{"id":"W2899079492","doi":"10.1016/j.fuel.2018.10.119","title":"The effect of cavitation on the estimation of fuel injection rates based on momentum flux measurements","year":2018,"lang":"en","type":"article","venue":"Fuel","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Chalmers Tekniska Högskola; Canada Excellence Research Chairs, Government of Canada","keywords":"Cavitation; Nozzle; Body orifice; Mechanics; Momentum (technical analysis); Discharge coefficient; Materials science; Mass flux; Jet (fluid); Spray characteristics; Flux (metallurgy); Injector; Spray nozzle; Physics; Thermodynamics; Mechanical engineering; Engineering; Metallurgy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002954031,0.0001016495,0.00009954663,0.00005719795,0.00005814908,0.000006312103,0.0001448797,0.0000524856,0.00001372698],"category_scores_gemma":[0.001289604,0.00005928972,0.00003803966,0.0002254017,0.00007953763,0.00004893211,0.00001607433,0.0001140191,0.00002018873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008003863,"about_ca_system_score_gemma":0.000006642022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004299772,"about_ca_topic_score_gemma":0.000001109831,"domain_scores_codex":[0.999318,0.00004333451,0.0001749358,0.0001029652,0.0002549932,0.0001057682],"domain_scores_gemma":[0.9989514,0.0005445712,0.0001183129,0.0002866233,0.00008852116,0.00001061794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002218302,0.00004194726,0.0002685858,0.0001603624,0.00003701972,1.119027e-7,0.0001076675,0.820262,0.1646562,0.002467373,0.0004462038,0.01133068],"study_design_scores_gemma":[0.0003216732,0.0006535925,0.0006071705,0.00007574176,0.00001248888,1.503436e-7,0.000035554,0.3130867,0.6841697,0.0009317964,0.00005206895,0.00005333567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8824658,0.0001116354,0.1096222,0.0009417954,0.0006869193,0.0009215124,0.00001144032,0.0005216479,0.004717078],"genre_scores_gemma":[0.9993269,0.000001943913,0.0004961197,0.00001248277,0.00002247271,0.00005021503,0.000007359027,0.00001248764,0.00007003874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5195135,"threshold_uncertainty_score":0.2417765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701025421279847,"score_gpt":0.2681951040329793,"score_spread":0.2511848498201809,"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."}}