{"id":"W2346766658","doi":"10.1063/1.4947509","title":"A multi-probe thermophoretic soot sampling system for high-pressure diffusion flames","year":2016,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Laminar flow; Soot; Diffusion flame; Sampling (signal processing); Materials science; Combustion; Diffusion; Sizing; Mechanics; Analytical Chemistry (journal); Optics; Chemistry; Physics; Thermodynamics; Detector; Combustor","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":[0.0004785134,0.000394163,0.000470683,0.0004193472,0.0003976007,0.0003253511,0.0006873276,0.0005849891,0.000573475],"category_scores_gemma":[0.0004008527,0.0003737169,0.0002596039,0.0003719814,0.0003279611,0.000588544,0.0003928352,0.0005206644,0.0003344511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003903509,"about_ca_system_score_gemma":0.0003979319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004263617,"about_ca_topic_score_gemma":0.0006277398,"domain_scores_codex":[0.999638,0.00004614727,0.00002141794,0.0001044025,0.0001680438,0.00002198532],"domain_scores_gemma":[0.9997242,0.00006247038,0.00006225486,0.00004886635,0.0000732307,0.00002900033],"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":[0.00005589683,0.00001182923,0.0002320098,0.0001045714,0.000004223938,0.00002216362,0.00002847062,0.0001158705,0.9887284,0.0002557781,0.00009554283,0.01034516],"study_design_scores_gemma":[0.00001303552,0.0002478269,0.002999562,0.00001110881,0.00002061081,0.0005560039,0.00001679087,0.008032073,0.9799731,0.0001099183,0.007984816,0.00003522241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4604644,0.006687463,0.5266716,0.000366032,0.0002842173,0.0005353381,0.0005769813,0.002319832,0.0020941],"genre_scores_gemma":[0.5135187,0.002417316,0.4801118,0.0001346174,0.00009092908,0.0002974557,0.0002787339,0.00009872225,0.003051755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006873276,"threshold_uncertainty_score":0.002832234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01782266221511872,"score_gpt":0.2444559969679486,"score_spread":0.2266333347528299,"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."}}