{"id":"W1905287611","doi":"10.24908/pceea.v0i0.3978","title":"MACHINE ELEMENTS - REVISION AND OUTLOOK FOR DESIGN 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":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Computer science; Process (computing); Task (project management); Property (philosophy); Selection (genetic algorithm); Industrial engineering; Creativity; Engineering design process; Systems engineering; Artificial intelligence; Engineering; Mechanical engineering; Programming language","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":[0.0006390861,0.0001486011,0.0001332204,0.0002556204,0.0001316296,0.00007638723,0.0001929456,0.0001171439,0.00005614149],"category_scores_gemma":[0.000900779,0.0001527871,0.00004799899,0.0002863835,0.000009145167,0.0003587245,0.00001031078,0.0001445529,0.000008326881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00092865,"about_ca_system_score_gemma":0.0005259464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001370733,"about_ca_topic_score_gemma":0.0003746115,"domain_scores_codex":[0.9991459,0.000008374651,0.0002970368,0.0001521414,0.0001621264,0.0002344538],"domain_scores_gemma":[0.998997,0.00007267475,0.00021041,0.00009567072,0.000434059,0.0001901823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004115324,0.0005435041,0.0810048,0.002659727,0.0005688118,6.200671e-8,0.01450987,0.0009603458,0.009719389,0.07736275,0.6920395,0.1205901],"study_design_scores_gemma":[0.0006890706,0.00009271651,0.1038748,0.0004929344,0.0003411313,0.00001337419,0.001323687,0.02595673,0.01041015,0.003039369,0.8527616,0.001004438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4336579,0.01832512,0.04068068,0.0342119,0.0763384,0.02813675,0.0006231752,0.003640854,0.3643852],"genre_scores_gemma":[0.9632254,0.0001201448,0.03164074,0.0003933375,0.0002121993,0.0002000662,0.00001872877,0.00006708405,0.004122328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5295674,"threshold_uncertainty_score":0.6230478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01699663958724395,"score_gpt":0.2205780460247634,"score_spread":0.2035814064375195,"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."}}