{"id":"W2037521373","doi":"10.1016/j.ijhydene.2008.07.073","title":"Optimization and field demonstration of hybrid hydrogen generator/high efficiency furnace system","year":2008,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; National Research Council Canada","funders":"","keywords":"Natural gas; Combustion; Process engineering; Hydrogen; Diesel fuel; Hydrogen fuel enhancement; Hybrid system; Environmental science; Hydrogen production; Energy carrier; Waste management; Nuclear engineering; Computer science; Chemistry; 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":[0.0004440433,0.0003821272,0.0004989935,0.0001815049,0.0005344725,0.0003614858,0.0006341935,0.0005358255,0.003125422],"category_scores_gemma":[0.0002638713,0.0002315539,0.0002669272,0.0001550431,0.0002472553,0.0003786274,0.0002307046,0.0003824302,0.0002728428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004567966,"about_ca_system_score_gemma":0.0004160798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002368635,"about_ca_topic_score_gemma":0.002474447,"domain_scores_codex":[0.9998429,0.000043091,0.000005639597,0.00002768641,0.00005074258,0.00002989199],"domain_scores_gemma":[0.9998141,0.00006590517,0.00001711198,0.000022536,0.00005356259,0.00002683648],"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":[0.004334328,0.00128233,0.01237179,0.0006233306,0.0001412201,0.0006512264,0.0003663038,0.1676062,0.7505718,0.002005352,0.002621006,0.05742512],"study_design_scores_gemma":[0.001037602,0.007295951,0.01755746,0.00002447967,0.0001220873,0.000250441,0.0002804186,0.3762691,0.5914833,0.0006624418,0.004962044,0.00005467212],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852465,0.00008183909,0.00979029,0.0001217861,0.00001510322,0.00008789444,0.0001463219,0.0002825621,0.004227567],"genre_scores_gemma":[0.9968831,0.00001712268,0.00208805,0.000004429743,0.000001950959,0.00002020691,0.0000349176,0.000009530414,0.000940699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003125422,"threshold_uncertainty_score":0.01045561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008091591348141773,"score_gpt":0.2103081942874601,"score_spread":0.2022166029393183,"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."}}