{"id":"W2023516113","doi":"10.1016/j.applthermaleng.2012.11.042","title":"Thermodynamic analysis of a solar-based multi-generation system with hydrogen production","year":2012,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":163,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Exergy; Exergy efficiency; Organic Rankine cycle; Process engineering; Rankine cycle; Environmental science; Renewable energy; Hydrogen production; Nuclear engineering; Electricity generation; Solar energy; Thermodynamics; Waste management; Hydrogen; Engineering; Chemistry; Power (physics); Electrical engineering; Physics","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":[0.0001883846,0.0002215853,0.0003594618,0.0002601918,0.00003990965,0.00001039287,0.0001138588,0.00008355937,0.00001094226],"category_scores_gemma":[0.000002094582,0.0001903689,0.0001192237,0.0005410549,0.00001685315,0.00008498225,0.000008397486,0.0001019768,0.000008176743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009143956,"about_ca_system_score_gemma":0.000009188239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003016524,"about_ca_topic_score_gemma":0.00000792137,"domain_scores_codex":[0.9990619,0.00001044635,0.0002766155,0.0001574482,0.0001771085,0.0003164654],"domain_scores_gemma":[0.9995379,0.00001225971,0.00005880239,0.0002834563,0.00002768501,0.00007988444],"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":[0.000008440597,0.00001967268,0.0002163214,0.00008311853,0.0007030537,3.017563e-7,0.0002029942,0.6749516,0.3230704,0.0004452693,6.178097e-7,0.000298174],"study_design_scores_gemma":[0.0001954163,0.00000889668,0.002464297,0.00002775868,0.0006169996,0.000001890447,0.000120193,0.9616818,0.03464582,9.793889e-8,0.00001132801,0.0002255223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6571173,0.0002091483,0.3417307,0.000001133798,0.0001518103,0.0001301751,0.000005484776,0.0002854074,0.0003687727],"genre_scores_gemma":[0.9987679,0.00000229233,0.0008881368,0.000002603242,0.0001537127,0.00006235731,0.00005062556,0.00005979668,0.00001261813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3416505,"threshold_uncertainty_score":0.7763018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007330213409161478,"score_gpt":0.1809433902659493,"score_spread":0.1736131768567878,"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."}}