{"id":"W2152928485","doi":"10.1109/pes.2006.1709602","title":"An analysis of the impacts of wind generation on the Ontario electricity system","year":2006,"lang":"en","type":"article","venue":"2006 IEEE Power Engineering Society General Meeting","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wind power; Electricity; Electricity system; Environmental science; Electricity generation; Environmental economics; Meteorology; Environmental resource management; Engineering; Geography; Electrical engineering; Economics; Power (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002421726,0.0003949984,0.0003170822,0.000511457,0.001253259,0.0008215984,0.0004576432,0.0003198848,0.002761528],"category_scores_gemma":[0.0012176,0.0002280974,0.0005133902,0.001361934,0.0004376224,0.0003334806,0.0002880124,0.0004360622,0.0001225923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01870584,"about_ca_system_score_gemma":0.01322932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9762412,"about_ca_topic_score_gemma":0.9863372,"domain_scores_codex":[0.9996177,0.00005594174,0.000006780642,0.00001775804,0.0001871297,0.0001146547],"domain_scores_gemma":[0.9995354,0.0001133525,0.00003640746,0.00001399232,0.0002579801,0.00004280023],"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":[0.000525921,0.000111963,0.06693941,0.000232501,0.0001854834,0.001718279,0.000664163,0.8820066,0.005207703,0.01161475,0.009350978,0.02144222],"study_design_scores_gemma":[0.0001771965,0.0003077517,0.3922304,0.00005968706,0.0002903117,0.0002016771,0.00363057,0.5741944,0.002863191,0.004131113,0.02180683,0.0001069677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562095,0.0002857282,0.001493689,0.0006380714,0.0000202061,0.00009207543,0.001667804,0.00004384058,0.03954909],"genre_scores_gemma":[0.9892421,0.0004518731,0.0007515381,0.00004601806,0.000008571219,0.00002077709,0.0008524014,0.00001486268,0.00861179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02375883,"threshold_uncertainty_score":0.135721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004237542603861819,"score_gpt":0.1751671620343504,"score_spread":0.1709296194304886,"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."}}