{"id":"W3080573378","doi":"10.5194/amt-14-2799-2021","title":"Elemental analysis of oxygenated organic coating on black carbon particles using a soot-particle aerosol mass spectrometer","year":2021,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; National University of Singapore","keywords":"Vaporization; Aerosol; Soot; Mass spectrometry; Chemistry; Carbon black; Particle (ecology); Spectrometer; Total organic carbon; Analytical Chemistry (journal); Environmental chemistry; Combustion; Organic chemistry; Chromatography; Optics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000373164,0.0004768551,0.0002458901,0.001242949,0.0004865356,0.0002880053,0.0003706883,0.0004560309,0.001527119],"category_scores_gemma":[0.0004163655,0.0001296824,0.0003883183,0.0005700698,0.0002042234,0.0002541247,0.0002286601,0.0003246781,0.0002643818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003443085,"about_ca_system_score_gemma":0.0002927877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003020224,"about_ca_topic_score_gemma":0.006268628,"domain_scores_codex":[0.9995236,0.00002738566,0.00002119237,0.0001165254,0.0002793694,0.00003178326],"domain_scores_gemma":[0.9997094,0.00005531881,0.00005387259,0.00001785062,0.000138438,0.00002503273],"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":[0.00006682988,0.00002644868,0.003733802,0.00004925311,0.00003031076,0.00003943425,0.00004199372,0.0001748806,0.9912685,0.0000731656,0.00009102533,0.004404148],"study_design_scores_gemma":[0.000009087062,0.0001557482,0.03607574,0.00001327248,0.00004250323,0.0001160982,0.00007247039,0.006001882,0.9557486,0.00007632495,0.001670229,0.00001798499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9680209,0.0005697735,0.02598043,0.00005070076,0.00007449118,0.0001319418,0.00188696,0.0003207731,0.002964006],"genre_scores_gemma":[0.9241262,0.0008979187,0.06940269,0.0001683921,0.00003550165,0.0001317405,0.001559858,0.0001264714,0.003551279],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003020224,"threshold_uncertainty_score":0.006005287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03333051741834221,"score_gpt":0.2340885372829789,"score_spread":0.2007580198646367,"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."}}