{"id":"W2114049019","doi":"10.24908/pceea.v0i0.3870","title":"CASE STUDY 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":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Creativity; Product (mathematics); Product design; Computer science; Systems engineering; Engineering design process; Industrial design; Engineering; Software engineering; Manufacturing engineering; Risk analysis (engineering); Industrial engineering; Business; Mechanical engineering; Mathematics; Psychology; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000792648,0.000181625,0.0001702169,0.0005265345,0.00007344633,0.00006981572,0.0002619228,0.0001281728,0.00006541602],"category_scores_gemma":[0.0007880312,0.0001975128,0.00004987266,0.0008516182,0.000005900791,0.0003942843,0.0000135114,0.0003311203,0.00001638939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001782877,"about_ca_system_score_gemma":0.0003728527,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01435558,"about_ca_topic_score_gemma":0.008063388,"domain_scores_codex":[0.9989287,0.00001245929,0.0003507869,0.0001639732,0.0002115582,0.0003324679],"domain_scores_gemma":[0.9992021,0.00008971464,0.0001348887,0.0001279604,0.000249146,0.0001961726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002120919,0.00155393,0.7161422,0.001133126,0.0008108135,0.00006049163,0.1073578,0.08899447,0.006698453,0.009427675,0.06202137,0.005778454],"study_design_scores_gemma":[0.001729951,0.0001830885,0.8258983,0.0004451845,0.0003835469,0.0008937496,0.01948494,0.1101013,0.01203365,0.0003202099,0.02613338,0.002392628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879618,0.0000819292,0.0002304518,0.0002482939,0.002854456,0.0009769243,0.000005455543,0.0002446318,0.007396013],"genre_scores_gemma":[0.9966049,0.000005269831,0.002643887,0.00005060458,0.00008924809,0.0001293215,9.538064e-7,0.00005224919,0.0004235862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1097561,"threshold_uncertainty_score":0.9922079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02854108709465517,"score_gpt":0.2179909111520135,"score_spread":0.1894498240573584,"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."}}