{"id":"W2110673191","doi":"10.1109/pes.2009.5275728","title":"Composite generation and transmission system adequacy assessment considering wind energy seasonal characteristics","year":2009,"lang":"en","type":"article","venue":"","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wind speed; Wind power; Monte Carlo method; Reliability (semiconductor); Environmental science; Meteorology; Sampling (signal processing); Transmission system; Reliability engineering; Transmission (telecommunications); Scale (ratio); Electric power system; Computer science; Statistics; Engineering; Telecommunications; Mathematics; Power (physics); Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00133717,0.0003137818,0.0004424592,0.0005533184,0.000199574,0.0004825014,0.0003343057,0.0002890873,0.0008708651],"category_scores_gemma":[0.005042473,0.0001866282,0.0003922889,0.0005266605,0.000199771,0.0007459749,0.0003315064,0.0002752671,0.00008282278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003524131,"about_ca_system_score_gemma":0.0004509227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0044423,"about_ca_topic_score_gemma":0.007672479,"domain_scores_codex":[0.9994164,0.0002531417,0.00002110922,0.0000609383,0.0001921783,0.00005630435],"domain_scores_gemma":[0.9975796,0.001555572,0.0002432039,0.0002129164,0.0003273586,0.00008134493],"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":[0.0003287711,0.00004738071,0.01389695,0.00002876561,0.00004602187,0.0001454661,0.00004563939,0.9677049,0.002650481,0.001327025,0.0001757331,0.01360294],"study_design_scores_gemma":[0.000007204547,0.0001163194,0.0065738,0.000001742515,0.00001768878,0.00005501834,0.00001902709,0.9916723,0.000810626,0.0005976409,0.000122493,0.000006068711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9362524,0.0000585154,0.06129004,0.00002860685,0.00000789738,0.0000172228,0.0001203102,0.000106578,0.002118405],"genre_scores_gemma":[0.9975916,0.00001442013,0.002165359,0.000001467901,0.000001878989,0.000003970762,0.0000475366,0.000007962489,0.0001658194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0044423,"threshold_uncertainty_score":0.008832872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00871730781164489,"score_gpt":0.2078289103504279,"score_spread":0.199111602538783,"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."}}