{"id":"W4220656609","doi":"10.3390/en15072449","title":"Aerodynamic Performance and Wake Flow of Crosswind Kite Power Systems","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Aerospace Engineering and Energy Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Concordia University","funders":"Concordia University; Compute Canada","keywords":"Wake; Computational fluid dynamics; Aerodynamics; Mechanics; Crosswind; Turbulence; Flow (mathematics); Fluent; Wind tunnel; Reynolds number; Physics; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001252199,0.0001335275,0.0001952182,0.00007376399,0.00009802447,0.00002394576,0.0001085815,0.00003554165,0.00002103113],"category_scores_gemma":[0.000003975059,0.0001369166,0.00003093076,0.0001382934,0.00002982288,0.00008320894,0.00005970714,0.0001214436,0.000002610421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004665775,"about_ca_system_score_gemma":0.000007314079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005194552,"about_ca_topic_score_gemma":0.000004810442,"domain_scores_codex":[0.9993253,0.00001576989,0.0001779377,0.000118142,0.0001673665,0.0001955312],"domain_scores_gemma":[0.9997031,0.00002194344,0.00002592647,0.0001963641,0.00001363878,0.00003899366],"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":[0.000002969,0.000003386624,0.0009369293,0.0001249625,0.00002857202,0.000002233662,0.0004766598,0.9923832,0.004993953,0.0002768988,0.0006275636,0.0001426962],"study_design_scores_gemma":[0.0002945886,0.00008318016,0.01033717,0.0000643961,0.000009936848,0.00004765265,0.0008322834,0.9550987,0.001138205,0.000002062083,0.03177463,0.0003171364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933911,0.002710406,0.0003338424,0.000006006038,0.001324883,0.00004207914,0.0000190402,0.00025085,0.001921775],"genre_scores_gemma":[0.9978737,0.00009990401,0.0001294643,0.000002493649,0.00003397162,0.00004223967,0.000007305274,0.00003829925,0.001772648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03728441,"threshold_uncertainty_score":0.5583298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002482732055483852,"score_gpt":0.1420432899163843,"score_spread":0.1395605578609005,"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."}}