{"id":"W3018283962","doi":"10.1080/02786826.2020.1758623","title":"Development and validation of a multi-angle light scattering method for fast engine soot mass and size measurements","year":2020,"lang":"en","type":"article","venue":"Aerosol Science and Technology","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Soot; Scattering; Light scattering; Optics; Particle size; Rayleigh scattering; Mass concentration (chemistry); Aerosol; Nephelometer; Materials science; Computational physics; Analytical Chemistry (journal); Refractive index; Chemistry; Physics; Combustion; Thermodynamics; Meteorology; Chromatography","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":[0.007880457,0.001275089,0.0009314305,0.0019951,0.0007328839,0.001286184,0.002235069,0.001800426,0.0007961316],"category_scores_gemma":[0.005768784,0.0006325229,0.0009321141,0.001288843,0.0008828511,0.001285374,0.00138886,0.0009938381,0.001152682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080934,"about_ca_system_score_gemma":0.002805376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004124685,"about_ca_topic_score_gemma":0.005337916,"domain_scores_codex":[0.9940713,0.0006985002,0.0002610102,0.001078847,0.003745686,0.0001446406],"domain_scores_gemma":[0.9937993,0.001356509,0.000473969,0.0009549478,0.00319494,0.0002204262],"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":[0.0002184618,0.0003776019,0.0118302,0.0006898955,0.0001183624,0.0001419102,0.0003498268,0.008109172,0.8400401,0.002016977,0.000947774,0.1351596],"study_design_scores_gemma":[0.00005707872,0.0009875963,0.01273924,0.0001248703,0.0001009999,0.0006699383,0.0002108787,0.1565236,0.8077683,0.000775121,0.0198621,0.0001801733],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07068694,0.001145839,0.9224791,0.0001326871,0.000166854,0.0008884838,0.0006282118,0.002320538,0.001551225],"genre_scores_gemma":[0.1255598,0.0009062351,0.8698353,0.0001311318,0.0000380312,0.0008705085,0.00074498,0.0002284422,0.001685523],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007880457,"threshold_uncertainty_score":0.0416764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03421125454692429,"score_gpt":0.2488804036381203,"score_spread":0.214669149091196,"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."}}