{"id":"W1961611971","doi":"10.24908/pceea.v0i0.5897","title":"CURRICULUM MAPPING IN ENGINEERING EDUCATION: LINKING ATTRIBUTES, OUTCOMES AND ASSESSMENTS","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Accreditation; Curriculum; Engineering education; Science and engineering; Medical education; Engineering ethics; Engineering; Computer science; Engineering management; Psychology; Pedagogy; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02027066,0.0007760478,0.0005723553,0.01033121,0.002108114,0.007465288,0.001683257,0.0006539308,0.002751534],"category_scores_gemma":[0.05458473,0.0005196225,0.0004378498,0.01294012,0.00196726,0.006980755,0.006968423,0.002352461,0.0006760905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007186517,"about_ca_system_score_gemma":0.01898018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07713643,"about_ca_topic_score_gemma":0.1149916,"domain_scores_codex":[0.9834991,0.00896343,0.0008779044,0.001131319,0.004862237,0.0006659655],"domain_scores_gemma":[0.9703015,0.01145112,0.003229106,0.002168136,0.01110823,0.001741836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000456776,0.0004063454,0.04987811,0.0006237457,0.00004264765,0.00006421664,0.006676659,0.004871999,0.0007903925,0.01820217,0.005806638,0.9125913],"study_design_scores_gemma":[0.0001000412,0.0006884481,0.3107314,0.003688377,0.0002112974,0.0004637727,0.0404295,0.06689864,0.01888137,0.2288541,0.3284788,0.0005743625],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2184643,0.004467667,0.6647496,0.01105295,0.0006696843,0.002413041,0.00272399,0.003118582,0.09234016],"genre_scores_gemma":[0.5823221,0.002639541,0.402958,0.0004306956,0.00007991296,0.0009170087,0.002240418,0.0003323741,0.008080042],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07713643,"threshold_uncertainty_score":0.1533749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017813018960786,"score_gpt":0.2245594959305747,"score_spread":0.2143813657409668,"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."}}