{"id":"W3190498761","doi":"10.1016/j.expthermflusci.2021.110493","title":"A calibration-free two-dimensional spectral soot emission platform for temperature and soot measurements","year":2021,"lang":"en","type":"article","venue":"Experimental Thermal and Fluid Science","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Soot; Materials science; Calibration; Volume fraction; Optics; Volume (thermodynamics); Analytical Chemistry (journal); Combustion; Thermodynamics; Chemistry; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000097301,0.0001205083,0.00009738999,0.00003819595,0.0003105192,0.00004973003,0.0001602635,0.00003597385,0.00003693183],"category_scores_gemma":[0.0001016048,0.0000991848,0.00002245097,0.0001801479,0.0002231298,0.0004489517,0.0002033815,0.00008356523,7.717737e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004912751,"about_ca_system_score_gemma":0.00003003281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001658027,"about_ca_topic_score_gemma":2.625902e-7,"domain_scores_codex":[0.9990832,0.000003463643,0.0001228555,0.0003045844,0.0002473289,0.0002385535],"domain_scores_gemma":[0.9996427,0.00002642882,0.00001877638,0.0001652262,0.00004584808,0.0001010399],"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":[0.00002505306,0.00003010311,0.0001275998,0.000003573122,0.000003340698,0.000002093592,0.000137783,0.003139756,0.9918659,0.004357653,0.00001456069,0.0002925427],"study_design_scores_gemma":[0.0007400945,0.00004735716,0.000265209,0.00001467653,0.000001718783,0.00002955167,0.000300086,0.06315335,0.9346628,0.0006377178,0.0000160946,0.0001313646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970229,0.0004575027,0.001760792,0.0001760567,0.00007149075,0.0001058627,0.000003893857,0.0001419646,0.0002595425],"genre_scores_gemma":[0.9847484,0.000001521104,0.01499819,0.00008351776,0.00003325404,0.00002576134,0.000003704399,0.000008444785,0.00009718786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0600136,"threshold_uncertainty_score":0.4044639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02639766605483946,"score_gpt":0.2736051838779661,"score_spread":0.2472075178231266,"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."}}