{"id":"W4362705965","doi":"10.4271/2023-01-0281","title":"On-Road CO<sub>2</sub> and NO<sub>x</sub> Emissions for a Heavy-Duty Truck with Hydrogen-Diesel Co-Combustion","year":2023,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Hydro-Québec","funders":"","keywords":"Truck; Hydrogen; Diesel fuel; Hydrogen storage; Waste management; Environmental science; Automotive engineering; Chemistry; Engineering; Organic chemistry","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":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001161662,0.002556527,0.002731778,0.001072001,0.00129098,0.000231825,0.002297287,0.002695497,0.0001901438],"category_scores_gemma":[0.005418891,0.002280826,0.000999729,0.002975602,0.00242261,0.0009783431,0.001116519,0.003398591,0.0004993375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001095779,"about_ca_system_score_gemma":0.000256127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000759139,"about_ca_topic_score_gemma":0.001905157,"domain_scores_codex":[0.9885969,0.0001972464,0.002483526,0.003401134,0.002238644,0.003082542],"domain_scores_gemma":[0.9917133,0.002424178,0.0007233405,0.00339445,0.000515646,0.00122904],"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":[0.001941288,0.0006110435,0.00003129768,0.000405839,0.0002583571,0.0001218709,0.0000483197,0.003834296,0.9488052,0.02063769,0.01499115,0.008313639],"study_design_scores_gemma":[0.02116047,0.01878622,0.2345338,0.006622402,0.001850408,0.001354335,0.0006981242,0.0008182666,0.3751613,0.03533129,0.2876582,0.01602518],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9439262,0.00135187,0.0004212874,0.005480472,0.0005942394,0.005149228,0.0009519223,0.02893511,0.01318963],"genre_scores_gemma":[0.9853058,0.002466436,0.006382091,0.0008759473,0.0003333767,0.002668654,0.0005719833,0.0007062086,0.0006894932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5736439,"threshold_uncertainty_score":0.9989006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239148112712951,"score_gpt":0.2527274927335865,"score_spread":0.240336011606457,"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."}}