{"id":"W2112943655","doi":"10.1109/ccece.2005.1556988","title":"Wind power simulation model for reliability evaluation","year":2006,"lang":"en","type":"article","venue":"","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wind power; Wind speed; Reliability (semiconductor); Reliability engineering; Electric power system; Computer science; Power (physics); Wind power forecasting; Marine engineering; Meteorology; Engineering; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006104221,0.00008516449,0.00009724417,0.00002521531,0.00003280725,0.00001555299,0.00005297811,0.00007097951,0.00004143926],"category_scores_gemma":[0.00009534892,0.0000776525,0.00005621951,0.00005818006,0.00001258547,0.0001575177,0.000005850352,0.00003688558,0.00001644078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001407758,"about_ca_system_score_gemma":0.00001853231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001613315,"about_ca_topic_score_gemma":0.00002114868,"domain_scores_codex":[0.9993036,0.00001404835,0.0002209011,0.000150566,0.0001547602,0.0001560813],"domain_scores_gemma":[0.9994795,0.00008061209,0.00001728442,0.0002260024,0.0001741478,0.00002248028],"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":[0.000006124883,0.0000143784,0.00009422713,0.0000355281,0.00000238125,1.817008e-8,0.0000423204,0.9960225,0.0003713216,0.001289531,0.001820611,0.0003011029],"study_design_scores_gemma":[0.0002858598,0.00001009252,0.001090879,0.000007390091,0.000009469663,1.579447e-7,0.000007398164,0.9825982,0.0003599447,0.01304703,0.002483811,0.00009981321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1287952,0.00004928099,0.8512424,0.00005240428,0.0002658822,0.0006615602,0.00001057613,0.0002386822,0.01868402],"genre_scores_gemma":[0.9961346,3.922202e-7,0.003033172,0.00001922073,0.00003669319,0.00004393527,0.00001659764,0.0000138827,0.0007014581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8673394,"threshold_uncertainty_score":0.3166577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753660837496189,"score_gpt":0.2572065908899037,"score_spread":0.2396699825149418,"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."}}