{"id":"W4384936623","doi":"10.1016/j.ijhydene.2023.06.318","title":"Hydrolysis phase equilibrium in various reactor configurations of the thermochemical Cu–Cl cycle","year":2023,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Prince Edward Island; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Nuclear Laboratories","keywords":"Chemistry; Thermochemical cycle; Yield (engineering); Hydrogen; Chemical equilibrium; Decomposition; Hydrogen production; Thermodynamic equilibrium; Continuous reactor; Copper; Thermodynamics; Materials science; Catalysis; Organic chemistry; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003028691,0.000238009,0.0002912479,0.0003968988,0.0003485054,0.0005794399,0.0004809336,0.0004240826,0.004219068],"category_scores_gemma":[0.0007244536,0.000225623,0.0001974328,0.0003659443,0.0003388147,0.0005835334,0.0001816949,0.0004385237,0.0005078926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005574631,"about_ca_system_score_gemma":0.000403065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003403311,"about_ca_topic_score_gemma":0.003651546,"domain_scores_codex":[0.9998022,0.00002942859,0.00001030058,0.00005485971,0.00003925577,0.0000641162],"domain_scores_gemma":[0.9997808,0.0001090124,0.00002335059,0.00001701864,0.00005245357,0.00001740338],"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":[0.007845755,0.0002272185,0.002905659,0.0002811793,0.00003789464,0.0001941886,0.000269673,0.01117353,0.9509721,0.002420527,0.0006722998,0.02299996],"study_design_scores_gemma":[0.00007250225,0.00066112,0.00505332,0.00001476652,0.00002190693,0.0000448966,0.0001231257,0.02618248,0.9662117,0.0003980159,0.001187281,0.00002882758],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964947,0.0002445239,0.0009159513,0.00001743526,0.000007587132,0.000008398742,0.0001818026,0.00005236609,0.002077146],"genre_scores_gemma":[0.9991919,0.00005914158,0.000241416,0.000005367001,0.000001295068,0.000006144137,0.0001076223,0.00001011716,0.0003770002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004219068,"threshold_uncertainty_score":0.01411414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009598470615167911,"score_gpt":0.247922438884545,"score_spread":0.238323968269377,"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."}}