{"id":"W4394953487","doi":"10.1504/ijex.2024.10063645","title":"An exergy-based efficiency analysis framework for industrial pneumatic systems","year":2024,"lang":"en","type":"article","venue":"International Journal of Exergy","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Exergy; Exergy efficiency; Computer science; Process engineering; Thermodynamics; Environmental science; 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":[0.001124696,0.001594719,0.000854077,0.001634047,0.00042767,0.00123304,0.001296398,0.0005165558,0.002914062],"category_scores_gemma":[0.001009612,0.0003749752,0.001567104,0.0008662987,0.0006600432,0.001509968,0.001105747,0.001055224,0.0007849213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009286334,"about_ca_system_score_gemma":0.001155055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003634491,"about_ca_topic_score_gemma":0.002084626,"domain_scores_codex":[0.9994563,0.0001214142,0.00003128786,0.000072527,0.0002618644,0.00005650375],"domain_scores_gemma":[0.999806,0.00006634468,0.00001977999,0.00002447124,0.00007275497,0.00001071418],"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":[0.00002563402,0.00007562701,0.0005240917,0.0002365206,0.00006142402,0.0001379666,0.00007843847,0.7774321,0.010175,0.1708992,0.001154971,0.03919906],"study_design_scores_gemma":[0.00000734578,0.00004281421,0.0004377227,0.00003141113,0.00002269127,0.00005224264,0.00002784322,0.942305,0.00310345,0.04643966,0.007507831,0.00002202332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003216662,0.0003544009,0.9907787,0.00004089538,0.00001399787,0.00006008722,0.0001050065,0.0001940566,0.005236212],"genre_scores_gemma":[0.526331,0.00181132,0.4601613,0.00006914551,0.00009941934,0.000741666,0.0009144002,0.0005498015,0.009321928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003634491,"threshold_uncertainty_score":0.009748518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02246208972631738,"score_gpt":0.2999206117025709,"score_spread":0.2774585219762535,"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."}}