{"id":"W2910218518","doi":"10.1049/iet-gtd.2018.5452","title":"Voltage stability constrained line‐wise optimal power flow","year":2019,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Benchmark (surveying); Control theory (sociology); Electric power system; Mathematical optimization; Voltage; Convergence (economics); AC power; Stability (learning theory); Power (physics); Computer science; Line (geometry); Mathematics; Engineering","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004043856,0.0003927177,0.0003303616,0.00006028933,0.0001598871,0.0001298745,0.0001783371,0.0003298904,0.002726885],"category_scores_gemma":[0.00003789989,0.0004037944,0.0002062123,0.0003593063,0.00006966824,0.0005388971,0.00001707448,0.0003430555,0.0004212076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003581315,"about_ca_system_score_gemma":0.00008922176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005180475,"about_ca_topic_score_gemma":0.000002448953,"domain_scores_codex":[0.997801,0.00007642859,0.0006377408,0.0005162008,0.0004663427,0.0005023004],"domain_scores_gemma":[0.9989299,0.00003612747,0.00006796516,0.0004522432,0.0002404638,0.0002733404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001127654,0.0001998652,0.0003036005,0.0001198751,0.00005495303,0.000005912173,0.0002075962,0.2079323,0.7665676,0.0007986282,0.01061533,0.01308157],"study_design_scores_gemma":[0.001193054,0.0002047119,0.0008697502,0.00003592919,0.0000374732,0.000008787058,0.00006289027,0.728847,0.2394311,0.00003858422,0.02877173,0.0004988975],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4293373,0.000168164,0.5668826,0.0001545076,0.0007179891,0.0004916009,0.001212206,0.0004863376,0.0005493135],"genre_scores_gemma":[0.9873071,0.00005318505,0.001902157,0.00003738567,0.0001626347,0.00004191739,0.01035335,0.00004440621,0.00009786212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5649804,"threshold_uncertainty_score":0.9998414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114545715876103,"score_gpt":0.214802829553405,"score_spread":0.2033482579657947,"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."}}