{"id":"W2167402367","doi":"10.1109/te.2011.2107555","title":"Mechatronics Learning Studio: From “Play and Learn” to Industry-Inspired Green Energy Applications","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Education","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Mechatronics; Studio; Curriculum; Engineering; Engineering management; Robotics; Engineering education; Energy (signal processing); Computer science; Systems engineering; Artificial intelligence; Robot; Electrical engineering; Pedagogy; Psychology","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":[0.001121641,0.0003573569,0.000207335,0.000298487,0.0005394537,0.001660841,0.0008574083,0.0006490911,0.01021876],"category_scores_gemma":[0.001277899,0.0001617713,0.0002535066,0.0002106116,0.0006893937,0.001152687,0.002238377,0.001206624,0.003287339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003031609,"about_ca_system_score_gemma":0.0006981582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001411092,"about_ca_topic_score_gemma":0.0004028213,"domain_scores_codex":[0.9994174,0.0001946733,0.00002026833,0.00008068897,0.0002152379,0.0000716841],"domain_scores_gemma":[0.9992822,0.0001663893,0.00003653449,0.0000680564,0.00009814955,0.0003486782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005370317,0.003858432,0.005192038,0.0009284544,0.00002839283,0.0003818136,0.005819253,0.002760038,0.06508703,0.03876837,0.02240998,0.8542292],"study_design_scores_gemma":[0.0003028739,0.006116945,0.02267396,0.0007035382,0.00004443683,0.003960047,0.004936327,0.01789812,0.06942791,0.02540946,0.8483554,0.0001710446],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3663279,0.002632061,0.3472088,0.005511676,0.001156812,0.001402238,0.0002011047,0.004754462,0.2708048],"genre_scores_gemma":[0.59234,0.002177813,0.2870951,0.001881023,0.0002867141,0.0008297077,0.0003814706,0.0006111483,0.114397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01021876,"threshold_uncertainty_score":0.03418517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125831339632421,"score_gpt":0.2213253122062732,"score_spread":0.210066998809949,"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."}}