{"id":"W1937131306","doi":"10.24908/pceea.v0i0.3680","title":"THE GLOBAL ENGINEER: AN IMPLEMENTATION OF OUTCOMES BASED ACCREDITATION REQUIREMENTS","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":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Engineers Without Borders Canada","funders":"","keywords":"Accreditation; Outcome (game theory); Engineering management; Best practice; Engineering education; Engineering; Engineering ethics; Political science; Law","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":[0.0004538557,0.0001865451,0.0001591154,0.0001732807,0.0001365191,0.00005889564,0.0003979022,0.0001085807,0.00004193252],"category_scores_gemma":[0.0002434837,0.0001600829,0.00008507072,0.0005891965,0.00001575015,0.0003044754,0.00001312385,0.0001288575,0.000004448148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002035077,"about_ca_system_score_gemma":0.0005213551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002699391,"about_ca_topic_score_gemma":0.004454203,"domain_scores_codex":[0.9986846,0.000007300548,0.000462864,0.0001409128,0.0003895773,0.0003146944],"domain_scores_gemma":[0.9988562,0.00003335185,0.0002442431,0.0001547902,0.0005302404,0.0001811051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000501566,0.0001839029,0.9211532,0.0005528989,0.0004630062,7.926168e-8,0.005940855,0.00983671,0.002094004,0.03220527,0.01813925,0.009425834],"study_design_scores_gemma":[0.0002464912,0.00002167885,0.9780777,0.00006092783,0.00005490113,8.281274e-7,0.001137306,0.006031182,0.007557435,0.0002114437,0.006337751,0.0002623434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872573,0.0001379976,0.0004028097,0.001088431,0.005848313,0.0007878119,0.00007236309,0.0003019485,0.004103044],"genre_scores_gemma":[0.9965822,0.00001051775,0.002992624,0.00006120902,0.00006562095,0.0001122864,0.00002205724,0.00003239057,0.0001211427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05692453,"threshold_uncertainty_score":0.652799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147615190730412,"score_gpt":0.2412644309959904,"score_spread":0.2297882790886863,"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."}}