{"id":"W4290052306","doi":"10.1016/j.desal.2022.116004","title":"Assessment of a novel solar-powered polygeneration system highlighting efficiency, exergy, economic and environmental factors","year":2022,"lang":"en","type":"article","venue":"Desalination","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Exergy; Waste management; Environmental science; Engineering; Environmental engineering; Process engineering","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":[0.0002543719,0.0003381093,0.0004170911,0.0002521514,0.0003428195,0.0005379725,0.0003181721,0.0003529352,0.001839496],"category_scores_gemma":[0.0002254258,0.0001098853,0.000273058,0.0002624056,0.0001520569,0.0007042234,0.000271301,0.0002303894,0.0002977214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005225457,"about_ca_system_score_gemma":0.000362204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001852257,"about_ca_topic_score_gemma":0.003740541,"domain_scores_codex":[0.9998925,0.00001532377,0.000007109992,0.00002251169,0.00005070886,0.00001183532],"domain_scores_gemma":[0.9999304,0.00001673089,0.000008936621,0.000006548212,0.00002843058,0.00000893082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002056868,0.0004073994,0.003649304,0.0004581781,0.00006105414,0.0001473897,0.00005692836,0.01579883,0.9353679,0.0004017285,0.000271732,0.04132268],"study_design_scores_gemma":[0.00009602918,0.003839548,0.009827697,0.00001248176,0.0001021115,0.0001528349,0.00009440604,0.04667587,0.9352849,0.0001673888,0.003726037,0.00002073298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938133,0.0002635897,0.004221949,0.00003192738,0.00001248744,0.00005376313,0.000188757,0.00005824435,0.001356018],"genre_scores_gemma":[0.9957841,0.0002158848,0.002104755,0.000009342973,0.000003002929,0.00002224693,0.0001365901,0.000008942265,0.001715252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001852257,"threshold_uncertainty_score":0.006153703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094641644701943,"score_gpt":0.2237384010891096,"score_spread":0.2127919846420902,"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."}}