{"id":"W1983422231","doi":"10.1243/14680874jer06310","title":"Compression ignition of directly injected natural gas with entrained diesel","year":2010,"lang":"en","type":"article","venue":"International Journal of Engine Research","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Diesel fuel; Ignition system; Carbureted compression ignition model engine; Diesel engine; Homogeneous charge compression ignition; Diesel cycle; Compression ratio; Fuel injection; Exhaust gas recirculation; Natural gas; Engine knocking; Automotive engineering; Nozzle; Combustion; Environmental science; Materials science; Internal combustion engine; Waste management; Engineering; Combustion chamber; Chemistry; Mechanical 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":[0.0004337377,0.0001184769,0.0002027708,0.0006782509,0.00003094235,0.00002110842,0.0006566588,0.00008733105,0.0001083081],"category_scores_gemma":[0.001712727,0.00008893559,0.00007103132,0.0003768314,0.0001557534,0.0002652159,0.0001185083,0.001502578,0.000004096091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009183271,"about_ca_system_score_gemma":0.00006166333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008099739,"about_ca_topic_score_gemma":0.000003424533,"domain_scores_codex":[0.9980966,0.00003221866,0.0003862669,0.0001175185,0.001131392,0.000235971],"domain_scores_gemma":[0.9968128,0.0004781119,0.0001740099,0.0001617102,0.002299851,0.00007356215],"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":[0.0003024674,0.0001156904,0.000193009,0.00002042203,0.000138025,0.00006528247,0.00008824185,0.01311665,0.9686963,0.002824386,0.0002512001,0.01418832],"study_design_scores_gemma":[0.001794578,0.0002727633,0.001284365,0.0003655251,0.00001274598,0.0003157961,0.0002033128,0.05420686,0.9374577,0.002030567,0.001878379,0.0001773433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597859,0.0001604306,0.03736023,0.001024311,0.0006149992,0.000103458,0.00001234425,0.0001103671,0.0008279631],"genre_scores_gemma":[0.9851136,0.00006163133,0.01441781,0.000004597565,0.0002615133,0.000004989539,0.00001084363,0.00002145361,0.0001035343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04109021,"threshold_uncertainty_score":0.6528038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02268546224708514,"score_gpt":0.3492916341397488,"score_spread":0.3266061718926637,"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."}}