{"id":"W2886787104","doi":"10.1007/978-3-319-62572-0_76","title":"Energetic and Exergetic Performance Comparisons of Various Flow Sheet Options of Magnesium-Chlorine Cycle","year":2018,"lang":"en","type":"book-chapter","venue":"Green energy and technology","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Electrolysis; Exergy; Process engineering; Thermochemical cycle; Hydrogen production; Renewable energy; Chlorine; Electricity; Exergy efficiency; Thermal energy; Magnesium; Thermal; Chemistry; Hydrogen; Thermodynamics; Engineering; Physics; Electrical engineering; Organic chemistry","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":[0.0002224414,0.0003281873,0.0002832016,0.0005989399,0.0002814863,0.000612425,0.0005606571,0.0003990554,0.004358724],"category_scores_gemma":[0.000244581,0.00009836159,0.0004697481,0.0006068933,0.0001591996,0.0005681404,0.0002948568,0.00019612,0.0003459166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006388099,"about_ca_system_score_gemma":0.0002139808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001890742,"about_ca_topic_score_gemma":0.003801911,"domain_scores_codex":[0.9998902,0.00001509761,0.000004333671,0.00001195616,0.00006078785,0.00001760617],"domain_scores_gemma":[0.9999475,0.00002486992,0.000005048373,0.000003826604,0.00001555515,0.000003302737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007395317,0.0003464635,0.0130733,0.001826569,0.0001722934,0.0008059005,0.0003014059,0.3368701,0.2679684,0.02086731,0.006071526,0.3443013],"study_design_scores_gemma":[0.0002748944,0.005125453,0.07133147,0.0003112218,0.0003827141,0.0005870087,0.000939312,0.3562357,0.510545,0.01953779,0.03452472,0.0002047417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271625,0.00577905,0.006788461,0.0001343977,0.00005524577,0.00006068082,0.00140526,0.0001209772,0.05849344],"genre_scores_gemma":[0.9906702,0.0006915589,0.0009974601,0.00001664298,0.000005128602,0.0000130387,0.0004111215,0.00002316054,0.007171745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004358724,"threshold_uncertainty_score":0.01458144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005610483640403487,"score_gpt":0.1714751141347047,"score_spread":0.1658646304943013,"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."}}