{"id":"W2088708838","doi":"10.1016/j.apenergy.2009.08.031","title":"Parametric study and optimization of a transcritical power cycle using a low temperature source","year":2009,"lang":"en","type":"article","venue":"Applied Energy","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":202,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec; Université de Sherbrooke","funders":"","keywords":"Parametric statistics; Transcritical cycle; Exergy efficiency; Power (physics); Heat exchanger; Working fluid; Process engineering; Exergy; Control theory (sociology); Computer science; Engineering; Mathematics; Thermodynamics; Mechanical engineering; Heat pump; Statistics","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":[0.0000463292,0.000113859,0.0002040516,0.00008994029,0.00003423853,0.0000178564,0.00006041766,0.00007337089,0.00001175382],"category_scores_gemma":[0.000002325823,0.0001067626,0.00003529479,0.0002303389,0.00001882872,0.00002731335,0.000004609229,0.00005947384,3.770907e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001248976,"about_ca_system_score_gemma":0.000005320743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003920531,"about_ca_topic_score_gemma":0.000001964029,"domain_scores_codex":[0.9994378,0.000009859599,0.0001795771,0.0001261596,0.000104449,0.0001421538],"domain_scores_gemma":[0.9997856,0.00001486222,0.00001466394,0.0001171145,0.00001589867,0.00005188237],"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":[0.00001523071,0.00009300463,0.00001013533,0.00001118984,0.0000369688,0.0000014924,0.0003043891,0.9876618,0.008648105,0.001686918,0.000008346051,0.0015224],"study_design_scores_gemma":[0.0006661442,0.000106842,0.0002338921,0.00002522131,0.00008040389,0.000007377644,0.001139789,0.9960653,0.00109036,0.0002930418,0.00004149438,0.0002501652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7610667,0.0002698695,0.2371538,0.000004371596,0.00004197058,0.00005513978,0.000001325209,0.00007586284,0.001330934],"genre_scores_gemma":[0.9991587,0.00001767418,0.0007335251,0.00002502339,0.00002574451,0.000003483036,0.000003072791,0.00001611813,0.00001660593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.238092,"threshold_uncertainty_score":0.4353652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003867405763093427,"score_gpt":0.1979819999371454,"score_spread":0.194114594174052,"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."}}