{"id":"W4404225581","doi":"10.5194/egusphere-2024-3240","title":"Advances in characterization of black carbon particles and their associated coatings using the soot particle aerosol mass spectrometer in Singapore, a complex city environment","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Soot; Carbon black; Aerosol; Characterization (materials science); Particle (ecology); Ultrafine particle; Carbon fibers; Spectrometer; Mass spectrometry; Mass concentration (chemistry); Materials science; Environmental science; Nanotechnology; Chemistry; Physics; Meteorology; Optics; Combustion; Composite material; Physical chemistry; Geology; Chromatography; Natural rubber","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":[0.0003651018,0.000600757,0.0002535844,0.0009427601,0.0004526344,0.0007070195,0.0003136646,0.0004216726,0.0007566751],"category_scores_gemma":[0.0002333413,0.0001680274,0.0003956734,0.0006410601,0.0002097878,0.0004568922,0.0004114239,0.0002687869,0.0003657186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004256101,"about_ca_system_score_gemma":0.000589713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01741646,"about_ca_topic_score_gemma":0.04070592,"domain_scores_codex":[0.9996638,0.00003398415,0.00002963647,0.00008130991,0.0001558838,0.00003533011],"domain_scores_gemma":[0.9997867,0.00001493392,0.0000436425,0.00001328471,0.0001228359,0.00001862215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001214334,0.00007544228,0.2206857,0.0005760908,0.0002095135,0.001095697,0.0005108725,0.002180226,0.7216137,0.0008721185,0.001089141,0.05096997],"study_design_scores_gemma":[0.00001227759,0.0002458438,0.6992677,0.00006620178,0.0001568371,0.001068976,0.001172349,0.0188113,0.2593596,0.0005964927,0.0191648,0.00007760505],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850278,0.001081115,0.007545723,0.0001439078,0.00003033217,0.00003693283,0.001221453,0.00008335809,0.004829408],"genre_scores_gemma":[0.9855171,0.0008537137,0.0103374,0.00008269431,0.00001194791,0.0000211216,0.001111577,0.00003113753,0.002033387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01741646,"threshold_uncertainty_score":0.03463012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07001470935865711,"score_gpt":0.2987378343430115,"score_spread":0.2287231249843544,"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."}}