{"id":"W2037391976","doi":"10.1109/epec.2014.51","title":"Quantifying System Adequacy Benefit of Wind Power Diversity","year":2014,"lang":"en","type":"article","venue":"","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wind power; Renewable energy; Electric power system; Electricity generation; Diversification (marketing strategy); Environmental science; Electric power; Reliability (semiconductor); Distributed generation; Environmental economics; Wind speed; Automotive engineering; Reliability engineering; Power (physics); Engineering; Meteorology; Electrical engineering; Business; Geography; Economics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002776202,0.00009605903,0.0002090389,0.0000417183,0.00005601497,0.000008496645,0.0001745077,0.00006373032,0.00004132026],"category_scores_gemma":[0.00002432082,0.00008527793,0.00006920969,0.0000870479,0.00002172376,0.0001019168,0.0001016296,0.0000649046,0.0000712997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005238007,"about_ca_system_score_gemma":0.000003135484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001143628,"about_ca_topic_score_gemma":0.00003430275,"domain_scores_codex":[0.9993452,0.00001485435,0.0002019371,0.0001220085,0.0001348941,0.0001810981],"domain_scores_gemma":[0.9995321,0.00005467531,0.00002985961,0.0002807877,0.00004614212,0.00005641535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006650156,0.0001471749,0.1231467,0.00882219,0.0004015102,0.00001467453,0.005520855,0.06025061,0.0146428,0.7759216,0.006468331,0.004596991],"study_design_scores_gemma":[0.006013945,0.0007823931,0.2967721,0.004787201,0.0002990837,0.0001241607,0.0104011,0.4650884,0.07595165,0.001664999,0.1341659,0.00394912],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8416125,0.0001340002,0.04820856,0.00002273624,0.0009606389,0.0001426547,0.000007820511,0.0004455854,0.1084655],"genre_scores_gemma":[0.999451,0.000002939972,0.0003067241,0.00001080146,0.0000189467,8.817221e-7,7.523482e-7,0.00001012917,0.0001978361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7742566,"threshold_uncertainty_score":0.3477533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424753122661498,"score_gpt":0.1956667649820845,"score_spread":0.1814192337554695,"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."}}