{"id":"W2899214052","doi":"10.1109/tsg.2018.2878980","title":"A Detailed Presentation of an Innovative Local and Wide-Area Special Protection Scheme to Avoid Voltage Collapse: From Proof of Concept to Grid Implementation","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Phasor; Grid; Electric power system; Engineering; Control engineering; Robustness (evolution); Reliability engineering; Computer science; Control theory (sociology); Control (management); Power (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003009077,0.0008028315,0.0003246809,0.0003248627,0.0002899775,0.0009305852,0.0009430018,0.001112701,0.02518331],"category_scores_gemma":[0.0002034415,0.000214159,0.0002671961,0.0002514178,0.0002840743,0.0008108933,0.000356539,0.0008375376,0.007698652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006779103,"about_ca_system_score_gemma":0.0006097654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001518123,"about_ca_topic_score_gemma":0.001893524,"domain_scores_codex":[0.9998197,0.00001758889,0.000005839584,0.00002311255,0.0001151604,0.00001862372],"domain_scores_gemma":[0.9999132,0.000006004956,0.000005720359,0.00001224523,0.0000492508,0.00001360635],"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":[0.000348969,0.000268721,0.0003776093,0.001498466,0.00006130338,0.001064778,0.0001940966,0.008775298,0.3686736,0.05157862,0.1257899,0.4413686],"study_design_scores_gemma":[0.00006424023,0.001122718,0.0008197592,0.0001114042,0.00002133523,0.001032153,0.00003755356,0.01837787,0.07509713,0.003159472,0.9001161,0.00004020235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01785978,0.006802769,0.7752658,0.002816489,0.003405603,0.001629508,0.00118109,0.00680155,0.1842373],"genre_scores_gemma":[0.3080675,0.01262329,0.2705224,0.002063785,0.001033989,0.0008855953,0.001925972,0.0009439995,0.4019334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02518331,"threshold_uncertainty_score":0.08424658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766841455313792,"score_gpt":0.2605553941766839,"score_spread":0.242886979623546,"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."}}