{"id":"W2151232840","doi":"10.1109/ccece.2003.1226462","title":"Distribution system planning using distributed generation","year":2004,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Deregulation; Installation; Distributed generation; Electric utility; Computer science; Electricity; Distributed power generation; Electric power industry; Distribution (mathematics); Electric power system; Digital signal processing; Electricity market; Electric power distribution; Risk analysis (engineering); Telecommunications; Business; Power (physics); Engineering; Electrical engineering; Economics; Renewable energy","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":[0.0005195106,0.000963832,0.0008808197,0.0009754559,0.000549707,0.001505811,0.0005877267,0.0005905638,0.005500388],"category_scores_gemma":[0.001628116,0.0008543073,0.0005555144,0.001537316,0.0004913215,0.0009898235,0.0006650229,0.0005528516,0.0005292499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001690316,"about_ca_system_score_gemma":0.001508356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01629684,"about_ca_topic_score_gemma":0.0255808,"domain_scores_codex":[0.9995736,0.0001895927,0.00001618187,0.00006789742,0.0001106801,0.00004197341],"domain_scores_gemma":[0.999581,0.0002680663,0.00003143012,0.00001654505,0.00007918232,0.00002369072],"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":[0.00001099332,0.000005396205,0.00009225746,0.00002003616,0.000008031141,0.00003019303,0.00001382964,0.9845918,0.00008358974,0.004551824,0.0004646741,0.01012736],"study_design_scores_gemma":[0.0000107932,0.000008769133,0.00003769222,0.000007595461,0.00000614718,0.000007120959,0.000008871604,0.9900802,0.0001039959,0.008210764,0.001514525,0.000003463911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01136483,0.0007528857,0.9743703,0.0002924275,0.00004952445,0.0001046719,0.0003729888,0.0004221752,0.0122703],"genre_scores_gemma":[0.6697818,0.001814203,0.3145199,0.00006019685,0.00007277806,0.0004456862,0.0008683169,0.0002174638,0.0122197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01629684,"threshold_uncertainty_score":0.03240395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02294562644122745,"score_gpt":0.2150855385640427,"score_spread":0.1921399121228153,"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."}}