{"id":"W4231674514","doi":"10.1109/tie.2013.2286516","title":"IEEE Industrial Electronics Society Information","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Electronics; Engineering; Computer science; Manufacturing 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000313355,0.0002923232,0.0002333952,0.000190402,0.0003537818,0.0004308493,0.0006986333,0.0004667275,0.00008829425],"category_scores_gemma":[0.00001848154,0.0003064348,0.0002256447,0.000909492,0.00003482656,0.001820069,0.000003963995,0.001555104,0.0002932899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007045605,"about_ca_system_score_gemma":0.001185376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000818117,"about_ca_topic_score_gemma":0.00001172519,"domain_scores_codex":[0.9978167,0.00004874565,0.0005057286,0.0003133977,0.0005144611,0.0008009478],"domain_scores_gemma":[0.9988052,0.0001631397,0.0001412426,0.0004960441,0.0001907126,0.0002036969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004450132,0.0004624714,0.000011013,0.00001691572,0.0003661529,7.644962e-7,0.0009554303,0.5526672,0.002617767,0.02800279,0.04837835,0.3664767],"study_design_scores_gemma":[0.005711233,0.001745157,0.00002895512,0.00009611153,0.0001329579,0.00005917372,0.0002117577,0.7053777,0.07538315,0.00488518,0.2044733,0.001895332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0137543,0.00006199007,0.9793432,0.002197655,0.003326414,0.0005377876,0.000008387477,0.0002977813,0.000472442],"genre_scores_gemma":[0.9922349,0.0003114268,0.005142153,0.0007184983,0.0008102466,0.000233042,0.00001674798,0.0000377162,0.0004952797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9784806,"threshold_uncertainty_score":0.9999388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02582666220815453,"score_gpt":0.2236042647407663,"score_spread":0.1977776025326118,"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."}}