{"id":"W4251642087","doi":"10.1109/tie.2015.2481641","title":"IEEE Industrial Electronics Society Information","year":2015,"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; Manufacturing engineering; Electrical engineering; Computer science","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":[0.0006076447,0.0002793286,0.0002364861,0.0001908517,0.0002500198,0.0002935778,0.0006841777,0.0004566413,0.00001310072],"category_scores_gemma":[0.00003370063,0.0002991631,0.0001950753,0.0009973038,0.00003388536,0.001324327,0.000004226154,0.00148864,0.0001090249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069306,"about_ca_system_score_gemma":0.002562185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003718723,"about_ca_topic_score_gemma":0.0000158972,"domain_scores_codex":[0.9977823,0.00005845468,0.000478224,0.0003034874,0.0006470644,0.0007304635],"domain_scores_gemma":[0.9987315,0.0001238503,0.0001399908,0.0004831511,0.0002221291,0.0002993757],"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":[0.0001002404,0.0003227325,0.000007201085,0.000007777706,0.0002196026,0.000001298002,0.001202581,0.8203639,0.0003721683,0.02348317,0.03371703,0.1202023],"study_design_scores_gemma":[0.007753976,0.002186996,0.000004815831,0.00007266338,0.0001384526,0.00007678104,0.0003049078,0.5068485,0.04655195,0.003951296,0.4305682,0.001541513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006808615,0.00009244478,0.9856135,0.00160358,0.004665238,0.0003208009,0.0000116255,0.0002929408,0.0005912805],"genre_scores_gemma":[0.9908825,0.0002436625,0.006363834,0.0006577206,0.001205688,0.0001054269,0.00002368254,0.0000432143,0.0004743093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9840738,"threshold_uncertainty_score":0.9999461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05404026031039618,"score_gpt":0.2488878628187093,"score_spread":0.1948476025083132,"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."}}