{"id":"W3089458918","doi":"10.1016/j.proci.2020.06.166","title":"Investigation of the hydrodynamic effect of nanosecond repetitively pulsed discharges on a laminar stagnation flame","year":2020,"lang":"en","type":"article","venue":"Proceedings of the Combustion Institute","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Siemens (Canada); McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Siemens Canada","keywords":"Laminar flow; Premixed flame; Laminar flame speed; Combustion; Particle image velocimetry; Nanosecond; Flame speed; Plasma; Mechanics; Diffusion flame; Materials science; Flame structure; Chemistry; Analytical Chemistry (journal); Combustor; Optics; Laser; Turbulence; Physics; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002155797,0.0001659915,0.0002932188,0.0001718659,0.0003744944,0.0003026925,0.000261289,0.0002750257,0.001270704],"category_scores_gemma":[0.0004310777,0.0001042799,0.0002350775,0.0001384981,0.0004926548,0.0002525754,0.0002457766,0.000299602,0.0001074465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003726061,"about_ca_system_score_gemma":0.0002467492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009373387,"about_ca_topic_score_gemma":0.000604076,"domain_scores_codex":[0.9998941,0.00001195605,0.000003625811,0.000020788,0.00003994743,0.00002960824],"domain_scores_gemma":[0.9996744,0.0001627414,0.00005340807,0.00001969929,0.00005433087,0.00003539983],"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":[0.0005747551,0.0000404026,0.0006417083,0.00005271182,0.00001217552,0.0002760359,0.00009434062,0.0004952702,0.9944308,0.000188039,0.0001140862,0.003079696],"study_design_scores_gemma":[0.00008418706,0.001014478,0.009821767,0.000008637955,0.00002891897,0.000297603,0.0001441848,0.007519992,0.9796291,0.0001348773,0.00129846,0.00001775834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997457,0.0003372442,0.001192023,0.00007016987,0.00002711098,0.00000688955,0.00002772007,0.00004268953,0.0008392066],"genre_scores_gemma":[0.9985066,0.0001393872,0.0006063411,0.00002691565,0.00002124165,0.000003301892,0.00002702131,0.00001210343,0.0006570629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001270704,"threshold_uncertainty_score":0.004250944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519974757177746,"score_gpt":0.2266622113746768,"score_spread":0.2114624638028993,"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."}}