{"id":"W1591491397","doi":"10.1115/imece2014-39949","title":"Evaluation of Cooling Water Storage for Liquid-Desiccant Air Conditioning System","year":2014,"lang":"en","type":"article","venue":"","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"TRNSYS; Desiccant; Air conditioning; Evaporative cooler; Liquid desiccant; Environmental science; Moisture; Cooling tower; Process engineering; Humidity; Water cooling; Nuclear engineering; Materials science; Waste management; Meteorology; Engineering; Mechanical engineering; Composite material","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":[0.001465703,0.0000844382,0.000154129,0.00006299144,0.00004591716,0.00001069604,0.00005610599,0.00005390496,0.00004739678],"category_scores_gemma":[0.00002832889,0.00006680402,0.00005048446,0.00003492351,0.000009180867,0.00006752066,0.000006100967,0.00003553881,0.00003668361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001084618,"about_ca_system_score_gemma":0.00001228654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001192058,"about_ca_topic_score_gemma":0.000005265123,"domain_scores_codex":[0.999178,0.00006137128,0.0002615469,0.00009463468,0.0002613803,0.0001430994],"domain_scores_gemma":[0.9994905,0.00004111854,0.00003287347,0.0001342225,0.0002670776,0.00003421881],"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":[0.00001643732,0.000008317535,0.000006439941,0.0005088411,0.00006361306,1.153013e-7,0.0005543266,0.8917009,0.09604094,0.009879353,0.000461951,0.0007587689],"study_design_scores_gemma":[0.0004661612,0.00004408103,0.00003060597,0.00009876695,0.00005699847,0.000002935751,0.000329321,0.893892,0.1038551,0.00004008676,0.001084424,0.00009945622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4626372,0.00003849802,0.5317018,0.000009059939,0.000493149,0.0003072078,0.000004575709,0.0003002414,0.004508225],"genre_scores_gemma":[0.9992254,4.686872e-7,0.000332246,0.00001372888,0.0001607376,0.00009104759,0.00002430156,0.00002370492,0.0001284053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5365881,"threshold_uncertainty_score":0.2724189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038783906552004,"score_gpt":0.2418157061617203,"score_spread":0.2214278670962003,"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."}}