{"id":"W4242732822","doi":"10.1109/tii.2015.2396693","title":"IEEE Industrial Electronics Society Information","year":2015,"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; Engineering; Manufacturing engineering; Computer science; 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":[0.0005500822,0.0002156303,0.0001939811,0.0001977224,0.0001939244,0.0003706485,0.0005721205,0.0003468957,0.00001027769],"category_scores_gemma":[0.00003283584,0.0002166748,0.0001407085,0.0007451922,0.00003294594,0.002760608,0.000004688863,0.0008658674,0.0002051309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004055051,"about_ca_system_score_gemma":0.0009521144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000210688,"about_ca_topic_score_gemma":0.000001985746,"domain_scores_codex":[0.9981781,0.00002472048,0.0006972975,0.00009834271,0.0006007089,0.0004008028],"domain_scores_gemma":[0.9987895,0.0001100658,0.0001903408,0.0004084884,0.0002220456,0.0002795769],"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":[0.00002789249,0.0001198772,0.000006558824,0.0000134242,0.00009728802,3.440604e-7,0.005771894,0.8816785,0.00001318182,0.005799812,0.04051964,0.06595154],"study_design_scores_gemma":[0.003662582,0.0005298721,0.000002766515,0.00006641121,0.00004881844,0.000033012,0.001485785,0.8592193,0.00745771,0.0006605819,0.126136,0.0006971722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005558914,0.000006035467,0.9864222,0.0005820931,0.005330167,0.0002607268,0.0000163792,0.0002268601,0.001596631],"genre_scores_gemma":[0.9440209,0.00007433237,0.05269005,0.001539003,0.00110996,0.0001019571,0.00003608841,0.00003214791,0.0003956161],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.938462,"threshold_uncertainty_score":0.8835741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07669049980810946,"score_gpt":0.2550294531035661,"score_spread":0.1783389532954566,"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."}}