{"id":"W1966689344","doi":"10.1109/icelmach.2010.5608053","title":"A remote access platform for evaluating electric motors","year":2010,"lang":"en","type":"article","venue":"","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Emulation; Software; Computer science; Benchmark (surveying); Electric motor; Embedded system; The Internet; Operating system; Engineering; Electrical engineering","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":[0.001126732,0.001013464,0.0005851999,0.001114841,0.0002990439,0.0005586618,0.001725933,0.0005774436,0.01125936],"category_scores_gemma":[0.003047754,0.000285995,0.0002463782,0.0004982193,0.000331934,0.001418459,0.001196016,0.0006149643,0.001589719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003207141,"about_ca_system_score_gemma":0.0003556064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003643958,"about_ca_topic_score_gemma":0.0004308389,"domain_scores_codex":[0.9989713,0.0002032092,0.00005483786,0.0001187261,0.0005835634,0.00006837521],"domain_scores_gemma":[0.9984054,0.0005081657,0.0001230792,0.0003575309,0.0004698071,0.0001360627],"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":[0.00115134,0.001331744,0.003880949,0.0004141536,0.00005002267,0.0004189622,0.0003481666,0.01706759,0.7062791,0.003900075,0.004245351,0.2609126],"study_design_scores_gemma":[0.0003794804,0.009808933,0.01409933,0.00005729843,0.00007471613,0.001078056,0.0002152651,0.1379288,0.8138502,0.001738284,0.02064727,0.0001224368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4985138,0.0002491877,0.4675899,0.0001337625,0.0001189609,0.001437142,0.0007877837,0.01647507,0.01469435],"genre_scores_gemma":[0.8641369,0.0001667358,0.123924,0.00005313277,0.0000372879,0.0006984724,0.0009023612,0.0006224407,0.009458617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01125936,"threshold_uncertainty_score":0.03766626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02508743949579735,"score_gpt":0.3210772379248254,"score_spread":0.2959897984290281,"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."}}