{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001973713,0.001121283,0.0005015229,0.001291605,0.002164027,0.004369379,0.001897589,0.002262219,0.008273085],"category_scores_gemma":[0.001938844,0.0006293143,0.001392854,0.0008718407,0.0054753,0.005971493,0.002902178,0.00344196,0.00226931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001949333,"about_ca_system_score_gemma":0.001720365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001774961,"about_ca_topic_score_gemma":0.001740484,"domain_scores_codex":[0.9984339,0.0005584856,0.0001343263,0.0002494536,0.0004994037,0.000124309],"domain_scores_gemma":[0.9989649,0.0003471637,0.0000487453,0.0002396424,0.0002947376,0.0001048107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002845536,0.000006375544,0.00001888871,0.00003330024,0.000002398457,0.00002469991,0.0001725739,0.0006541224,0.0003546284,0.9938386,0.0007017328,0.004189862],"study_design_scores_gemma":[0.00001600863,0.00002372235,0.0000325845,0.00007122717,0.000007618054,0.0001362548,0.0001656922,0.01040479,0.0007017361,0.913442,0.0749866,0.00001181862],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002463367,0.000921503,0.9213542,0.002783288,0.0003673076,0.0001116023,0.00007812378,0.000196952,0.07172373],"genre_scores_gemma":[0.2173709,0.002010095,0.7342488,0.001381815,0.0003982508,0.0008937207,0.0002641956,0.0002424795,0.04318969],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008273085,"threshold_uncertainty_score":0.02767628,"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."}}