{"id":"W2314669240","doi":"10.1109/tste.2014.2356551","title":"Impact of Wind-Based Distributed Generation on Electric Energy in Distribution Systems Embedded With Electric Vehicles","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wind power; Penetration (warfare); Automotive engineering; Distributed generation; AC power; Wind speed; Electric power system; Electrical engineering; Voltage; Environmental science; Engineering; Computer science; Power (physics); Renewable energy; Physics; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000151604,0.0003768879,0.0004130455,0.0005943973,0.0001484367,0.00006329892,0.0001633576,0.0002492136,0.00001639445],"category_scores_gemma":[0.000009569409,0.0003253961,0.0001442292,0.002282024,0.00002242935,0.0001946287,7.029553e-7,0.0003153362,0.000001020249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001240444,"about_ca_system_score_gemma":0.0001955843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001405882,"about_ca_topic_score_gemma":0.00007706598,"domain_scores_codex":[0.9980435,0.0001253931,0.0004331205,0.0003385155,0.0003384899,0.0007209927],"domain_scores_gemma":[0.9990768,0.0001154312,0.0001051523,0.0003601577,0.0002179466,0.0001245439],"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":[0.0001903983,0.0001620817,0.0000489378,0.00005499234,0.00007942397,0.00001009727,0.00001278236,0.9622754,0.02615339,0.00263882,0.0003594758,0.008014145],"study_design_scores_gemma":[0.001142057,0.001495082,0.0008091154,0.00003589199,0.00003920582,0.000009770709,0.00002851937,0.7968678,0.19854,0.00009438331,0.0005956312,0.0003424721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3928317,0.000109005,0.6065424,0.000009637588,0.00006848601,0.0001128155,0.00003436958,0.0001353948,0.0001561926],"genre_scores_gemma":[0.999338,0.00006383179,0.00002386892,0.0000199269,0.0000947533,0.00007798631,0.0001739137,0.00006351843,0.0001442327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6065186,"threshold_uncertainty_score":0.9999198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003635426086895889,"score_gpt":0.1898415274991925,"score_spread":0.1862061014122967,"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."}}