{"id":"W2145007838","doi":"10.1115/1.2978998","title":"The Lean Mixture Operational Limits of a Spark Ignition Engine When Operated on Fuel Mixtures","year":2008,"lang":"en","type":"article","venue":"Journal of Engineering for Gas Turbines and Power","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Octane rating; Gasoline; Lean burn; Ignition system; Combustion; Flammability limit; Methane; SPARK (programming language); Automotive engineering; Limit (mathematics); Drop (telecommunication); Spark-ignition engine; Environmental science; Process engineering; Nuclear engineering; NOx; Internal combustion engine; Computer science; Mechanical engineering; Waste management; Thermodynamics; Engineering; Chemistry; Mathematics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008550899,0.0004135567,0.0004227909,0.0007612699,0.0002825142,0.0005192764,0.0005821238,0.0003461442,0.000889079],"category_scores_gemma":[0.001636104,0.0001940462,0.0002343842,0.0003586421,0.0006179832,0.0007230996,0.0004048586,0.0003265814,0.0002272439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002560968,"about_ca_system_score_gemma":0.0002523554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007057748,"about_ca_topic_score_gemma":0.000761139,"domain_scores_codex":[0.9992124,0.00007332191,0.00008901791,0.00009943565,0.0004321739,0.00009374258],"domain_scores_gemma":[0.9988123,0.0006352179,0.0001716586,0.0000750574,0.0002636903,0.00004199351],"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":[0.001593945,0.0000675378,0.002565773,0.0001199063,0.00001826611,0.000110893,0.0001626696,0.003036018,0.9837571,0.0003860647,0.00004818338,0.008133479],"study_design_scores_gemma":[0.00001169256,0.000578694,0.005836906,0.000008604216,0.0000156536,0.0001091307,0.00007070468,0.007107903,0.9856881,0.0001983981,0.0003563726,0.00001784141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910187,0.0005792007,0.007239433,0.00001896679,0.00001128807,0.00001575727,0.0001347851,0.00008287276,0.0008990222],"genre_scores_gemma":[0.9980996,0.0001708875,0.001303312,0.000007609396,0.000003313389,0.00001927167,0.0001785133,0.00001138358,0.0002060377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000889079,"threshold_uncertainty_score":0.004522204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143807638718892,"score_gpt":0.2286785003823124,"score_spread":0.2142977365104232,"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."}}