{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002005508,0.0008018047,0.0007678164,0.0004723913,0.0009222825,0.001100928,0.0009483556,0.001335641,0.004640665],"category_scores_gemma":[0.0003784035,0.0004235976,0.001036318,0.0005062147,0.0004953586,0.0009406995,0.0006172397,0.0006793785,0.0004133862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006795964,"about_ca_system_score_gemma":0.0009263055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03078382,"about_ca_topic_score_gemma":0.01199982,"domain_scores_codex":[0.9998351,0.0000402636,0.00001145761,0.00003095053,0.00004401533,0.00003817192],"domain_scores_gemma":[0.9998789,0.00003840308,0.00001892762,0.000009142834,0.00004095526,0.0000135645],"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":[0.00002157488,0.00001139142,0.0006707869,0.0000412543,0.00001115878,0.0001343931,0.00003516919,0.9946095,0.0009317076,0.001668155,0.0003665419,0.001498355],"study_design_scores_gemma":[0.000005854532,0.000008970698,0.0001356294,0.000002910641,0.000004054361,0.000008532897,0.00001151587,0.9989379,0.0001577639,0.0003022866,0.0004212195,0.000003397135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3799124,0.001760932,0.4994184,0.001216736,0.0004845616,0.0002940377,0.002029366,0.002581452,0.1123021],"genre_scores_gemma":[0.97814,0.0005331107,0.008319542,0.00005560923,0.00003261854,0.0001948427,0.0004638228,0.00008056293,0.01217975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03078382,"threshold_uncertainty_score":0.06120932,"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."}}