{"id":"W4388680833","doi":"10.21926/jept.2304034","title":"An Adsorption-Desorption Heat Engine for Power Generation from Waste Heat","year":2023,"lang":"en","type":"article","venue":"Journal of Energy and Power Technology","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Professional Engineers Ontario","funders":"","keywords":"Waste heat; Stirling engine; Heat engine; Thermodynamic cycle; Thermal efficiency; Thermodynamics; Organic Rankine cycle; Exergy efficiency; Waste heat recovery unit; Nuclear engineering; Materials science; Thermal energy; Work (physics); Process engineering; Rankine cycle; Exergy; Chemistry; Heat exchanger; Power (physics); Engineering; Physics; Organic chemistry","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":[0.0001511748,0.0001368612,0.0002613766,0.0003563704,0.00005511812,0.00002329103,0.0001301339,0.0002327649,0.00003323761],"category_scores_gemma":[0.00001085378,0.0001200811,0.00008703243,0.0002098667,0.00003314378,0.0001425501,0.00001089431,0.0001127926,0.000003333312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002799598,"about_ca_system_score_gemma":0.00001198243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001768082,"about_ca_topic_score_gemma":0.00002019299,"domain_scores_codex":[0.9992391,0.00001618194,0.0003382252,0.000120764,0.0000943585,0.0001913061],"domain_scores_gemma":[0.999625,0.00002767194,0.0000418044,0.0001533465,0.00008428585,0.0000678751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001327609,0.00007334904,0.0004048777,0.00001900175,0.0004555847,0.00002469229,0.0004092841,0.2311191,0.7200254,0.03307994,0.008912631,0.005343388],"study_design_scores_gemma":[0.002596518,0.001684272,0.0006451265,0.0001697607,0.0002352719,0.00022843,0.001966858,0.862361,0.03886974,0.02011936,0.07028018,0.0008434356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.814378,0.001708167,0.1822724,0.0003151651,0.00103049,0.00003250337,0.00001510592,0.0001606936,0.00008745992],"genre_scores_gemma":[0.9984968,0.0005510102,0.0004475499,0.00003819474,0.0003052879,0.000007424973,0.0000386516,0.00002624487,0.00008880971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6811557,"threshold_uncertainty_score":0.4896766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007170950367437067,"score_gpt":0.2195281461175356,"score_spread":0.2123571957500985,"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."}}