{"id":"W1994268798","doi":"10.1016/j.scs.2012.09.003","title":"Environmental impact assessment of nuclear assisted hydrogen production via Cu–Cl thermochemical cycles","year":2012,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"Atomic Energy of Canada Limited","keywords":"Hydrogen production; Hydrogen; Global-warming potential; Environmental science; Nuclear plant; Thermal; Chemistry; Production (economics); Global warming; Life-cycle assessment; Environmental chemistry; Climate change; Greenhouse gas; Nuclear engineering; Thermodynamics; Physics; Ecology; Engineering","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":[0.0001158145,0.0001536475,0.0001908822,0.00001255339,0.0001010241,0.00001476493,0.00006986716,0.0001163698,0.0001036473],"category_scores_gemma":[0.00001190009,0.000136122,0.0001341002,0.00007168173,0.0001775807,0.0001781528,0.00006197414,0.0001636065,9.158817e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002148793,"about_ca_system_score_gemma":0.00001216035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001959821,"about_ca_topic_score_gemma":3.010025e-8,"domain_scores_codex":[0.9991831,0.00001038944,0.000161275,0.0001287535,0.0001378334,0.0003787075],"domain_scores_gemma":[0.9996894,0.00002690809,0.0000348982,0.000124626,0.00001847873,0.0001056636],"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":[0.000008349511,0.0001216067,0.003831288,0.000838635,0.0001999543,6.709375e-7,0.002517303,0.0001477459,0.9895537,0.0003239411,0.0009575135,0.001499263],"study_design_scores_gemma":[0.001239325,0.0001481375,0.07650099,0.0001537614,0.0002641526,0.00008182765,0.04934318,0.01304177,0.849681,0.00428297,0.003790044,0.001472903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967751,0.001430052,0.00003795844,0.00002908821,0.00003470979,0.00009690756,0.000005535887,0.0001084204,0.001482216],"genre_scores_gemma":[0.9991527,0.0003280696,0.0001992327,0.00001831154,0.0001324282,0.000008924806,0.00001852269,0.00003197166,0.0001099061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1398728,"threshold_uncertainty_score":0.5550894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005171010482778769,"score_gpt":0.2195792331315818,"score_spread":0.214408222648803,"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."}}