{"id":"W4246639615","doi":"10.1109/tii.2014.2321468","title":"IEEE Industrial Electronics Society Information","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","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; Computer science; Engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0005429682,0.0002199651,0.0002019569,0.0001932986,0.0002961919,0.0003634999,0.0005815013,0.0003481158,0.00001848687],"category_scores_gemma":[0.00003128891,0.0002214129,0.0001654277,0.0006315273,0.00003312487,0.002159375,0.000004035029,0.0008812699,0.0001787599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002231312,"about_ca_system_score_gemma":0.0003418772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001336395,"about_ca_topic_score_gemma":0.000001784847,"domain_scores_codex":[0.9982691,0.00003086188,0.0007040616,0.0001049563,0.0004818508,0.0004091946],"domain_scores_gemma":[0.9988496,0.0002052617,0.0001995844,0.0004454271,0.0001321837,0.0001679358],"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":[0.00001757566,0.0001093575,0.000006074148,0.00002398144,0.00009481738,9.818344e-8,0.002776391,0.782539,0.00003963436,0.01619262,0.01496063,0.1832398],"study_design_scores_gemma":[0.001660599,0.0002964296,0.000004349293,0.00005090174,0.00003049145,0.00001183688,0.0002351695,0.8938229,0.006540868,0.0004285969,0.09647513,0.0004427294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004922265,0.000002302266,0.9883375,0.0005216855,0.004102534,0.0002243627,0.0000106592,0.000220423,0.001658279],"genre_scores_gemma":[0.9632407,0.00005348136,0.03417021,0.001384298,0.000838281,0.00006498839,0.00002047507,0.00002214097,0.0002054015],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9583185,"threshold_uncertainty_score":0.9028957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03398597165046054,"score_gpt":0.2314836175473989,"score_spread":0.1974976458969383,"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."}}