{"id":"W2766950701","doi":"10.1049/iet-gtd.2017.0671","title":"Spectral clustering for designing robust and reliable multi‐MG smart distribution systems","year":2017,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Etobicoke General Hospital","funders":"","keywords":"Cluster analysis; Computer science; Spectral clustering; Data mining; 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":[0.0007625092,0.0009056121,0.0007196413,0.0007727079,0.0004468032,0.0006003386,0.0007653615,0.0006669441,0.001237603],"category_scores_gemma":[0.001896727,0.0004290577,0.0006480502,0.0006130689,0.0004925036,0.0008037611,0.0006228182,0.0005155492,0.0003937788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008202055,"about_ca_system_score_gemma":0.0006784565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003248686,"about_ca_topic_score_gemma":0.003027166,"domain_scores_codex":[0.9995776,0.0001490179,0.00002077115,0.00007647503,0.0001328005,0.00004344955],"domain_scores_gemma":[0.9994716,0.0002081143,0.0001062556,0.0000568267,0.0001322314,0.00002495295],"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":[0.00002631595,0.0000105611,0.0001613763,0.00003477037,0.00001846372,0.00001875367,0.00002534688,0.9741963,0.002423028,0.002720241,0.0002421346,0.02012273],"study_design_scores_gemma":[0.000003281553,0.00001675357,0.00005733824,0.000003072051,0.00000341109,0.000005571823,0.000006230073,0.9977877,0.0006331971,0.001178268,0.0003020572,0.000002956313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008846166,0.0001287139,0.9895825,0.00004127283,0.00001152453,0.00003293153,0.00001874223,0.000179497,0.001158595],"genre_scores_gemma":[0.7469254,0.0002444099,0.2509522,0.00004735428,0.00002981634,0.0001993576,0.0000978669,0.00009843892,0.001405244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003248686,"threshold_uncertainty_score":0.006459594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0344594566284381,"score_gpt":0.248267116474256,"score_spread":0.2138076598458179,"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."}}