{"id":"W2937496838","doi":"10.1177/1468087419841744","title":"Development and experimental validation of a field programmable gate array–based in-cycle direct water injection control strategy for homogeneous charge compression ignition combustion stability","year":2019,"lang":"en","type":"article","venue":"International Journal of Engine Research","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Deutsche Forschungsgemeinschaft","keywords":"Homogeneous charge compression ignition; Ignition system; Combustion; Automotive engineering; Mean effective pressure; Engine knocking; Valve timing; Ignition timing; Combustion chamber; Nuclear engineering; Materials science; Compression ratio; Engineering; Internal combustion engine; Chemistry; Aerospace 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005310504,0.0005696442,0.0003376971,0.0003603294,0.0002550677,0.0004585268,0.001232988,0.0004315686,0.001831617],"category_scores_gemma":[0.0007782729,0.0001551949,0.0001966336,0.0002404268,0.0002859639,0.0003768485,0.0002138307,0.0003590747,0.00036501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004559693,"about_ca_system_score_gemma":0.0006305823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001556749,"about_ca_topic_score_gemma":0.00171308,"domain_scores_codex":[0.9995492,0.00002625084,0.00002146008,0.00009122634,0.0002531374,0.00005872236],"domain_scores_gemma":[0.9994405,0.00008797801,0.00009211509,0.00006948922,0.0002701251,0.00003988471],"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":[0.0002422204,0.0004259395,0.0006615477,0.0002624322,0.00002172601,0.0001137846,0.0001473432,0.007648163,0.955839,0.000669674,0.0005597628,0.03340833],"study_design_scores_gemma":[0.00003618625,0.001316278,0.001457275,0.000009062504,0.00001361267,0.00004507543,0.00002378724,0.03806015,0.9564245,0.00006929784,0.002524074,0.00002084246],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8186501,0.0003926429,0.1697198,0.0001543565,0.0002665775,0.0008371718,0.0005930304,0.002094775,0.007291446],"genre_scores_gemma":[0.9667116,0.0001070746,0.03027699,0.00003618477,0.000009686544,0.0002049596,0.0001177761,0.00007063053,0.002464959],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001831617,"threshold_uncertainty_score":0.006127357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04608116140583016,"score_gpt":0.3480741913045903,"score_spread":0.3019930298987601,"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."}}