{"id":"W2048472532","doi":"10.1016/j.enbuild.2013.03.028","title":"Performance analysis of a membrane liquid desiccant air-conditioning system","year":2013,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":160,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"TRNSYS; Liquid desiccant; Air conditioning; Engineering; Desiccant; Process engineering; Regenerative heat exchanger; Heat exchanger; Simulation; Environmental science; Materials science; Mechanical engineering; Energy (signal processing); Composite material; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007179536,0.00008899882,0.0002096247,0.0001867978,0.00005037412,0.00001432248,0.00005784078,0.00005208238,0.0000575927],"category_scores_gemma":[0.000002673016,0.00008123215,0.00005414785,0.0003308815,0.00002125914,0.0001304194,0.00001104511,0.00003578068,0.000004768798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002148557,"about_ca_system_score_gemma":0.000003924808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002067052,"about_ca_topic_score_gemma":0.000007623352,"domain_scores_codex":[0.9994861,0.00001034745,0.0001971244,0.00009933786,0.00008436925,0.0001226474],"domain_scores_gemma":[0.9997532,0.00001910667,0.00004355259,0.00009834301,0.00003668394,0.00004915604],"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":[0.00003486111,0.00002847591,0.003542017,0.000922824,0.001941381,0.000004323394,0.001031857,0.6837125,0.2639875,0.038773,0.0008126201,0.005208697],"study_design_scores_gemma":[0.0002493072,0.00006834634,0.004204929,0.0002245999,0.0003096928,0.00001722541,0.0003380425,0.8913501,0.09981381,0.000006624114,0.003134661,0.0002826594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902138,0.0002078482,0.007152406,0.00000969979,0.00009381088,0.00002724066,0.00000219279,0.0001486275,0.002144337],"genre_scores_gemma":[0.9994214,0.00006694294,0.0001805272,0.00002169483,0.00004164638,0.00002264225,0.000008059207,0.00001095542,0.0002261043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2076376,"threshold_uncertainty_score":0.3312551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00390441402543118,"score_gpt":0.1668638039330346,"score_spread":0.1629593899076034,"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."}}