{"id":"W1913169710","doi":"10.4271/2009-01-1857","title":"Flow Characteristics of a Gas-Blast Fuel Injector for Direct-Injection Compression-Ignition Engines","year":2009,"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":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ignition system; Injector; Compression (physics); Fuel injection; Automotive engineering; Flow (mathematics); Environmental science; Nuclear engineering; Petroleum engineering; Carbureted compression ignition model engine; Homogeneous charge compression ignition; Materials science; Combustion; Compression ratio; Internal combustion engine; Mechanics; Aerospace engineering; Mechanical engineering; Engineering; Combustion chamber; Diesel cycle; Chemistry; Physics; Composite material","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003110072,0.000864557,0.001245094,0.0004008304,0.0002209349,0.00004811869,0.0008820062,0.001006351,0.0001523894],"category_scores_gemma":[0.00256103,0.0007948515,0.0005305689,0.0009272497,0.000491452,0.0004995997,0.0002236565,0.001180626,0.00002811477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003405238,"about_ca_system_score_gemma":0.00004949341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005939618,"about_ca_topic_score_gemma":0.0006035632,"domain_scores_codex":[0.9959623,0.0000552613,0.001341504,0.001035979,0.0006904312,0.0009145847],"domain_scores_gemma":[0.997048,0.0007656981,0.0004063472,0.001232211,0.0002964324,0.000251289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005095698,0.0004318464,0.00001912644,0.0001778195,0.00004223556,0.000009341331,0.00002111919,0.002278879,0.9667851,0.007224004,0.0009239767,0.02157697],"study_design_scores_gemma":[0.00333181,0.006337528,0.9160115,0.001784901,0.0003362994,0.0001768435,0.0002136038,0.0001687361,0.02119542,0.01642158,0.03133425,0.002687497],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8720987,0.001825971,0.004997334,0.01048173,0.002539685,0.00876247,0.002003173,0.04909157,0.0481993],"genre_scores_gemma":[0.9737393,0.0002774177,0.02443661,0.000335184,0.0002479382,0.0004253399,0.0001921333,0.0001375052,0.0002085498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9455897,"threshold_uncertainty_score":0.9994503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089106037061065,"score_gpt":0.2426605418220749,"score_spread":0.2317694814514643,"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."}}