{"id":"W2013164156","doi":"10.1504/ijex.2012.045861","title":"Thermodynamic analyses of closed thermochemical energy storages","year":2012,"lang":"en","type":"article","venue":"International Journal of Exergy","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Exergy; Exergy efficiency; Thermodynamics; Process engineering; Thermal energy storage; Energy storage; Efficient energy use; Thermal energy; Environmental science; Thermal; Energy recovery; Energy (signal processing); Nuclear engineering; Physics; 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":[0.0003150417,0.0002017257,0.0005056267,0.0007184962,0.0005367942,0.0005755084,0.0004541886,0.0002908979,0.004043988],"category_scores_gemma":[0.000742764,0.0002034712,0.0003362231,0.0004740495,0.0008095399,0.0008040671,0.0004739923,0.0004868421,0.0004094972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005717198,"about_ca_system_score_gemma":0.0003989383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001409144,"about_ca_topic_score_gemma":0.001447172,"domain_scores_codex":[0.9997677,0.00001952389,0.00001736216,0.00003971074,0.000115241,0.00004041904],"domain_scores_gemma":[0.9998257,0.00007283027,0.00001609409,0.00001738291,0.00005342766,0.00001468492],"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":[0.001038169,0.00022089,0.004510058,0.0003696049,0.00009563522,0.0004219827,0.0002879993,0.04751484,0.8983859,0.02578497,0.0007925591,0.02057737],"study_design_scores_gemma":[0.00005668516,0.0004541527,0.01216985,0.00003526845,0.00004121959,0.0002675515,0.0002691361,0.1579293,0.8121557,0.008177035,0.008374056,0.00007014966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799032,0.001053961,0.0123451,0.00006415711,0.00003870854,0.0000483325,0.00094832,0.0001113062,0.005487134],"genre_scores_gemma":[0.996204,0.0002529173,0.001527941,0.00001245985,0.000005885076,0.00003018369,0.000470408,0.00002534948,0.001470912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004043988,"threshold_uncertainty_score":0.01352853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02179913129556102,"score_gpt":0.2936889539245949,"score_spread":0.2718898226290339,"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."}}