{"id":"W4231542127","doi":"10.1109/tce.2020.2964888","title":"IEEE Consumer Electronics Society Board of Governors","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Electronics; Electrical engineering; Engineering; Telecommunications; 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":[0.00134334,0.000722501,0.000552257,0.001138923,0.002391044,0.003402394,0.0006419457,0.003957849,0.0947076],"category_scores_gemma":[0.002203577,0.0004429944,0.0004236286,0.0009627656,0.0006746571,0.001196608,0.0009129829,0.002618917,0.06259909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00171897,"about_ca_system_score_gemma":0.004822716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02938166,"about_ca_topic_score_gemma":0.04776524,"domain_scores_codex":[0.9988808,0.0001285278,0.00005682512,0.0001314462,0.0006056591,0.0001968234],"domain_scores_gemma":[0.9971809,0.000206005,0.00009581364,0.0001879425,0.002084603,0.0002447231],"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":[0.00005538245,0.00008003821,0.001079962,0.00005889705,0.000008189005,0.000104761,0.0000635364,0.0002550744,0.0009188012,0.00323096,0.9122826,0.0818619],"study_design_scores_gemma":[0.000008226276,0.00002597656,0.001878579,0.00004621924,0.000009092606,0.00003320163,0.00005947608,0.000379455,0.000369153,0.0004480256,0.9967347,0.000007823641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008233726,0.00600461,0.007424178,0.03779325,0.02163786,0.0003502999,0.001627474,0.001190699,0.9157379],"genre_scores_gemma":[0.01221149,0.002168402,0.0005987009,0.001943098,0.001372505,0.00007708537,0.0006629417,0.0001313875,0.9808344],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9052924,"threshold_uncertainty_score":0.3168285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582685720654566,"score_gpt":0.230709903164994,"score_spread":0.2148830459584483,"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."}}