{"id":"W3018327636","doi":"10.1109/tpel.2020.2989197","title":"Modular Interline DC Power Flow Controller","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China Stem Cell and Translational Research; Science and Technology Project of State Grid","keywords":"Modular design; Controller (irrigation); Power (physics); Power flow; Line (geometry); AC power; Power control; Control theory (sociology); Grid; Computer science; Topology (electrical circuits); Engineering; Flow (mathematics); Electronic engineering; Control engineering; Electrical engineering; Electric power system; Control (management); Voltage; Physics; Mathematics","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":[0.00009402948,0.000253108,0.0002772287,0.00008699852,0.00009729502,0.00004547907,0.0001391496,0.0001715038,0.0003266276],"category_scores_gemma":[0.000003784028,0.0002526768,0.000182315,0.0002835409,0.00001790087,0.0001505243,5.901244e-7,0.0006419025,0.0003163482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001713069,"about_ca_system_score_gemma":0.00002808428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005474524,"about_ca_topic_score_gemma":0.00001623743,"domain_scores_codex":[0.9987539,0.00003342131,0.0003151368,0.0002713483,0.0002036882,0.0004225217],"domain_scores_gemma":[0.999537,0.00002197062,0.00002799441,0.0002058315,0.00005195209,0.0001552638],"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":[0.0002336706,0.0001295757,8.664254e-7,0.00005045997,0.0004243908,0.00001119333,0.001352484,0.8311399,0.1498201,0.0001388975,0.001471881,0.01522661],"study_design_scores_gemma":[0.001877839,0.001001615,0.000009750825,0.00003462921,0.00005649754,0.00002677143,0.0000948349,0.7756585,0.08305234,0.00006246966,0.1375826,0.0005420845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02033545,0.0006144916,0.9755417,0.0004186719,0.0008711264,0.0003930534,0.00002889387,0.0006972653,0.00109942],"genre_scores_gemma":[0.9987962,0.00009600637,0.0003141434,0.0003617016,0.00006080803,0.0000737552,0.000002371977,0.00007709149,0.0002178676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9784608,"threshold_uncertainty_score":0.9999925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006875211813881509,"score_gpt":0.1956908645554771,"score_spread":0.1888156527415956,"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."}}