{"id":"W1539363731","doi":"10.24908/pceea.v0i0.3755","title":"ASPECTS OF ANALYSIS AND SYNTHESIS IN 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":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Computer science; Task (project management); Process (computing); Engineering design process; Systems engineering; Action (physics); Management science; Engineering; Mechanical engineering","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":[0.0005774905,0.0001315271,0.0002159833,0.0008673712,0.00003182255,0.00003101374,0.0001847336,0.0001170256,0.00004881169],"category_scores_gemma":[0.001324131,0.0001428837,0.00006405093,0.00136436,0.000009539976,0.0002500323,0.000009681212,0.0001671622,0.000002426772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007364701,"about_ca_system_score_gemma":0.0002257906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005576372,"about_ca_topic_score_gemma":0.003057486,"domain_scores_codex":[0.9991775,0.000008477432,0.0003007407,0.0001260201,0.0001693897,0.0002178557],"domain_scores_gemma":[0.999237,0.0001626588,0.0001679172,0.00009222494,0.0002044462,0.0001357556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002460156,0.0005508433,0.7547581,0.002435906,0.003442001,8.561e-7,0.02626454,0.08231861,0.04103165,0.0714677,0.009788811,0.007916374],"study_design_scores_gemma":[0.0001389015,0.00001161631,0.9215659,0.000142972,0.0003917589,0.000002881009,0.0003510862,0.03341985,0.04185902,0.0002299268,0.001551492,0.0003345126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583211,0.0005344341,0.002057286,0.001008833,0.002127338,0.0009167522,0.00003153937,0.0002692983,0.0347334],"genre_scores_gemma":[0.9952517,0.0000307053,0.00447564,0.00002197566,0.00003095992,0.00004727451,0.000001082578,0.00002650373,0.0001141656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1668079,"threshold_uncertainty_score":0.8429843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01177378869749732,"score_gpt":0.1880409079840932,"score_spread":0.1762671192865959,"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."}}