{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008624586,0.001237202,0.0008595568,0.003428827,0.001096623,0.003592809,0.00100879,0.001677226,0.2578226],"category_scores_gemma":[0.002011169,0.0006178207,0.0004557894,0.003527479,0.0004139664,0.002965359,0.001466183,0.001923515,0.1969521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009019201,"about_ca_system_score_gemma":0.001860127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003150864,"about_ca_topic_score_gemma":0.004013527,"domain_scores_codex":[0.9994465,0.0000565619,0.00003416203,0.00007519872,0.0003294386,0.00005820974],"domain_scores_gemma":[0.9983278,0.0001682718,0.000067496,0.0003690772,0.0009265203,0.0001409361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005492486,0.00008063251,0.0003468433,0.0001554658,0.00001256483,0.00006092094,0.0000345807,0.0006010538,0.002052256,0.008520148,0.5053445,0.4827361],"study_design_scores_gemma":[0.00001019801,0.0000388305,0.0008361529,0.00009032471,0.00001945652,0.0001053368,0.00002916817,0.001786014,0.001554512,0.003521495,0.9919946,0.00001381001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003037745,0.01033203,0.05625521,0.005797854,0.007643317,0.0002574974,0.003938959,0.006484312,0.9062532],"genre_scores_gemma":[0.01751096,0.006921921,0.009068574,0.0009565593,0.001393545,0.0001243126,0.007687923,0.0006051567,0.955731],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7421774,"threshold_uncertainty_score":0.8625025,"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."}}