{"id":"W1603751567","doi":"10.5772/15260","title":"Energy Planning for Distributed Generation Energy System: The Optimization Work","year":2011,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Work (physics); Energy (signal processing); Distributed generation; Computer science; Engineering; Electrical engineering; Mechanical engineering; Renewable energy; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001275686,0.0004536418,0.0003390031,0.0001205688,0.0001623524,0.00009889458,0.0003057891,0.0005769459,0.00003700556],"category_scores_gemma":[0.00001213507,0.0004017401,0.0001914919,0.00002804785,0.0000629866,0.00005799357,0.00005649658,0.0002450295,0.00001054389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004130036,"about_ca_system_score_gemma":0.00003486675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002082119,"about_ca_topic_score_gemma":0.00001153258,"domain_scores_codex":[0.9986468,0.00001515164,0.0004969022,0.0003298467,0.0001983784,0.0003129169],"domain_scores_gemma":[0.9990528,0.00005620554,0.0001670607,0.0004557034,0.0001958326,0.00007236948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002051515,0.0000193286,0.000001338305,0.0004501323,0.001112756,0.00004145289,0.0003196806,0.277355,0.005522196,0.6300642,0.0462058,0.03870295],"study_design_scores_gemma":[0.0005050885,0.0001613126,5.351128e-7,0.001104818,0.0003796611,0.00003653168,0.00002979234,0.2534945,0.04903843,0.00276607,0.6911942,0.001289032],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000003810203,0.0005294671,0.8474259,0.000008285159,0.001103642,0.0002471865,0.000404743,0.0006386952,0.1496382],"genre_scores_gemma":[0.8730192,0.00007375336,0.005251134,0.0001121362,0.002689973,0.0009403344,0.01164736,0.0006114366,0.1056547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8730154,"threshold_uncertainty_score":0.9998434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02432650739386382,"score_gpt":0.2041584653041791,"score_spread":0.1798319579103153,"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."}}