{"id":"W4385240939","doi":"10.1038/s44172-023-00096-x","title":"A symmetry analysis methodology for general energy conversion systems","year":2023,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Youth Innovation Promotion Association; Youth Innovation Promotion Association of the Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Carnot cycle; Symmetry (geometry); Work (physics); Work output; Brayton cycle; Reflection symmetry; Constant (computer programming); Thermodynamic cycle; Rotational symmetry; Energy (signal processing); Theoretical physics; Physics; Statistical physics; Thermodynamics; Mathematics; Mechanics; Computer science; Quantum mechanics; Geometry; Heat exchanger","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":[0.0001540078,0.00007652439,0.0001721717,0.0001747749,0.0001047683,0.00001695453,0.0002902795,0.00002699897,0.00000895933],"category_scores_gemma":[0.00002388536,0.0000818825,0.00009326838,0.000608106,0.00001216374,0.00002884324,0.0001273233,0.00006425109,0.000004528813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001980201,"about_ca_system_score_gemma":0.000008021104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007089709,"about_ca_topic_score_gemma":0.000001472344,"domain_scores_codex":[0.9995103,0.00003879582,0.0001473405,0.0001081804,0.00003969083,0.0001556342],"domain_scores_gemma":[0.9986882,0.0006119799,0.00003948368,0.0005682841,0.00004816512,0.00004384648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001171768,0.000008163547,0.00005388108,0.000006892071,0.0002167664,9.16372e-8,0.00001789778,0.05041714,0.0009996225,0.9458735,0.00002671229,0.002378153],"study_design_scores_gemma":[0.00009628967,0.000007385318,0.00008574199,0.000003966092,0.0001124127,1.180368e-7,0.00006722878,0.9802984,0.00009041741,0.0122099,0.006939753,0.0000884097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002763249,0.0001101712,0.9963704,0.00005324609,0.000120426,0.00007138177,0.0001228715,0.00007990234,0.0003083217],"genre_scores_gemma":[0.8713809,0.00002821271,0.1276295,0.000006731802,0.00004422367,0.0001367092,0.0005048183,0.0000165834,0.0002523485],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9336636,"threshold_uncertainty_score":0.3339071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04904532824283824,"score_gpt":0.3165746286966541,"score_spread":0.2675293004538158,"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."}}