{"id":"W7151620385","doi":"10.5281/zenodo.19449623","title":"Advancements in STATCOM Performance with Energy Storage","year":2017,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Frequency Control in Power Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Flexibility (engineering); Energy storage; Electric power system; Power (physics); AC power; Superconducting magnetic energy storage; Software; Static VAR compensator; Transmission (telecommunications)","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000798923,0.0003827738,0.0003943764,0.0003727154,0.00336356,0.002151496,0.002574822,0.0001248354,0.005327164],"category_scores_gemma":[0.0002859031,0.0004182047,0.0000515349,0.0003478169,0.0003160668,0.001436749,0.001023807,0.0005284257,0.00306767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007201728,"about_ca_system_score_gemma":0.000009508519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001756451,"about_ca_topic_score_gemma":0.00000974966,"domain_scores_codex":[0.9969347,0.0002822157,0.0005690552,0.0006654202,0.0006506453,0.0008979339],"domain_scores_gemma":[0.9972248,0.00002029154,0.0003040296,0.001721355,0.0004626143,0.0002668981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00116952,0.0008826093,0.0007722233,0.002159087,0.0007939209,0.0007363059,0.008424276,0.0602807,0.01061731,0.01512537,0.07223727,0.8268014],"study_design_scores_gemma":[0.00233176,0.0005711624,0.004203938,0.0004549861,0.00002272612,0.00008242931,0.0001944015,0.03322928,0.0004119686,0.00003582963,0.9579241,0.0005374493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1407619,0.002292971,0.05075777,0.0008476804,0.002462622,0.001854938,0.0006244651,0.001768521,0.7986291],"genre_scores_gemma":[0.9935592,0.000777234,0.0001942973,0.00003676558,0.0002075702,1.658398e-7,0.0002663445,0.002701962,0.002256432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8856868,"threshold_uncertainty_score":0.999827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02131249338522127,"score_gpt":0.2214632726499075,"score_spread":0.2001507792646862,"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."}}