{"id":"W2130102883","doi":"10.1109/tpwrd.2009.2033929","title":"Heuristic Determination of Distribution Trees","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Simulated annealing; Tabu search; Mathematical optimization; Heuristic; Topology (electrical circuits); Network topology; Computer science; Hill climbing; Mathematics; Algorithm","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":[],"consensus_categories":[],"category_scores_codex":[0.00008445838,0.0001605602,0.0001483063,0.0001048251,0.00006783525,0.00001911651,0.0001138958,0.000143003,0.0002263661],"category_scores_gemma":[0.000007771431,0.0001788479,0.0001135342,0.0002125152,0.00006822911,0.000226183,6.251197e-7,0.0003247754,0.00009561933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007304026,"about_ca_system_score_gemma":0.00001687864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001250311,"about_ca_topic_score_gemma":0.00005150305,"domain_scores_codex":[0.999174,0.00001537075,0.0002645651,0.0001586052,0.0001933183,0.0001941612],"domain_scores_gemma":[0.9994639,0.00006694296,0.0000368958,0.0002568467,0.0001040875,0.00007137468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002061524,0.0008695558,0.0001071344,0.0001557811,0.0001352385,0.00002305759,0.0003718918,0.05822992,0.8389534,0.0005053672,0.002525305,0.0979172],"study_design_scores_gemma":[0.001018535,0.0004575502,0.004672921,0.00007232539,0.0001519688,0.00003943763,0.00006921265,0.1478175,0.8413918,0.0001914784,0.00344957,0.0006676974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.407813,0.00001270618,0.5897546,0.00001168565,0.001268751,0.0000936377,0.000440734,0.0001807868,0.0004240618],"genre_scores_gemma":[0.9992238,0.00002420357,0.0005812889,0.000007703306,0.00001904078,0.00001876109,0.00005871278,0.00002419487,0.00004229236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5914108,"threshold_uncertainty_score":0.7293205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005392393408888621,"score_gpt":0.2019614438086904,"score_spread":0.1965690503998018,"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."}}