{"id":"W2039987539","doi":"10.1016/j.ijhydene.2011.02.109","title":"Thermodynamic analysis of solar energy use for reforming fuels to hydrogen","year":2011,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Solar energy; Environmental science; Brayton cycle; Methane; Process engineering; Natural gas; Renewable energy; Propane; Hydrogen fuel; Waste management; Thermochemical cycle; Nuclear engineering; Hydrogen; Hydrogen production; Chemistry; Turbine; Engineering; Mechanical engineering; Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000240422,0.0001561916,0.0002862498,0.0008597174,0.0004653419,0.0004077002,0.0002721165,0.0001545438,0.005872238],"category_scores_gemma":[0.0005127366,0.000155534,0.0005262247,0.0005788967,0.0002646983,0.0004156693,0.000198607,0.0002226122,0.0006058239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005174002,"about_ca_system_score_gemma":0.0004262446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003536513,"about_ca_topic_score_gemma":0.006035195,"domain_scores_codex":[0.9998819,0.00001854102,0.000005625968,0.00001399829,0.00005540682,0.00002457674],"domain_scores_gemma":[0.9998552,0.00007338419,0.000007704827,0.000008352703,0.00004832005,0.000007046336],"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":[0.003501422,0.0008646937,0.08076688,0.0008282416,0.0004831342,0.0007249294,0.0002889979,0.1582666,0.6056092,0.049497,0.002605654,0.09656331],"study_design_scores_gemma":[0.00006596078,0.0007422991,0.09298617,0.00002809475,0.000171538,0.0002742077,0.0004230672,0.2480622,0.6417659,0.006394199,0.009023335,0.00006300435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824829,0.0006963522,0.00388829,0.00008191729,0.00002326186,0.00002534441,0.0005799538,0.00003268622,0.01218921],"genre_scores_gemma":[0.9982371,0.00009436275,0.0002280337,0.000005158715,0.000002981458,0.000007943727,0.0001326737,0.00001450734,0.001277224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005872238,"threshold_uncertainty_score":0.01964462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02543614173077169,"score_gpt":0.2532845039621662,"score_spread":0.2278483622313945,"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."}}