{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009787938,0.0008837673,0.0005849414,0.003234981,0.001492324,0.00533131,0.001794195,0.004501202,0.02827564],"category_scores_gemma":[0.01124609,0.0002818228,0.0007454224,0.002073924,0.003195062,0.005899326,0.002409583,0.003626172,0.009126534],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005862498,"about_ca_system_score_gemma":0.008338045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005870181,"about_ca_topic_score_gemma":0.007506953,"domain_scores_codex":[0.9971476,0.0008409056,0.0003099085,0.0002813658,0.00110548,0.000314718],"domain_scores_gemma":[0.9875014,0.001808071,0.0003233214,0.001422381,0.007331166,0.001613533],"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":[0.00007567873,0.0001417889,0.0005164631,0.0006484963,0.000009243628,0.0001607125,0.0007422486,0.001049522,0.0006915674,0.188676,0.4292937,0.3779946],"study_design_scores_gemma":[0.00000556043,0.0000287138,0.0003007946,0.0006942783,0.00000316631,0.0001256023,0.0004318096,0.0002769985,0.0001227173,0.01772975,0.9802705,0.00001015855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.005689458,0.3408993,0.03018742,0.2908489,0.134101,0.000159308,0.0007232713,0.001007004,0.1963843],"genre_scores_gemma":[0.1113959,0.2964912,0.06027583,0.03565605,0.03611722,0.0002475592,0.001938003,0.0005523078,0.4573259],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9941375,"threshold_uncertainty_score":0.09459144,"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."}}