{"id":"W2017875127","doi":"10.1615/ichmt.2010.rad-6.230","title":"SOOT PARTICLE SIZING BY INVERSE ANALYSIS OF MULTIANGLE ELASTIC LIGHT SCATTERING","year":2010,"lang":"en","type":"article","venue":"","topic":"Radiative Heat Transfer Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; National Research Council Canada","funders":"Natural Resources Canada","keywords":"Sizing; Soot; Light scattering; Multiangle light scattering; Particle size; Inverse problem; Particle-size distribution; Materials science; Scattering; Inverse; Inverse scattering problem; Optics; Physics; Mathematics; Chemistry; Combustion; Mathematical analysis; Chemical engineering; Geometry; Engineering","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":[0.00006387221,0.0001150076,0.000234532,0.0001116583,0.00004992239,0.00001603707,0.00008619732,0.00003929569,0.0002180759],"category_scores_gemma":[0.00002221899,0.0001080857,0.00008874962,0.0005158292,0.00005520264,0.0001035316,0.00001583706,0.0001105,0.00003238719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001629165,"about_ca_system_score_gemma":0.000003749223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006661476,"about_ca_topic_score_gemma":0.001203647,"domain_scores_codex":[0.9993531,0.000008665627,0.0002011024,0.0001277211,0.00009970392,0.0002097599],"domain_scores_gemma":[0.9996549,0.00006617444,0.000009043602,0.000177154,0.00002577687,0.00006695764],"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":[0.000002255271,0.00002879942,0.04276771,0.00003420914,0.0008574606,0.000001407622,0.001201806,0.009180697,0.9442924,0.0001288247,0.000609259,0.000895197],"study_design_scores_gemma":[0.0003983218,0.00002616566,0.06907084,0.0000098385,0.0005954478,5.049836e-7,0.0002753072,0.3719405,0.5553005,0.000007730407,0.002090232,0.0002846273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906737,0.0001640018,0.006447732,0.00009946903,0.0001819972,0.00005988271,0.00001233378,0.0001723353,0.002188505],"genre_scores_gemma":[0.9990042,0.00002014827,0.0008461779,0.00002377833,0.00001836781,0.00001136576,0.000002606065,0.00001823558,0.00005516483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3889919,"threshold_uncertainty_score":0.4407607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00758285747075603,"score_gpt":0.2090876606227133,"score_spread":0.2015048031519572,"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."}}