{"id":"W4391128800","doi":"10.1109/icpes59999.2023.10400098","title":"Adaptability Evaluation for LCC-HVDC Startup in Various Stages of Power Grid Black Start and Its Recommended Startup Strategy","year":2023,"lang":"en","type":"article","venue":"","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Development Research Centre","funders":"","keywords":"Adaptability; Power grid; Start up; Grid; Process (computing); Node (physics); Black box; Electric power system; Computer science; Scheme (mathematics); Constraint (computer-aided design); Engineering; Power (physics); Monte Carlo method; Reliability engineering; Mathematics; Mechanical engineering; Operating system; Physics","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":[0.0006137874,0.000468372,0.0002319249,0.0007439927,0.000293967,0.0005574407,0.000282771,0.0002674928,0.001784464],"category_scores_gemma":[0.001652084,0.0001066708,0.000271067,0.0004313434,0.0002220891,0.0005379466,0.000307276,0.0001961524,0.0001804996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005100484,"about_ca_system_score_gemma":0.0002749982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001798374,"about_ca_topic_score_gemma":0.001881895,"domain_scores_codex":[0.9995292,0.0001216975,0.00001789777,0.00005488622,0.0002094508,0.00006679573],"domain_scores_gemma":[0.9992065,0.0003087989,0.0001307398,0.00006687186,0.0002393385,0.00004774342],"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":[0.001578751,0.0001659619,0.0227452,0.0003370305,0.00005968996,0.0007059235,0.0004348797,0.7366638,0.0798539,0.00838333,0.001280211,0.1477913],"study_design_scores_gemma":[0.00003621803,0.0009211623,0.02425119,0.00003652786,0.00005431052,0.0002125791,0.0003448335,0.9223742,0.04791302,0.002042318,0.001778636,0.0000349266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7230512,0.000293152,0.255085,0.00008846849,0.00001783985,0.0002310478,0.0001474043,0.0004588016,0.02062698],"genre_scores_gemma":[0.9936492,0.0000441067,0.005408733,0.000004060144,0.000001824443,0.00002628602,0.00005086056,0.00001328972,0.0008016434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001798374,"threshold_uncertainty_score":0.005969644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05378561662565295,"score_gpt":0.2926758330002793,"score_spread":0.2388902163746264,"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."}}