{"id":"W4246259844","doi":"10.5383/ijtee.10.02.009","title":"Exergy Analysis of Modified Solar Still","year":2015,"lang":"en","type":"article","venue":"International Journal of Thermal and Environmental Engineering","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exergy; Cooling tower; Heat exchanger; Solar still; Environmental science; Exergy efficiency; Mass flow rate; Volumetric flow rate; Brackish water; Mass flow; Environmental engineering; Tower; Meteorology; Atmospheric sciences; Water cooling; Engineering; Mechanics; Mechanical engineering; Waste management; Desalination; Chemistry; Geography; Physics; Geology; Salinity; Structural engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002713533,0.00008924801,0.00019166,0.0002824367,0.000006666611,0.0000157579,0.0002158464,0.0000410494,0.0001060025],"category_scores_gemma":[0.00003718206,0.00007844739,0.0001134386,0.0000754112,0.00002696649,0.000173125,0.00005377181,0.00009439029,0.000002088261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000769481,"about_ca_system_score_gemma":0.000006633418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004228494,"about_ca_topic_score_gemma":7.727907e-7,"domain_scores_codex":[0.9991333,0.00002818014,0.0003414492,0.00007720922,0.0003365755,0.00008327775],"domain_scores_gemma":[0.999573,0.00003923898,0.0001783453,0.00008090274,0.00002929182,0.00009924217],"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":[0.00008567048,0.00005627136,0.003337671,0.000002308253,0.00127844,0.00001743888,0.000645348,0.8726545,0.1110086,0.0003783061,0.000005721009,0.01052965],"study_design_scores_gemma":[0.003248223,0.0002708158,0.2365012,0.00005496995,0.001096523,0.000216405,0.0008884052,0.5919185,0.1502349,0.0004590514,0.01452693,0.000584072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802861,0.0003164158,0.01858224,0.0000589481,0.0003757481,0.00001628529,0.00001420549,0.000007256649,0.0003428648],"genre_scores_gemma":[0.9948446,0.00004990709,0.004888537,0.00002258073,0.0001043535,8.986661e-7,0.00001165996,0.00001153964,0.00006592345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.280736,"threshold_uncertainty_score":0.3198992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843592062998679,"score_gpt":0.2379001613312458,"score_spread":0.219464240701259,"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."}}