{"id":"W2784188395","doi":"10.1109/tpwrd.2017.2711502","title":"Optimal Placement of GIC Blocking Devices Considering Equipment Thermal Limits and Power System Operation Constraints","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Thermal Analysis in Power Transmission","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Division of Electrical, Communications and Cyber Systems","keywords":"Electric power system; Transformer; AC power; Engineering; Geomagnetically induced current; Control theory (sociology); Permanent magnet synchronous generator; Capacitor; Voltage; Electrical engineering; Computer science; Automotive engineering; Power (physics); Geomagnetic storm","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002057606,0.000277036,0.0003234162,0.0001636835,0.0004060227,0.0001303461,0.0002198024,0.0001243528,0.000313181],"category_scores_gemma":[0.000002132993,0.0002668322,0.0001237572,0.00004645609,0.0001740834,0.0003660776,0.00000411271,0.0002271697,0.00002203308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001078776,"about_ca_system_score_gemma":0.0000278481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001794033,"about_ca_topic_score_gemma":0.00001260525,"domain_scores_codex":[0.9986485,0.00004250947,0.0004395172,0.0002898799,0.0002969623,0.0002826295],"domain_scores_gemma":[0.9992039,0.00006733843,0.0001085825,0.0004299211,0.00006997725,0.0001203408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001312832,0.0001281139,0.0001784666,0.0002536634,0.0006659773,0.00004299879,0.001690732,0.7929025,0.1976184,0.00007335047,0.00001799306,0.006296532],"study_design_scores_gemma":[0.003041913,0.0004678475,0.003002397,0.001801265,0.0005871461,0.0001165369,0.002778603,0.1729412,0.8136463,0.000002971569,0.000446487,0.001167326],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8421584,0.0002427107,0.1545897,0.00003122727,0.0006729484,0.0002226807,0.00003534356,0.0001516475,0.001895388],"genre_scores_gemma":[0.9986408,0.00007042604,0.001153634,0.00002303461,0.00001271586,0.00001994326,0.000001502252,0.00003951523,0.00003846635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6199613,"threshold_uncertainty_score":0.9999784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573274529860051,"score_gpt":0.2286335753083062,"score_spread":0.2129008300097057,"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."}}