{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02798149,0.002082667,0.001904091,0.005580013,0.002065724,0.009877906,0.003544667,0.003841724,0.01984236],"category_scores_gemma":[0.03591778,0.001182064,0.002514685,0.005652887,0.009061466,0.006806742,0.004731525,0.00690393,0.006984465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005557383,"about_ca_system_score_gemma":0.01045016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003801427,"about_ca_topic_score_gemma":0.002041809,"domain_scores_codex":[0.9669622,0.01973572,0.003005965,0.002152601,0.007616528,0.0005270009],"domain_scores_gemma":[0.9623238,0.02581251,0.001315039,0.005806206,0.004226007,0.0005165762],"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":[0.00002372862,0.00005330658,0.0002834926,0.001372924,0.00008042261,0.0001627196,0.001214862,0.004230179,0.000434212,0.858418,0.0130004,0.1207258],"study_design_scores_gemma":[0.00004669948,0.00005513222,0.0002091549,0.001531177,0.00003960424,0.0002509597,0.0004179789,0.006321966,0.0005753029,0.6256089,0.3648978,0.00004534119],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006323665,0.007454929,0.9160753,0.004788298,0.001152002,0.0007928858,0.0003042483,0.0009540225,0.06784597],"genre_scores_gemma":[0.02941901,0.008419323,0.9450154,0.001387248,0.0006123232,0.00234612,0.000585417,0.0004816796,0.01173348],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02798149,"threshold_uncertainty_score":0.1479821,"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."}}