{"id":"W4414242300","doi":"10.1016/j.ijhydene.2025.151471","title":"Techno-economic analysis of future clean hydrogen potential from the five-step copper–chlorine cycle powered by nuclear energy","year":2025,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"Politecnico di Torino; University of Ontario Institute of Technology","keywords":"Hydrogen production; Hydrogen economy; Hydrogen; Fossil fuel; Energy carrier; Natural gas; Electricity generation; Coal; Hydrogen fuel; Electricity","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":[0.00007489608,0.0001761682,0.0003669595,0.0002114676,0.00003484374,0.00003547105,0.000901387,0.000126178,0.0002228253],"category_scores_gemma":[0.00002265353,0.0001431823,0.0003746951,0.0002674009,0.00006722656,0.0001038413,0.0001048944,0.0001777104,0.000002552551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001513071,"about_ca_system_score_gemma":0.00003388065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000798955,"about_ca_topic_score_gemma":0.00006063554,"domain_scores_codex":[0.9987874,0.00001843453,0.0005831525,0.0001586803,0.0002952291,0.0001570775],"domain_scores_gemma":[0.9992881,0.00008974502,0.0002186291,0.0001970937,0.0001365477,0.00006991796],"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":[0.0003445669,0.0001947452,0.0002331682,0.00001419572,0.01750152,0.00004551832,0.0001070163,0.3014005,0.6336905,0.006272927,0.01119198,0.02900336],"study_design_scores_gemma":[0.0009355551,0.00003422422,0.0000520876,0.0000874796,0.0007957148,0.00002539093,0.0001729414,0.1722956,0.7590606,0.002796669,0.06347003,0.000273707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928651,0.003043401,0.001211541,0.0008079139,0.0005831537,0.00001456801,0.0001735633,0.00005043217,0.001250302],"genre_scores_gemma":[0.9981163,0.0009284492,0.00007979149,0.0002345043,0.0004527197,0.000001615462,0.00008638483,0.00002503967,0.00007522554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1291049,"threshold_uncertainty_score":0.5838806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002153034184947212,"score_gpt":0.1930888150528615,"score_spread":0.1909357808679143,"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."}}