{"id":"W4238288645","doi":"10.1115/1.3043814","title":"Extending the Lean Limit of Natural-Gas Engines","year":2009,"lang":"en","type":"article","venue":"Journal of Engineering for Gas Turbines and Power","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Lean burn; Combustion; Spark plug; Natural gas; Automotive engineering; Combustion chamber; NOx; Ignition system; Jet (fluid); Flammability limit; Environmental science; Engineering; Mechanical engineering; Waste management; Chemistry; Aerospace 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001741041,0.0001920842,0.0003151086,0.0001772863,0.00003506479,0.00001432486,0.0002511803,0.00008009402,0.000006571745],"category_scores_gemma":[0.0005930487,0.0001279764,0.0001663154,0.0001895144,0.0000276405,0.0001667371,0.00002810032,0.000347797,3.046823e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002710622,"about_ca_system_score_gemma":0.000007470986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.8678e-7,"about_ca_topic_score_gemma":6.719003e-8,"domain_scores_codex":[0.9990927,0.000002042328,0.0004199434,0.0001003578,0.0001513782,0.0002335698],"domain_scores_gemma":[0.9991917,0.0002423498,0.0001836591,0.0001710948,0.0001584445,0.00005274107],"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":[0.0001100447,0.00005943941,0.00006696106,0.000162501,0.000165505,0.00001643332,0.0002700085,0.6988663,0.2375172,0.04092433,0.0009856651,0.02085558],"study_design_scores_gemma":[0.004236193,0.002014113,0.003750876,0.001562375,0.0003730756,0.001343786,0.0005954097,0.6157744,0.2711792,0.0157206,0.08187032,0.001579649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8241891,0.01133949,0.1606383,0.002057793,0.00122011,0.0002126994,0.000007446086,0.0002409928,0.00009406915],"genre_scores_gemma":[0.9848993,0.0003401438,0.01442542,0.00003075251,0.0001797614,0.000002304647,9.143171e-7,0.00002455997,0.00009678734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1607102,"threshold_uncertainty_score":0.5218724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007725899449227261,"score_gpt":0.231084674596143,"score_spread":0.2233587751469158,"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."}}