{"id":"W2066624038","doi":"10.1115/1.2983016","title":"Thermal-Design Options for Pressure-Channel SCWRS With Cogeneration of Hydrogen","year":2008,"lang":"en","type":"article","venue":"Journal of Engineering for Gas Turbines and Power","topic":"Heat transfer and supercritical fluids","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cogeneration; Supercritical fluid; Nuclear engineering; Combined cycle; Rankine cycle; Electricity generation; Boiler (water heating); Turbine; Environmental science; Process engineering; Thermal efficiency; Hydrogen; Nuclear power; Steam turbine; Waste management; Mechanical engineering; Chemistry; Thermodynamics; Engineering; Combustion; Power (physics); Nuclear physics","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":[0.0001191274,0.0001106096,0.0002121369,0.00007259364,0.00003491095,0.000008782895,0.00004892724,0.00005533575,0.000005122875],"category_scores_gemma":[0.00002476482,0.00008368072,0.00008341255,0.00004929658,0.00001821294,0.0001256554,0.00000203532,0.00006659677,9.085877e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006634162,"about_ca_system_score_gemma":0.00001437821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.450266e-7,"about_ca_topic_score_gemma":2.209763e-7,"domain_scores_codex":[0.9994723,0.000004531882,0.0002442347,0.00005432445,0.00008204104,0.0001425892],"domain_scores_gemma":[0.9996234,0.00009911165,0.000004275712,0.00005333039,0.0001391416,0.00008071357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009958368,0.0000294987,0.00003323618,0.0002126897,0.0002012288,0.000003959754,0.0003835109,0.8079477,0.1895,0.0009062641,0.0006028617,0.00007942589],"study_design_scores_gemma":[0.003549806,0.00233571,0.0006428944,0.0003501925,0.0003789303,0.0004173691,0.00005390367,0.6449835,0.3331976,0.0001937666,0.01334077,0.0005555995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3505973,0.002393988,0.6465181,0.00006096629,0.0001596088,0.0001906461,0.00002717254,0.00002105646,0.00003121976],"genre_scores_gemma":[0.9892427,0.0002555026,0.01029327,0.00001019109,0.0001322106,0.00001452127,0.000002738425,0.00003011524,0.00001875801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6386455,"threshold_uncertainty_score":0.3412401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548485851652321,"score_gpt":0.2062255304845337,"score_spread":0.1907406719680105,"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."}}