{"id":"W4407095537","doi":"10.1016/j.ijft.2025.101123","title":"Modeling of dissolution phenomena in Cu-Cl Cycle for hydrogen production","year":2025,"lang":"en","type":"article","venue":"International Journal of Thermofluids","topic":"Crystallization and Solubility Studies","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Dissolution; Hydrogen production; Production (economics); Hydrogen; Materials science; Environmental science; Chemistry; Chemical engineering; Engineering; Economics; Macroeconomics","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":[0.0006028929,0.00005790484,0.0001463504,0.0001847158,0.00003114999,0.00001725202,0.0002302908,0.00002551998,0.00004587609],"category_scores_gemma":[0.0003145706,0.00005073562,0.00007649945,0.00008951927,0.00003659553,0.0001826286,0.00004350188,0.00004197845,8.75321e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001369181,"about_ca_system_score_gemma":0.00005850547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002824753,"about_ca_topic_score_gemma":0.00002766061,"domain_scores_codex":[0.999077,0.00003426021,0.000482337,0.0000967616,0.0002297827,0.00007988268],"domain_scores_gemma":[0.9992148,0.00003650895,0.0001370007,0.00007126406,0.0005256559,0.00001471292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004587255,0.0002480058,0.001346653,0.00003836846,0.00008426031,0.00000117429,0.00122501,0.1133229,0.8753108,0.003872575,0.0001312287,0.003960261],"study_design_scores_gemma":[0.004847766,0.0003529849,0.005575248,0.001146436,0.0001256171,0.00003589363,0.003136784,0.5066701,0.3981267,0.07553969,0.003994649,0.0004481622],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965246,0.0003957841,0.0313274,0.001361924,0.001053247,0.0001135011,0.000009517129,0.000006670688,0.0004859739],"genre_scores_gemma":[0.9990436,0.00008148018,0.0004795377,0.00004224082,0.000175023,0.000005265006,0.000002134396,0.000004346288,0.0001663153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4771841,"threshold_uncertainty_score":0.2068938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02054300309702934,"score_gpt":0.3080142586146264,"score_spread":0.2874712555175971,"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."}}