{"id":"W1829152921","doi":"10.24908/pceea.v0i0.3977","title":"APPLICATION OF DESIGN METHODOLOGY FOR EDUCATION","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Computer science; Recursion (computer science); Class (philosophy); Function (biology); Curriculum; Iterative design; Product (mathematics); Software engineering; Product design; Design methods; Management science; Systems engineering; Programming language; Artificial intelligence; Engineering; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0009551921,0.0001349538,0.0001771539,0.000333984,0.00007538054,0.00002265316,0.0002952037,0.0001723349,0.00003240734],"category_scores_gemma":[0.001483082,0.0001448311,0.00008021724,0.0004917268,0.00001521447,0.0002531727,0.000007580504,0.0001390742,0.000007104034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009180232,"about_ca_system_score_gemma":0.0009053575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002807813,"about_ca_topic_score_gemma":0.0005647067,"domain_scores_codex":[0.9991058,0.00001731682,0.0003576233,0.0001442069,0.0001542031,0.0002208888],"domain_scores_gemma":[0.9983401,0.00020824,0.0003511551,0.0001313882,0.0008335627,0.0001355307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006479779,0.0008541097,0.0481707,0.003344387,0.0008299785,2.271741e-8,0.02136852,0.008969044,0.1327696,0.3880996,0.3026882,0.09284095],"study_design_scores_gemma":[0.000834792,0.0001537247,0.2184909,0.0003382623,0.0006768159,0.00001789812,0.003536334,0.04228566,0.3125132,0.01724276,0.402475,0.00143471],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1965173,0.003153058,0.5633997,0.01198468,0.04368936,0.01610775,0.0002799792,0.001789626,0.1630785],"genre_scores_gemma":[0.9234371,0.00001744246,0.07481013,0.0001456707,0.0001603582,0.0004143073,0.00001147964,0.00004691053,0.0009566591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7269198,"threshold_uncertainty_score":0.5906039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04580097997652348,"score_gpt":0.2576756426657843,"score_spread":0.2118746626892608,"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."}}