{"id":"W4287583147","doi":"10.4271/2022-01-0520","title":"A Study of Combustion Inefficiencies in SI Engines Powered by Alcohol and Ether Fuels Using Detailed Emission Speciation","year":2022,"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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Combustion; Alcohol; Ether; Genetic algorithm; Environmental science; Process engineering; Waste management; Automotive engineering; Materials science; Environmental chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002830218,0.0003621774,0.0003342037,0.0006211959,0.0001914258,0.0002119826,0.0003268344,0.000248104,0.0006519824],"category_scores_gemma":[0.0002568012,0.000144931,0.0003435185,0.0006052306,0.0001788071,0.000323323,0.0001979919,0.0002709187,0.000147887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002100613,"about_ca_system_score_gemma":0.0001439345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001483188,"about_ca_topic_score_gemma":0.002476692,"domain_scores_codex":[0.999868,0.000009388103,0.000009981448,0.0000277738,0.00006830729,0.000016449],"domain_scores_gemma":[0.9998381,0.00006852917,0.00002266349,0.00001005267,0.0000553905,0.000005219989],"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":[0.0006425214,0.000225996,0.0328872,0.0004443203,0.00007728679,0.0003417465,0.0002927209,0.01012486,0.9251785,0.000289751,0.0001156355,0.02937951],"study_design_scores_gemma":[0.00001485329,0.001634482,0.1446697,0.00002169446,0.00009748029,0.0003249767,0.0003203971,0.03147902,0.8197986,0.0001375526,0.001458473,0.00004276045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970556,0.000302568,0.001630557,0.000004723671,0.000002903345,0.00001624984,0.0001823985,0.00002171153,0.0007832989],"genre_scores_gemma":[0.9967793,0.0004149693,0.001677218,0.000007483311,0.000002161845,0.00001561181,0.000454306,0.00001050475,0.000638556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001483188,"threshold_uncertainty_score":0.002949119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01875826540570849,"score_gpt":0.2638063522189005,"score_spread":0.245048086813192,"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."}}