{"id":"W4391998107","doi":"10.3390/en17051002","title":"Safety Analysis of the Hydrolysis Reactor in the Cu-Cl Thermochemical Hydrogen Production Cycle—Part 1: Methodology and Selected Top Events","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Hydrogen production; Thermochemical cycle; Production (economics); Hydrogen; Hydrolysis; Nuclear engineering; Environmental science; Thermodynamics; Chemistry; Process engineering; Waste management; Engineering; Economics; Physics; Macroeconomics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002889844,0.0001284185,0.0002557409,0.0000986004,0.00002817085,0.00001208417,0.0001980458,0.00009692481,0.0000278019],"category_scores_gemma":[0.0003052331,0.00007598718,0.0001057273,0.001581279,0.00007641934,0.00005002417,0.00004343838,0.0002151337,9.230755e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003513136,"about_ca_system_score_gemma":0.0000122464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004212878,"about_ca_topic_score_gemma":0.00001914769,"domain_scores_codex":[0.9991273,0.00010895,0.0002420058,0.0002178624,0.0001453409,0.0001585103],"domain_scores_gemma":[0.9992873,0.0003956459,0.00002585833,0.000247832,0.00002315017,0.00002020888],"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":[0.00001677395,0.00002045577,0.0008301586,0.00009242674,0.0006226529,8.757614e-7,0.0007833438,0.01273668,0.9822623,0.0001341662,0.0001187985,0.002381432],"study_design_scores_gemma":[0.00007726946,0.00000561962,0.002774554,0.00006514541,0.0005407798,0.000006607546,0.00008048242,0.01301578,0.9810272,0.001318837,0.0009488206,0.0001388385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964074,0.002423039,0.00002278619,0.0003705887,0.0001035538,0.0000601446,0.000007514658,0.0001127524,0.0004922221],"genre_scores_gemma":[0.9994233,0.0003042712,0.00006894956,0.00001934602,0.00008475832,0.00001869039,0.00002117938,0.00001528949,0.00004426469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003015853,"threshold_uncertainty_score":0.3098667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439467038850284,"score_gpt":0.2430685785312942,"score_spread":0.2286739081427914,"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."}}