{"id":"W2896007469","doi":"10.1002/er.4233","title":"Design and analysis of a solar tower power plant integrated with thermal energy storage system for cogeneration","year":2018,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Türkiye Bilimler Akademisi","keywords":"Thermal energy storage; Cogeneration; Storage tank; Environmental science; Energy storage; Multiple-effect distillation; Waste management; Solar energy; Electricity; Engineering; Cooling tower; Process engineering; Environmental engineering; Nuclear engineering; Electricity generation; Desalination; Water cooling; Power (physics); Mechanical engineering; Electrical engineering; Chemistry; Thermodynamics","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":[0.001727523,0.0001465316,0.0003791865,0.0009963738,0.000104036,0.00009731879,0.0004412473,0.0001204509,0.0002441508],"category_scores_gemma":[0.000126982,0.00009912999,0.000136505,0.0005403836,0.0001722964,0.0001812701,0.00005220713,0.0001470135,0.000001029297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001506599,"about_ca_system_score_gemma":0.0002394967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001954779,"about_ca_topic_score_gemma":0.0004863522,"domain_scores_codex":[0.9974235,0.000477652,0.0005615507,0.000199311,0.00109593,0.0002420162],"domain_scores_gemma":[0.9949612,0.0004766415,0.0004404245,0.0001641971,0.003821185,0.0001363782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02226631,0.000581702,0.002977574,0.00004399906,0.02343022,0.0004442188,0.002932215,0.04057039,0.8049266,0.07708465,0.002762763,0.02197937],"study_design_scores_gemma":[0.004984268,0.005363626,0.001404836,0.0006592658,0.0007035633,0.0007458486,0.002126724,0.2243998,0.6089891,0.0003292267,0.1497158,0.0005779541],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6067816,0.0005285437,0.3887251,0.0001171835,0.0008318766,0.0001264013,0.00009521876,0.00001961596,0.002774467],"genre_scores_gemma":[0.9977278,0.00002528494,0.001067084,0.00004588097,0.0004729448,0.00002149774,0.00004308764,0.00002422259,0.000572274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3909461,"threshold_uncertainty_score":0.4042404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04861262506428709,"score_gpt":0.3123440677776219,"score_spread":0.2637314427133348,"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."}}