{"id":"W1994671963","doi":"10.1109/lescpe.2006.280360","title":"Distribtuion System with Distributed Generation Load Flow","year":2006,"lang":"en","type":"article","venue":"","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Electricity generation; Computer science; Distributed generation; Grid; Wind power; Distributed computing; Power flow; Electric power system; Smart grid; Power (physics); Renewable energy; Engineering; Electrical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005594368,0.0007384046,0.0006299378,0.0007900553,0.0006858073,0.001504838,0.001041542,0.0005672297,0.02879691],"category_scores_gemma":[0.001749019,0.0002914648,0.0003592952,0.001249138,0.0004067464,0.00157013,0.0006819171,0.0006661402,0.006517816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259599,"about_ca_system_score_gemma":0.0009773793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008811085,"about_ca_topic_score_gemma":0.007430725,"domain_scores_codex":[0.9995421,0.0001239715,0.00002991288,0.0001359667,0.0001256791,0.00004231701],"domain_scores_gemma":[0.9994924,0.0001839224,0.00003564867,0.000118486,0.0001505136,0.00001904144],"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":[0.0004932759,0.0003043922,0.002771801,0.0001662506,0.00004424596,0.0002877816,0.0001492941,0.5372211,0.004689628,0.05149618,0.03703152,0.3653445],"study_design_scores_gemma":[0.00007948554,0.00003125612,0.0001961432,0.000004936421,0.00000722468,0.00003981168,0.000006915956,0.9744869,0.001626127,0.007195289,0.0163156,0.00001039782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01353749,0.00009123905,0.9554917,0.0002129727,0.00008724625,0.0002579812,0.001448886,0.01485084,0.01402164],"genre_scores_gemma":[0.614484,0.0002034164,0.329875,0.0001623949,0.0001991533,0.0005549004,0.004581631,0.0009923492,0.04894711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02879691,"threshold_uncertainty_score":0.09633529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004412513119179947,"score_gpt":0.162768769321973,"score_spread":0.1583562562027931,"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."}}