{"id":"W3006805866","doi":"10.2298/tsci191102084m","title":"Modeling and simulation of wind turbine heat recycling system","year":2020,"lang":"en","type":"article","venue":"Thermal Science","topic":"Phase Change Materials Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bombardier (Canada)","funders":"National Natural Science Foundation of China","keywords":"Wind power; Thermal energy storage; Environmental science; Renewable energy; Turbine; Energy storage; Nuclear engineering; Molten salt; Process engineering; Power (physics); Mechanical engineering; Materials science; Engineering; Electrical engineering; Thermodynamics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002596403,0.00004406841,0.00007776735,0.00003413047,0.00004123879,0.00002614064,0.0001147909,0.0000147855,0.00001292975],"category_scores_gemma":[0.0000323499,0.00003904773,0.00000650081,0.0002047445,0.00005405218,0.0001696269,0.00004988893,0.00003647359,0.00000459886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002751723,"about_ca_system_score_gemma":0.000009529421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001633285,"about_ca_topic_score_gemma":3.304257e-7,"domain_scores_codex":[0.9994753,0.000009842014,0.00009720789,0.00009707097,0.0001826911,0.0001378667],"domain_scores_gemma":[0.9998111,0.00001603031,0.000005479673,0.00006381601,0.00002925502,0.00007436454],"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":[0.000003296966,4.755492e-7,0.000007137271,0.0000470443,5.238746e-7,4.369074e-7,0.0003040295,0.5281397,0.4711042,0.000005404468,7.316823e-8,0.0003876896],"study_design_scores_gemma":[0.00006803878,0.00001173147,0.00008164256,0.00002388658,0.000001139508,5.435357e-7,0.00005872469,0.8906465,0.1090677,0.000002611887,0.000001645446,0.00003577454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939796,0.0001034811,0.004911946,0.0000260509,0.0000489026,0.00007138156,0.000002673832,0.00007310974,0.0007828351],"genre_scores_gemma":[0.9997759,0.000004162994,0.0001443095,0.000006789307,0.00006062859,7.035566e-7,3.245862e-7,0.000006352597,7.595083e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3625069,"threshold_uncertainty_score":0.159232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06903845740496194,"score_gpt":0.2975827132845367,"score_spread":0.2285442558795747,"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."}}