{"id":"W2287340436","doi":"10.1016/j.ijhydene.2015.10.078","title":"Comparative performance assessment of three configurations of magnesium–chlorine cycle","year":2015,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Electrolysis; Anhydrous; Chlorine; Chemistry; Thermochemical cycle; Magnesium; Hydrogen production; Exergy; Aqueous solution; Electrolysis of water; Electrolytic cell; Inorganic chemistry; Chemical engineering; Electrolyte; Hydrogen; Process engineering; Organic chemistry; Electrode; Physical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008290995,0.00007807168,0.0002120599,0.00008064814,0.000006339608,0.000006317636,0.0002639979,0.00003152147,0.00004592438],"category_scores_gemma":[0.00002137812,0.00006816936,0.00006538939,0.00007873359,0.00004936118,0.0001283022,0.0000233602,0.00008417066,9.080701e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005904755,"about_ca_system_score_gemma":0.00006703157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001693715,"about_ca_topic_score_gemma":0.000004280058,"domain_scores_codex":[0.9991046,0.000006947882,0.0004167273,0.00004752935,0.0003553746,0.00006883427],"domain_scores_gemma":[0.9990698,0.00004633438,0.0001899542,0.00006363069,0.000564097,0.00006615185],"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":[0.00009568132,0.0002164102,0.001677816,0.00006836648,0.0005225211,0.00001094245,0.0002207472,0.3326232,0.6568952,0.004728503,0.0002811914,0.002659422],"study_design_scores_gemma":[0.0005396129,0.00008838351,0.0003895031,0.00006159644,0.00002257142,0.00004801972,0.00003205731,0.0590416,0.9370545,0.001830044,0.0008137337,0.00007837067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857157,0.0003707231,0.004339629,0.00005284158,0.0002451623,0.00001279514,0.000009725681,0.00001135102,0.009242081],"genre_scores_gemma":[0.9991328,0.0000452806,0.0006364308,0.00001009293,0.0001407352,0.000001519324,0.000008050956,0.000007708692,0.00001737479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2801593,"threshold_uncertainty_score":0.2779866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02482345011297543,"score_gpt":0.2764859307233922,"score_spread":0.2516624806104167,"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."}}