{"id":"W2996776319","doi":"10.1016/j.enconman.2019.112162","title":"Operations management of wind farms integrating multiple impacts of wind conditions and resource constraints","year":2020,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Downtime; Revenue; Wind power; Resource (disambiguation); Operations research; Scheduling (production processes); Offshore wind power; Reliability engineering; Environmental economics; Engineering; Computer science; Operations management; Business; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007634112,0.0006230664,0.0008030732,0.0004824619,0.0005248997,0.001289434,0.0006471876,0.0006367289,0.0009896768],"category_scores_gemma":[0.001060439,0.0004947206,0.0004115551,0.0005695113,0.0003850897,0.001166985,0.0004415426,0.0005593675,0.00009937309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005463991,"about_ca_system_score_gemma":0.0007709207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004788704,"about_ca_topic_score_gemma":0.006434657,"domain_scores_codex":[0.9996344,0.0001383083,0.00001625276,0.00005577663,0.00007236069,0.00008294841],"domain_scores_gemma":[0.9995907,0.000201029,0.00008270411,0.00002085849,0.00005829909,0.00004647348],"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":[0.00005977633,0.00004613072,0.0008816799,0.0000209081,0.00003741,0.0001084589,0.00002120469,0.9862458,0.001605171,0.0007497324,0.0002744485,0.009949364],"study_design_scores_gemma":[0.000008806468,0.00005955838,0.0009825208,0.000003559476,0.00001371728,0.00001872779,0.00003342509,0.9971966,0.0004224375,0.001133447,0.0001217863,0.00000548874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.692679,0.0006065603,0.2966496,0.0005537847,0.00007787828,0.0001462103,0.0002658322,0.0001906669,0.008830469],"genre_scores_gemma":[0.9920259,0.0001093119,0.006923627,0.00001055968,0.00001310623,0.00002476807,0.00004718825,0.00001522037,0.000830268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004788704,"threshold_uncertainty_score":0.009521663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006680381834218742,"score_gpt":0.191135232679019,"score_spread":0.1844548508448003,"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."}}