{"id":"W3155515342","doi":"","title":"Effects of Gasoline Composition on Compression Ignition in a Motored Engine","year":2020,"lang":"en","type":"dissertation","venue":"Deep Blue (University of Michigan)","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Gasoline; Automotive engineering; Ignition system; Composition (language); Compression (physics); Compression ratio; Environmental science; Engineering; Waste management; Internal combustion engine; Materials science; Composite material; Art; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002424942,0.0003527399,0.0002675601,0.0003778812,0.0002317264,0.0003295826,0.0003026862,0.0002594577,0.0007198036],"category_scores_gemma":[0.0006142723,0.0001842661,0.0002308538,0.0002283832,0.0002831117,0.0003556031,0.0002359492,0.0002328056,0.000137114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003604993,"about_ca_system_score_gemma":0.0002456405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002177872,"about_ca_topic_score_gemma":0.003182299,"domain_scores_codex":[0.9997465,0.0000295662,0.00001735318,0.00006159023,0.0001069967,0.00003793625],"domain_scores_gemma":[0.9997475,0.00007736625,0.00004546609,0.00001886411,0.0000866565,0.00002423425],"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":[0.001746081,0.0001002895,0.00661098,0.0001385398,0.0000344956,0.0002145063,0.0001049209,0.00265524,0.9783767,0.0000570916,0.00004673178,0.009914286],"study_design_scores_gemma":[0.00001475616,0.0008946718,0.02308334,0.000006991567,0.00003019157,0.00007556778,0.00008473705,0.005379492,0.9699174,0.00001961443,0.0004750723,0.0000181242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991632,0.0001845413,0.0003424696,0.000006776098,0.000004931338,0.000007785358,0.00002628529,0.00001371742,0.0002503231],"genre_scores_gemma":[0.9992331,0.0001010871,0.0003000086,0.000007202873,0.000001835567,0.000003679015,0.00005257248,0.000006349981,0.0002942656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002177872,"threshold_uncertainty_score":0.004330456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004306803998771143,"score_gpt":0.1889535078414489,"score_spread":0.1846467038426778,"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."}}