{"id":"W2148170659","doi":"10.24908/pceea.v0i0.3705","title":"A CASE STUDY IN SYSTEMATIC AND METHODICAL DESIGN ENGINEERING","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Automotive industry; Process (computing); Engineering design process; Set (abstract data type); Manufacturing engineering; Creativity; Engineering; Computer science; Field (mathematics); Systems engineering; Mechanical 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":[0.00143584,0.0001685872,0.0002439668,0.0004715142,0.00006802867,0.00008235693,0.0001773999,0.000121367,0.00001876408],"category_scores_gemma":[0.001817208,0.0001693509,0.00003807075,0.0006190466,0.00000730513,0.0003074674,0.00001429368,0.0002847509,0.000004792315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001102559,"about_ca_system_score_gemma":0.0002473609,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007446719,"about_ca_topic_score_gemma":0.003297061,"domain_scores_codex":[0.9989571,0.00003004237,0.0003942164,0.0001554258,0.0001967711,0.0002664646],"domain_scores_gemma":[0.999137,0.0002158538,0.0001477892,0.0001069909,0.0001855052,0.0002068461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000353076,0.002074154,0.5792364,0.04724285,0.002122261,0.0001108876,0.2719468,0.03997181,0.008680128,0.02339545,0.02209397,0.003089935],"study_design_scores_gemma":[0.002778049,0.0003113872,0.5597751,0.00589675,0.001472482,0.003067658,0.05023267,0.3618334,0.007575362,0.0005886472,0.002879752,0.003588714],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923006,0.0002795927,0.0007862991,0.0002423265,0.001817877,0.001902469,0.000004326375,0.0002204961,0.002446],"genre_scores_gemma":[0.9938874,0.000006604725,0.00560713,0.00003716371,0.00004512835,0.0001940356,4.112023e-7,0.00003968984,0.0001825006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3218616,"threshold_uncertainty_score":0.9991628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03373994850484463,"score_gpt":0.2353526661908316,"score_spread":0.2016127176859869,"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."}}