{"id":"W2910410231","doi":"10.24908/pceea.v0i0.12988","title":"Utilizing the CDIO syllabus to reveal CEAB Graduate Attribute Pathways in a Mechanical Engineering Curriculum","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Coursework; Syllabus; CDIO; Curriculum; Flexibility (engineering); Engineering ethics; Pedagogy; Engineering; Mathematics education; Sociology; Psychology; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008252508,0.0003068275,0.0002729793,0.0005007776,0.000166457,0.0001432997,0.0005942681,0.0001902161,0.00002236687],"category_scores_gemma":[0.001156122,0.000275795,0.0001050911,0.001758637,0.0000133457,0.0001993985,0.00005641451,0.000497752,0.00004588712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00341369,"about_ca_system_score_gemma":0.0004261203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001610522,"about_ca_topic_score_gemma":0.00307739,"domain_scores_codex":[0.9980013,0.000008833626,0.0005388756,0.0002854387,0.000489993,0.0006755483],"domain_scores_gemma":[0.998676,0.00005850635,0.0001329923,0.0002121114,0.0005648545,0.0003555255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001361624,0.0005811692,0.1030246,0.002487345,0.0009464981,0.000003354108,0.03111783,0.1628728,0.05820646,0.09182029,0.5408383,0.008087752],"study_design_scores_gemma":[0.001006501,0.0001143976,0.6422069,0.002282922,0.000174891,0.0000647842,0.004436917,0.1512932,0.03617921,0.0003836178,0.1591343,0.002722353],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985743,0.0001248504,0.0001552647,0.00473142,0.005949599,0.0008291913,0.00002493985,0.0003790409,0.002062637],"genre_scores_gemma":[0.9970323,0.00001101084,0.001690052,0.000203818,0.0004333468,0.0002109757,0.000008033496,0.00007494157,0.000335519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5391823,"threshold_uncertainty_score":0.9999694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264922449849745,"score_gpt":0.2076720240606629,"score_spread":0.1950227995621654,"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."}}