{"id":"W2732197153","doi":"10.1049/iet-gtd.2017.0397","title":"Linear time complexity sorting algorithms for electromagnetic transient simulation of MMC‐HVdc system","year":2017,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"RTDS Technologies (Canada)","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Transient (computer programming); Sorting; Computer science; Algorithm; Transient analysis; Transient response; Electronic engineering; Control theory (sociology); Engineering; Electrical engineering; Artificial intelligence","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":[0.0005233378,0.001027455,0.0007390269,0.0005984882,0.000823505,0.0009740192,0.0009554332,0.0005882439,0.006050575],"category_scores_gemma":[0.001920588,0.0003517991,0.0005690953,0.0008477245,0.0003953701,0.001018892,0.0007192516,0.000862949,0.0009475811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111194,"about_ca_system_score_gemma":0.001561421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01348341,"about_ca_topic_score_gemma":0.01036792,"domain_scores_codex":[0.9995545,0.0001242531,0.00003532422,0.00007196615,0.0001383172,0.00007575399],"domain_scores_gemma":[0.9990751,0.0005501634,0.00007967331,0.00007307576,0.0001849532,0.00003700337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001866173,0.00006002559,0.0006342715,0.0001150324,0.00002148897,0.00005001388,0.00009310911,0.8901752,0.00256702,0.009950273,0.001350781,0.09479611],"study_design_scores_gemma":[0.00001510805,0.00001669361,0.00005915702,0.000003553879,0.000003489381,0.000007004001,0.00001306505,0.9962726,0.0007472046,0.0023095,0.0005492638,0.000003287418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02311408,0.0001683121,0.9696103,0.0001163618,0.00003321428,0.00008987685,0.0001355915,0.001597234,0.005134947],"genre_scores_gemma":[0.4412627,0.0002957562,0.5525041,0.000102888,0.00002636903,0.000397216,0.0006675134,0.000352887,0.004390648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01348341,"threshold_uncertainty_score":0.02680987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0423483316180017,"score_gpt":0.2825524402944646,"score_spread":0.2402041086764629,"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."}}