{"id":"W4386700189","doi":"10.1016/j.energy.2023.129101","title":"A novel renewable energy system designed with Mg–Cl thermochemical cycle, desalination and heat storage options","year":2023,"lang":"en","type":"article","venue":"Energy","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Thermal energy storage; Renewable energy; Organic Rankine cycle; Process engineering; Desalination; Energy storage; Environmental science; Cogeneration; Exergy; Rankine cycle; Solar energy; Thermochemical cycle; Concentrated solar power; Waste management; Waste heat; Electricity generation; Engineering; Hydrogen production; Mechanical engineering; Power (physics); Chemistry; Thermodynamics; Hydrogen; Electrical engineering; Heat exchanger","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":[0.00009302788,0.0001441314,0.0001562581,0.0001217915,0.0000873227,0.00004338368,0.00007534222,0.00009745071,0.000007852285],"category_scores_gemma":[0.000005420031,0.0001306937,0.00002808804,0.0003434825,0.00002291541,0.0000814397,0.00001779726,0.00004477037,0.000009026028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009151575,"about_ca_system_score_gemma":0.00001538063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005392447,"about_ca_topic_score_gemma":0.0001684624,"domain_scores_codex":[0.9992812,0.00002750491,0.0001469657,0.0001827215,0.0001510401,0.0002106142],"domain_scores_gemma":[0.999636,0.00004082129,0.00002001987,0.0001776551,0.00003597429,0.00008953467],"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":[0.00001847445,0.0000163489,0.00001689172,0.00006615774,0.00005849324,0.00001312719,0.0001299503,0.6161916,0.3576682,0.02387709,0.001440222,0.0005035039],"study_design_scores_gemma":[0.0008086802,0.00004848188,0.0002157371,0.0001726445,0.00002767746,0.0001095482,0.0003417072,0.9544927,0.03306992,0.0000717898,0.01026616,0.0003748955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2396528,0.0006054314,0.7489747,0.00007292125,0.0003720685,0.00008217792,0.00001176205,0.002229432,0.007998737],"genre_scores_gemma":[0.9967949,0.00005496215,0.0005292919,0.00002141897,0.0001431468,0.00008025486,0.00004703894,0.00005159728,0.002277337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7571422,"threshold_uncertainty_score":0.5329536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008719107017127805,"score_gpt":0.1882078123923134,"score_spread":0.1794887053751856,"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."}}