{"id":"W4399116932","doi":"10.1016/j.ijhydene.2024.05.386","title":"Parametric performance evaluation of SI engine using producer gas-biogas-hydrogen blend as a fuel: A thermodynamic modeling and optimization approach","year":2024,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Department of Mechanical Engineering, University of Alberta; Banaras Hindu University","keywords":"Biogas; Hydrogen; Parametric statistics; Hydrogen fuel; Process engineering; Methane; Nuclear engineering; Materials science; Environmental science; Computer science; Chemistry; Waste management; Engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004459498,0.0001783802,0.0002236578,0.0007946567,0.00002159468,0.00003168304,0.0003076814,0.00009956906,0.00002889584],"category_scores_gemma":[0.0002511355,0.0001628003,0.0001003123,0.0004573104,0.0000377166,0.0004677647,0.00008369646,0.00022076,6.316882e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003148364,"about_ca_system_score_gemma":0.0001037323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001624775,"about_ca_topic_score_gemma":3.029178e-7,"domain_scores_codex":[0.9982411,0.00003015483,0.0005417931,0.0002185772,0.0008092648,0.0001590646],"domain_scores_gemma":[0.9989306,0.00005281159,0.0002150322,0.0001430478,0.0006100041,0.00004844481],"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":[0.0000300909,0.00004337433,0.00001066485,0.0000286878,0.0002798428,0.00000788432,0.0000722668,0.9536358,0.02852576,0.001364311,6.003754e-7,0.01600076],"study_design_scores_gemma":[0.0003968642,0.00004589604,0.000001029804,0.0001625079,0.0001284277,0.0003757603,0.00005145624,0.9595835,0.03792214,0.0011643,0.00002780612,0.0001402567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5962676,0.002669234,0.4006552,0.00004671192,0.0001298985,0.0000473168,0.000003181051,0.00006071805,0.000120103],"genre_scores_gemma":[0.9706735,0.0007142829,0.02838345,0.000008039782,0.0001416894,0.000008726532,0.00001427114,0.00004043065,0.00001559352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3744058,"threshold_uncertainty_score":0.6638805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303082171219742,"score_gpt":0.2735801904778783,"score_spread":0.2505493687656809,"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."}}