{"id":"W1954521777","doi":"10.24908/pceea.v0i0.5717","title":"Constructing a DC Brushless Motor- an Experiential Engineering Clinic Activity for Mechanical Students","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Experiential learning; DC motor; Power (physics); Test (biology); Motor activity; Experiential education; Psychology; Computer science; Mathematics education; Engineering; Electrical engineering; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007170978,0.000299854,0.0003219161,0.0003173473,0.0001180581,0.0001990163,0.0005812388,0.0002736513,0.00001505992],"category_scores_gemma":[0.001270437,0.0003467934,0.0001428147,0.0004103846,0.00001640082,0.0005248536,0.00005685606,0.0004123671,0.00000721153],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004241931,"about_ca_system_score_gemma":0.0003253602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008832533,"about_ca_topic_score_gemma":0.0005693729,"domain_scores_codex":[0.9981921,0.000008558959,0.0004212728,0.00029688,0.0005287209,0.0005525007],"domain_scores_gemma":[0.998583,0.00008397007,0.0002066973,0.0001791716,0.0004315436,0.0005156603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001146013,0.0008548928,0.1418556,0.002872806,0.001861169,0.00000156584,0.01792261,0.2292951,0.550029,0.02358624,0.02436445,0.007241833],"study_design_scores_gemma":[0.003487482,0.0003657845,0.03930345,0.0009711442,0.0003283798,0.00004588034,0.007230452,0.6413768,0.2651111,0.0001847037,0.03856998,0.003024835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924004,0.00007821753,0.00084242,0.0001458229,0.004688564,0.0006673022,0.00003969316,0.0004437408,0.0006938289],"genre_scores_gemma":[0.991162,0.000002815174,0.0076289,0.00002670353,0.0004478519,0.0002390629,0.00001424074,0.000125734,0.0003527139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4120817,"threshold_uncertainty_score":0.9998984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422874074989615,"score_gpt":0.2670217400034739,"score_spread":0.2527929992535777,"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."}}