{"id":"W2138170029","doi":"10.1109/pes.2006.1709366","title":"Probabilistic reliability evaluation for interconnecting the power systems in North East Asia","year":2006,"lang":"en","type":"article","venue":"2006 IEEE Power Engineering Society General Meeting","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Reliability (semiconductor); Interconnection; Reliability engineering; Probabilistic logic; East Asia; Computer science; Generator (circuit theory); Line (geometry); Electric power system; Power (physics); Tie line; Engineering; Telecommunications; Geography; China; Mathematics; 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":[0.001565296,0.0005052453,0.0004434088,0.0006615527,0.0002042419,0.000507005,0.0006019848,0.0004308153,0.001116922],"category_scores_gemma":[0.004280677,0.0002929019,0.0005286718,0.0007393869,0.0004729982,0.0007255932,0.0004763386,0.0004301202,0.00009076119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006609928,"about_ca_system_score_gemma":0.0006025227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005054473,"about_ca_topic_score_gemma":0.004076574,"domain_scores_codex":[0.9991742,0.0005172148,0.00002100571,0.00005840516,0.0001790695,0.0000501401],"domain_scores_gemma":[0.9987206,0.0008443601,0.0001440304,0.00009568524,0.0001757142,0.00001960597],"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":[0.00001797232,0.000005006908,0.0007979703,0.00001352799,0.0000131953,0.00006837836,0.00002460682,0.9940468,0.0004843693,0.002019617,0.0000539953,0.002454476],"study_design_scores_gemma":[0.000005572299,0.00005330969,0.0008797928,0.000004055968,0.00001422219,0.00005917582,0.00003008593,0.9957104,0.0005810519,0.002447648,0.0002101664,0.000004660571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7660637,0.0004704982,0.2258463,0.0002035714,0.00001039875,0.00004977826,0.0002080657,0.0001520998,0.006995523],"genre_scores_gemma":[0.9919183,0.0001764241,0.00713945,0.000006899434,0.000003232852,0.00002030206,0.00009282685,0.00001295756,0.0006296549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005054473,"threshold_uncertainty_score":0.01005012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009714966767452534,"score_gpt":0.2101812103136247,"score_spread":0.2004662435461722,"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."}}