{"id":"W4255933705","doi":"10.1109/cjece.2016.2639938","title":"Canadian Journal of Electrical and Computer Engineering","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Engineering; Computer science; Engineering physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002045648,0.0002450946,0.0004613109,0.001042907,0.00005829491,0.0001249427,0.0002828589,0.000175083,0.000007945406],"category_scores_gemma":[0.00007100841,0.0001875584,0.00009881246,0.0003595634,0.00003271117,0.0002250119,0.00001459011,0.0004747214,0.000001336762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003047214,"about_ca_system_score_gemma":0.0003548134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009953941,"about_ca_topic_score_gemma":0.001701517,"domain_scores_codex":[0.9985497,0.00001209845,0.0005393098,0.0001249467,0.0001350843,0.0006388743],"domain_scores_gemma":[0.9984072,0.0001490142,0.00008532451,0.0001103197,0.0001268258,0.001121274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003905327,0.00004922748,0.05356569,0.0005608888,0.002168345,0.007142082,0.001318541,0.1056298,0.01062086,0.02621368,0.03244684,0.760245],"study_design_scores_gemma":[0.002639507,0.001813931,0.06307703,0.001392597,0.0001467525,0.01509671,0.00001164388,0.761126,0.003068445,0.0004050971,0.1496048,0.001617513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4828062,0.01142429,0.5035263,0.0003072681,0.00172561,0.00009297558,0.00000787609,0.00007179019,0.00003768211],"genre_scores_gemma":[0.9951615,0.0001513229,0.003980389,0.00002670423,0.0006335461,8.963234e-7,2.124048e-7,0.000035236,0.0000101471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7586275,"threshold_uncertainty_score":0.7648409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003283783480167975,"score_gpt":0.1390862290499761,"score_spread":0.1358024455698081,"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."}}