{"id":"W2054741995","doi":"10.4271/2012-01-1692","title":"The Properties and Injector Nozzle Fouling Performance of Neat GTL and GTL/EN590 Diesel Blends in Various Diesel Engines","year":2012,"lang":"en","type":"article","venue":"SAE international journal of fuels and lubricants","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Sasol","keywords":"Diesel fuel; Gas to liquids; Injector; Nozzle; Fouling; Diesel engine; Environmental science; Spray characteristics; Automotive engineering; Waste management; Engineering; Chemistry; Aerospace engineering; Spray nozzle; Mechanical engineering","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":[0.0001932868,0.0001150105,0.0001904576,0.0001385154,0.00004508747,0.00002464846,0.0001793258,0.00004503264,0.00000261445],"category_scores_gemma":[0.0002638933,0.00007573108,0.00002514773,0.00008697271,0.0001268985,0.0003437346,0.0001301836,0.0002345984,2.550028e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003994479,"about_ca_system_score_gemma":0.00001759364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000013038,"about_ca_topic_score_gemma":0.000005122052,"domain_scores_codex":[0.9991916,0.00001018811,0.0003302884,0.00007840758,0.0002112105,0.0001783364],"domain_scores_gemma":[0.9994256,0.0001506468,0.0001641976,0.00006574967,0.0001430904,0.00005070632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008592077,0.0002496669,0.3069069,0.000433165,0.0006996896,0.0000372959,0.006207785,0.01666107,0.1791466,0.007180953,0.0001071932,0.4815104],"study_design_scores_gemma":[0.007783141,0.001217072,0.6226651,0.003113698,0.0001889345,0.002603519,0.008303896,0.1746432,0.1606769,0.005370851,0.01183863,0.001595036],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923029,0.005982276,0.0008978898,0.0004176213,0.0002505997,0.00004350784,0.000004249616,0.0000182272,0.00008274493],"genre_scores_gemma":[0.9930057,0.005592973,0.00121317,0.00001405741,0.0001037804,0.000003723093,3.309899e-7,0.00001076719,0.00005552397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4799154,"threshold_uncertainty_score":0.3088224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814662700660732,"score_gpt":0.2403090290839718,"score_spread":0.2221624020773645,"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."}}