{"id":"W1969524601","doi":"10.1115/icef2005-1295","title":"Effect of Hydrogen Content in Hydrogen Natural-Gas Fuel Mixtures on Emissions in a Lean-Burn IC Engine","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"NOx; Hydrogen; Combustion; Lean burn; Natural gas; Hydrocarbon; Environmental science; Waste management; Hydrogen production; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001695135,0.0002752421,0.0004145631,0.0003706339,0.00001246363,0.000003408172,0.0003162345,0.0001828153,0.00008070395],"category_scores_gemma":[0.000811854,0.0002185607,0.0001048595,0.0004294915,0.00004074524,0.0000877066,0.00009581685,0.000599405,0.00002364956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002062482,"about_ca_system_score_gemma":0.000009545255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003650114,"about_ca_topic_score_gemma":0.00002335261,"domain_scores_codex":[0.9986807,0.00002294672,0.0004186396,0.0003007289,0.0002012841,0.0003756819],"domain_scores_gemma":[0.9990497,0.0004199842,0.00006100116,0.0003840967,0.00002183657,0.00006340813],"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":[0.00008753183,0.000108394,0.000350859,0.00009519659,0.00002712458,0.00001865672,0.000072581,0.4214453,0.5566458,0.0007894806,0.0001001029,0.02025894],"study_design_scores_gemma":[0.001295645,0.0001294021,0.0000631318,0.0001636539,0.000008531766,0.000006562024,0.00002737645,0.1164941,0.880787,0.0002263694,0.0005752474,0.0002229584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950261,0.001397485,0.0008027306,0.0005304567,0.00004041361,0.0003107884,0.000003568508,0.0005555435,0.001332893],"genre_scores_gemma":[0.9977368,0.00007036622,0.001243139,0.00005197043,0.00002801154,0.0000542168,0.00000824343,0.00003472759,0.0007725536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3241412,"threshold_uncertainty_score":0.8912649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028035413569255,"score_gpt":0.2487999977988308,"score_spread":0.2385196436631383,"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."}}