{"id":"W2139732628","doi":"10.24908/pceea.v0i0.3911","title":"ALUMNI/AE SURVEYS AS TOOLS FOR DIRECTING CHANGE IN ENGINEERING CURRICULUM","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Curriculum; Set (abstract data type); Medical education; Engine department; Survey research; Engineering; Engineering management; Psychology; Pedagogy; Computer science; Medicine; Applied psychology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009539376,0.0002717326,0.0002617174,0.0005443299,0.00008591884,0.0001054694,0.0003630028,0.0002110904,0.0000459206],"category_scores_gemma":[0.001495569,0.0002969607,0.0001128074,0.0009115355,0.000007427972,0.0005128163,0.00002235474,0.0002946118,0.00001295624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0025105,"about_ca_system_score_gemma":0.000290642,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007934964,"about_ca_topic_score_gemma":0.004907294,"domain_scores_codex":[0.9984819,0.000007825925,0.0004586781,0.0002367401,0.0002601076,0.0005547899],"domain_scores_gemma":[0.9989991,0.00008128522,0.0001590536,0.0001274308,0.0003864193,0.000246756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006331628,0.0006709883,0.8208466,0.005201368,0.0007257684,0.000001126179,0.04147595,0.01976286,0.009130007,0.03421676,0.03849803,0.02946427],"study_design_scores_gemma":[0.000500017,0.00003129013,0.922671,0.000799584,0.00006242794,0.000009779706,0.001113158,0.03292263,0.01059467,0.000118467,0.03007878,0.001098251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825175,0.0003998861,0.0002577171,0.0007453744,0.007772563,0.001594977,0.00003713652,0.0005640191,0.006110767],"genre_scores_gemma":[0.9953552,0.0000238058,0.003100021,0.00007945077,0.000243913,0.0006900213,0.00001794892,0.00008666461,0.0004030069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1018244,"threshold_uncertainty_score":0.9999483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816440158520917,"score_gpt":0.2153156148705528,"score_spread":0.1971512132853436,"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."}}