{"id":"W1875836687","doi":"10.24908/pceea.v0i0.3748","title":"CREATING ENGINEERING DESIGN CASES FROM STUDENT WORK TERM AND DESIGN PROJECT REPORTS","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Pedagogy","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; General Motors of Canada; University of Waterloo","keywords":"Term (time); Engineering design process; Work (physics); Engineering management; Process (computing); Engineering; Computer science; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000512593,0.0002890661,0.0002618069,0.0004028182,0.0001260364,0.0001324285,0.0002420093,0.0002010408,0.00003755367],"category_scores_gemma":[0.0008928251,0.000303086,0.00007084566,0.0005558889,0.0000139986,0.0002676278,0.00002774197,0.0003036719,0.000003969568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001255767,"about_ca_system_score_gemma":0.0003994342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004396494,"about_ca_topic_score_gemma":0.0004022466,"domain_scores_codex":[0.9985653,0.00001083433,0.000459274,0.0002704507,0.0002800068,0.0004141635],"domain_scores_gemma":[0.9989215,0.0001842436,0.0002166492,0.0001763212,0.0002551634,0.0002460912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003135519,0.0004316411,0.6417966,0.001728208,0.00178574,0.00001611226,0.07711881,0.1261041,0.02869552,0.00353007,0.1128151,0.005946742],"study_design_scores_gemma":[0.0004344976,0.00007666543,0.9393135,0.001100333,0.0003278817,0.00009515303,0.001516529,0.01731798,0.02455968,0.0001115497,0.01358115,0.001565063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826937,0.00129723,0.003564215,0.0003200336,0.005784343,0.001789712,0.00003132718,0.0009440186,0.003575444],"genre_scores_gemma":[0.9790809,0.0000406382,0.01980352,0.00004307334,0.0002421201,0.0001825089,0.000008295375,0.00009342733,0.0005054871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2975169,"threshold_uncertainty_score":0.9999421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03094879388528134,"score_gpt":0.2371762241909987,"score_spread":0.2062274303057174,"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."}}