{"id":"W2136136616","doi":"","title":"Risk based equivalent wind capacity in power generating systems","year":2004,"lang":"en","type":"article","venue":"IEEE International Conference on Probabilistic Methods Applied to Power Systems","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wind power; Turbine; Generator (circuit theory); Automotive engineering; Wind speed; Steam turbine; Capacity factor; Computer science; Electricity generation; Engineering; Power (physics); Marine engineering; Environmental science; Electrical engineering; Meteorology; Mechanical engineering; Physics","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":[0.002614756,0.0008220577,0.00062598,0.001050482,0.0003374921,0.001389444,0.0008881391,0.0008424256,0.001555513],"category_scores_gemma":[0.01768797,0.0004443456,0.0004039599,0.000769675,0.001583212,0.002892687,0.001058041,0.001183811,0.0002240422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103444,"about_ca_system_score_gemma":0.0004950305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002182934,"about_ca_topic_score_gemma":0.001479087,"domain_scores_codex":[0.998145,0.0009502023,0.00006776961,0.0001908106,0.0005469223,0.00009932895],"domain_scores_gemma":[0.9930037,0.005627392,0.0005379749,0.0003497293,0.0003511642,0.0001299344],"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":[0.00002581542,0.00001034748,0.0006766641,0.00002660225,0.00001431947,0.0001220176,0.0000468365,0.9244649,0.0004654372,0.06532175,0.000228891,0.00859639],"study_design_scores_gemma":[0.000002864301,0.00001303174,0.000340825,0.000009223487,0.000004845774,0.00005251354,0.00001146102,0.9322895,0.0002206583,0.06672358,0.0003215897,0.000009874307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0762116,0.001246183,0.9138127,0.0003585792,0.00004935143,0.00004383036,0.0001109203,0.0002585971,0.00790817],"genre_scores_gemma":[0.9759069,0.0004913164,0.02173052,0.00003478807,0.00006390985,0.00004052208,0.00007683832,0.00007067061,0.001584555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002614756,"threshold_uncertainty_score":0.01382828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07853349645383233,"score_gpt":0.3164238685043859,"score_spread":0.2378903720505536,"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."}}