{"id":"W2793513130","doi":"10.1016/j.ijhydene.2018.01.054","title":"Experimental study of effect of anolyte concentration and electrical potential on electrolyzer performance in thermochemical hydrogen production using the Cu-Cl cycle","year":2018,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor; Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Nuclear Laboratories","keywords":"Electrolysis; Chlorine; Electrochemistry; Chemistry; Hydrogen production; Electrolysis of water; Electrolytic process; Copper; Aqueous solution; Hydrogen; Inorganic chemistry; Polymer electrolyte membrane electrolysis; Electrolytic cell; Chemical engineering; Electrode; Electrolyte","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001424644,0.0001070821,0.0001837499,0.00006065777,0.0000201374,0.000008072844,0.0001868185,0.0000480665,0.000009192825],"category_scores_gemma":[0.00003841055,0.00007701272,0.0000482736,0.0001161731,0.00007756964,0.00009570955,0.00002331892,0.0001328132,2.093569e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008851044,"about_ca_system_score_gemma":0.00001635231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000128637,"about_ca_topic_score_gemma":8.275315e-7,"domain_scores_codex":[0.9990401,0.00004080768,0.0003633381,0.0001019479,0.0003321042,0.0001216845],"domain_scores_gemma":[0.9996144,0.00004569668,0.0001399781,0.00006915809,0.00009972648,0.00003100339],"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":[0.0004681739,0.0002147831,0.0009302857,0.000007466743,0.0001301227,0.000003673263,0.000166616,0.007167836,0.9892482,0.0000151357,0.000002630275,0.00164508],"study_design_scores_gemma":[0.0007595537,0.0007125448,0.0001342457,0.00005766312,0.00002260049,0.00009403262,0.00002024723,0.05224912,0.9458383,0.00004337354,0.000004775295,0.00006355812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991296,0.0005106582,0.00004524467,0.00001102311,0.0001508008,0.00005506753,5.286764e-7,0.000008090193,0.00008897339],"genre_scores_gemma":[0.9995636,0.00004337474,0.00001204843,0.000007680061,0.0003551933,0.000002609226,0.000001269218,0.00001292756,0.000001312066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04508128,"threshold_uncertainty_score":0.3140488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005256828818989461,"score_gpt":0.2354981350067682,"score_spread":0.2302413061877787,"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."}}