{"id":"W3100548969","doi":"10.5194/wes-2020-123","title":"Ground-generation airborne wind energy design space exploration","year":2020,"lang":"en","type":"article","venue":"","topic":"Aerospace Engineering and Energy Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Projektträger Jülich; Bundesministerium für Wirtschaft und Energie; Pacific Institute for Climate Solutions; Albert-Ludwigs-Universität Freiburg; Natural Sciences and Engineering Research Council of Canada; European Commission; Carl von Ossietzky Universität Oldenburg; Deutscher Akademischer Austauschdienst","keywords":"Meteorology; Environmental science; Wind power; Offshore wind power; Electricity generation; Mesoscale meteorology; Aerodynamics; Weather Research and Forecasting Model; Computer science; Aerospace engineering; Power (physics); Engineering; Physics; Electrical engineering","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":[0.0002995889,0.0002776463,0.0002174897,0.0001529166,0.0001543771,0.0003379577,0.000191802,0.0001754742,0.003592735],"category_scores_gemma":[0.0004612564,0.0001220307,0.0002754682,0.0001567386,0.0001355154,0.0003186976,0.0002520886,0.0002516907,0.0002631613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002634221,"about_ca_system_score_gemma":0.000365261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001685529,"about_ca_topic_score_gemma":0.0031732,"domain_scores_codex":[0.9999317,0.00002263714,0.000002047818,0.000009985273,0.00002325337,0.00001041016],"domain_scores_gemma":[0.9998391,0.00006612988,0.00001455825,0.00002626542,0.00004275309,0.00001121219],"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":[0.00009091156,0.00005041724,0.002447755,0.00008556924,0.00002975403,0.00006166949,0.00003176839,0.9362448,0.005442924,0.003258841,0.001325751,0.0509297],"study_design_scores_gemma":[0.0000202368,0.0001498935,0.001017025,0.00000933401,0.000008665113,0.00001870267,0.00002627718,0.9915488,0.002008003,0.001874707,0.00331503,0.000003273479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7371699,0.0007404803,0.2127081,0.0004545963,0.00006815508,0.0001668715,0.0005058681,0.000481765,0.04770426],"genre_scores_gemma":[0.980898,0.0001175489,0.01589762,0.00002866037,0.00000429288,0.00004030909,0.0002117654,0.00002426281,0.002777548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003592735,"threshold_uncertainty_score":0.01201886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04251019492409829,"score_gpt":0.1839078751220843,"score_spread":0.141397680197986,"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."}}