{"id":"W2969638530","doi":"","title":"Use of Hydrogen Enriched Compressed Natural Gas for IC Engines – Review Paper","year":2019,"lang":"en","type":"article","venue":"Journal of Emerging Technologies and Innovative Research","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compressed natural gas; Natural gas; Combustion; NOx; Methane; Hydrogen; Environmental science; Hydrogen fuel; Waste management; Materials science; Chemistry; Engineering; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008098686,0.0001769958,0.0005602367,0.0007348222,0.00005391123,0.0000149706,0.0005426552,0.0001522575,0.00002098904],"category_scores_gemma":[0.005909689,0.0001331913,0.00008990645,0.001931375,0.0002436503,0.0004413793,0.0003626014,0.001052158,0.000001697327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007197538,"about_ca_system_score_gemma":0.00003673647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002533464,"about_ca_topic_score_gemma":1.674905e-7,"domain_scores_codex":[0.9983231,0.00002996142,0.0006611967,0.0001929899,0.0004120464,0.0003806392],"domain_scores_gemma":[0.9965377,0.0008026388,0.0003406839,0.000354295,0.001942746,0.00002189773],"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":[0.00008932912,0.00005530077,0.0004405316,0.001801093,0.0001974275,0.000006138959,0.00004146248,0.001919139,0.9080355,0.02370235,0.003470893,0.06024091],"study_design_scores_gemma":[0.002293232,0.001167673,0.0003965629,0.006103022,0.00004763672,0.00009834421,0.003844018,0.0403171,0.8030165,0.02158372,0.1203246,0.0008076391],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8930531,0.066369,0.02667392,0.01148112,0.000276049,0.001285267,0.00002118816,0.0007068725,0.0001335362],"genre_scores_gemma":[0.9641189,0.01496013,0.02066711,0.00002873057,0.00002177429,0.00002424511,0.000002906289,0.00002733539,0.0001488529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1168537,"threshold_uncertainty_score":0.7074876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07676050589638714,"score_gpt":0.3689294403044575,"score_spread":0.2921689344080703,"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."}}