{"id":"W4366386849","doi":"10.1016/j.jclepro.2023.137219","title":"Exergoeconomic performance evaluation of three, four, and five-step thermochemical copper-chlorine cycles for hydrogen production","year":2023,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Hydrogen production; Thermochemical cycle; Exergy; Cost of electricity by source; Hydrogen; Environmental science; Process engineering; Exergy efficiency; Waste management; Chemistry; Thermodynamics; Engineering; Electricity generation; Organic chemistry; Physics","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":[0.001147472,0.0001065481,0.0002353534,0.0001312355,0.00007958744,0.00001395526,0.00009612674,0.00005555968,0.000006768985],"category_scores_gemma":[0.00009595977,0.00009300181,0.00008485994,0.00007539343,0.00004851915,0.0002507727,0.00001368587,0.00009476935,0.000003069209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006335915,"about_ca_system_score_gemma":0.0000229937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000742927,"about_ca_topic_score_gemma":0.000008502939,"domain_scores_codex":[0.9990649,0.0000182974,0.0004305348,0.0001337339,0.0002235781,0.0001289334],"domain_scores_gemma":[0.9992883,0.00001497727,0.0002386231,0.0001678558,0.0002528887,0.0000373604],"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":[0.000344225,0.00004127894,0.003622196,0.0004253716,0.000350782,6.267611e-7,0.000610712,0.7105706,0.1199008,0.00003076408,0.003081159,0.1610215],"study_design_scores_gemma":[0.001258753,0.0002452434,0.04091802,0.0002983948,0.0005451405,0.0001744137,0.000683115,0.8473148,0.1066072,0.001018319,0.0006197044,0.0003169175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974007,0.0003882217,0.0004212628,0.000195144,0.001253491,0.0002182677,0.000001980428,0.00003501648,0.00008591561],"genre_scores_gemma":[0.9983844,0.0004468797,0.0001186272,0.000001555056,0.0008940886,0.00001209677,0.000005350679,0.00002302927,0.0001139879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1607045,"threshold_uncertainty_score":0.3792504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02670749539732712,"score_gpt":0.2511828537578859,"score_spread":0.2244753583605588,"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."}}