{"id":"W2043698211","doi":"10.1016/j.mechatronics.2012.08.004","title":"A design paradigm for mechatronic systems","year":2012,"lang":"en","type":"article","venue":"Mechatronics","topic":"Design Education and Practice","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mechatronics; Hierarchy; Control engineering; Computer-automated design; Engineering; Domain (mathematical analysis); Parametric design; Parametric statistics; Systems engineering; Computer science; Systems design; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0007459796,0.0001447377,0.0001447377,0.00006185147,0.00007130069,0.00005714127,0.0001379661,0.00009355516,0.0000627086],"category_scores_gemma":[0.00003621304,0.0001484086,0.00005408358,0.0001071222,0.000006317012,0.000380037,0.000008093865,0.0001284269,0.0003209684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001802052,"about_ca_system_score_gemma":0.00005581965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003133134,"about_ca_topic_score_gemma":4.62673e-7,"domain_scores_codex":[0.999026,0.00005589845,0.0001806871,0.0001032059,0.0001141831,0.0005200435],"domain_scores_gemma":[0.9993094,0.0002414915,0.00003852158,0.0002521576,0.00002234168,0.0001360561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005180018,0.0001580556,0.00003283019,0.0003369104,0.0002461472,4.459095e-7,0.001515468,0.1208303,0.003824576,0.7960197,0.06763109,0.009352704],"study_design_scores_gemma":[0.0003706403,0.00005467649,0.000007662045,0.00001273635,0.00006924022,0.00001904164,0.000272437,0.165187,0.002237592,0.001868132,0.8295949,0.0003060001],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006560044,0.01078627,0.9829611,0.0001310738,0.00317288,0.000597039,0.000007473563,0.0003770898,0.001311071],"genre_scores_gemma":[0.9813285,0.0002409526,0.01673148,0.00007024806,0.0005120119,0.0003918562,0.00001683277,0.00007422322,0.0006338987],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9806725,"threshold_uncertainty_score":0.6051928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04572769665617022,"score_gpt":0.2664412039641919,"score_spread":0.2207135073080216,"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."}}