{"id":"W1989532482","doi":"10.1049/iet-rpg.2009.0011","title":"Probabilistic approach for optimal allocation of wind-based distributed generation in distribution systems","year":2010,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":393,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Distributed generation; Probabilistic logic; Wind power; Mathematical optimization; Linear programming; Photovoltaic system; Integer programming; Renewable energy; Computer science; Engineering; Reliability engineering; Electrical engineering; Mathematics","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":[0.0006057663,0.0002824177,0.0003133148,0.0001278575,0.0000960999,0.0001151948,0.0001587033,0.0003248056,0.00001302119],"category_scores_gemma":[0.0001859976,0.00031389,0.00009100649,0.0004461609,0.00005736571,0.0003642013,0.0000136275,0.0001867396,0.000002808198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002624162,"about_ca_system_score_gemma":0.0001151918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001339264,"about_ca_topic_score_gemma":0.0001884799,"domain_scores_codex":[0.9981511,0.00006060495,0.0007148632,0.0004042901,0.0002960907,0.0003731062],"domain_scores_gemma":[0.9989404,0.00003744052,0.0001517792,0.0004055231,0.0003764236,0.00008845113],"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":[0.00002108151,0.0001100981,0.000120478,0.00008790517,0.00001172863,2.089846e-7,0.00002352367,0.6865489,0.3095996,0.001126887,0.002290759,0.00005885211],"study_design_scores_gemma":[0.0007945573,0.0001191886,0.0004502631,0.0000132791,0.00002964585,0.000002516897,0.00002117166,0.8837247,0.1132331,0.00001435115,0.001325138,0.0002720078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4024116,0.00006953628,0.5947345,0.0000259821,0.0007699003,0.0009653847,0.0008189453,0.0001144846,0.00008963042],"genre_scores_gemma":[0.9516493,0.000004577695,0.007427442,0.000005526518,0.0003182707,0.0003722234,0.04016114,0.00004242334,0.00001908615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5873072,"threshold_uncertainty_score":0.9999313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534105375975451,"score_gpt":0.2222582062263019,"score_spread":0.2069171524665474,"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."}}