{"id":"W2128033157","doi":"10.24908/pceea.v0i0.5827","title":"DESIGN OF A ROBOTIC ARM FOR TEACHING INTEGRATED DESIGN","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Mechatronics Education and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Robotic arm; Automation; Integrated design; Process (computing); Software; Scalability; Computer science; Electronic design automation; Focus (optics); Systems engineering; Engineering design process; Embedded system; Engineering; Software engineering; Artificial intelligence; Operating system","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":[0.0004032601,0.0006711761,0.0002587173,0.0003392866,0.0003834149,0.0006511205,0.0009474267,0.0009957525,0.01200243],"category_scores_gemma":[0.000616466,0.000417758,0.0004808699,0.0001854327,0.0003495565,0.0004742972,0.0005546758,0.0007445262,0.002798857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004143208,"about_ca_system_score_gemma":0.0007355613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006541082,"about_ca_topic_score_gemma":0.0009245001,"domain_scores_codex":[0.9994724,0.0000684853,0.00002192461,0.00008065263,0.0003103891,0.0000461394],"domain_scores_gemma":[0.9997366,0.00006181276,0.00003328975,0.00005212945,0.00008570663,0.00003055375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001809289,0.0003819729,0.001199734,0.000568481,0.00003999102,0.0005629457,0.0007214104,0.03872983,0.5502297,0.02649221,0.006805368,0.3740875],"study_design_scores_gemma":[0.0002791279,0.002361966,0.005793042,0.0002301904,0.0001283491,0.00197173,0.0002171084,0.2494889,0.3933362,0.00669445,0.3393536,0.0001454956],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03290044,0.0002238527,0.9340029,0.0002531076,0.0001289695,0.0003826034,0.00006380799,0.003724856,0.02831945],"genre_scores_gemma":[0.1850654,0.0002636506,0.7822115,0.0001639217,0.00003428751,0.0005063758,0.0001111367,0.0002208839,0.03142276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01200243,"threshold_uncertainty_score":0.04015213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02182693459870652,"score_gpt":0.2274870744557208,"score_spread":0.2056601398570143,"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."}}