859,0.1072508,0.01833757,0.02095481,0.006569485,0.002418675],"study_design_scores_gemma":[0.0005295583,0.00002646829,0.944204,0.002054209,0.0000472145,0.000003378743,0.0009267741,0.04022618,0.006921745,0.0003703666,0.004096539,0.0005935637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943959,0.0001941548,0.0001297391,0.002514158,0.001084354,0.0003888028,0.00001620437,0.0001050824,0.001171624],"genre_scores_gemma":[0.9930781,0.00001590983,0.006497968,0.00008109431,0.00007056905,0.00005485431,0.000008362395,0.00004344498,0.0001497605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.117506,"threshold_uncertainty_score":0.7578644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003301357116857502,"score_gpt":0.2373831809521435,"score_spread":0.234081823835286,"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."}}