{"id":"W2128889856","doi":"10.1109/pes.2009.5275925","title":"Training T&D's next generation for next generation networks: The CIGRE experience","year":2009,"lang":"en","type":"article","venue":"","topic":"Electric Power System Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Energy","funders":"","keywords":"Next-generation network; Government (linguistics); Investment (military); Order (exchange); Business; Telecommunications; Computer science; Engineering; Finance; Politics; Political 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":[],"consensus_categories":[],"category_scores_codex":[0.002585948,0.000320675,0.0001497013,0.0004829595,0.002181137,0.002417193,0.0009663822,0.002655338,0.02029033],"category_scores_gemma":[0.001839162,0.0002191763,0.0001960327,0.0004515878,0.001213609,0.001646603,0.001666658,0.001924659,0.007523655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001411856,"about_ca_system_score_gemma":0.001889203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01246608,"about_ca_topic_score_gemma":0.04133716,"domain_scores_codex":[0.9989706,0.0003210395,0.00003155691,0.00009130318,0.0003241406,0.0002613171],"domain_scores_gemma":[0.9980794,0.0005105135,0.00006194237,0.0001391324,0.0004880267,0.0007208781],"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":[0.00009372352,0.0006682301,0.007774672,0.000197859,0.000009098383,0.002942318,0.005762018,0.001574424,0.002860015,0.0235986,0.6564158,0.2981033],"study_design_scores_gemma":[0.000008626485,0.0001327364,0.00345337,0.0001134368,0.000003708889,0.0009901442,0.003909696,0.000456444,0.001198767,0.0009617806,0.9887511,0.00002013564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07033049,0.007623153,0.007082065,0.1173079,0.003519801,0.0001110272,0.000194763,0.0006719467,0.793159],"genre_scores_gemma":[0.3248794,0.01864479,0.009344371,0.01742388,0.001688438,0.00007992591,0.0003874976,0.0005564414,0.6269953],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02029033,"threshold_uncertainty_score":0.06787795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1153701057218034,"score_gpt":0.2679106727238031,"score_spread":0.1525405670019997,"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."}}