{"id":"W4318618537","doi":"10.26434/chemrxiv-2023-n4qvm","title":"Secondary Organic Aerosol from Biomass Burning Phenolics Could Increase Brown Carbon Lifetimes, Seed Ice Clouds, and Transport Pollutants","year":2023,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Aerosol; Guaiacol; Troposphere; Atmosphere (unit); Chemistry; Biomass (ecology); Carbon fibers; Environmental chemistry; Pollutant; Relative humidity; Atmospheric sciences; Organic chemistry; Meteorology; Materials science; Geology; Catalysis; Composite number","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":[0.0001610338,0.0003773995,0.000144308,0.0002605034,0.0002293494,0.0003667295,0.0001259866,0.0002573006,0.001984041],"category_scores_gemma":[0.0002512282,0.0001171593,0.000210005,0.0001464444,0.0001853929,0.0003537182,0.0001986081,0.0003394746,0.0002261243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003526004,"about_ca_system_score_gemma":0.0001655666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00244953,"about_ca_topic_score_gemma":0.002770923,"domain_scores_codex":[0.99992,0.000006369393,0.00000219399,0.00002305694,0.00001679306,0.00003158687],"domain_scores_gemma":[0.9998486,0.00003998343,0.00004366319,0.00000999538,0.00002314611,0.00003459895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001760425,0.00005679483,0.02243945,0.00005849964,0.00002669134,0.0001278068,0.00005284437,0.0007049902,0.9735712,0.000199286,0.0001021485,0.002484244],"study_design_scores_gemma":[0.00001817846,0.0002262712,0.2011145,0.000009130667,0.00002842206,0.00009470071,0.0001038569,0.005875947,0.7907956,0.0003685839,0.001353931,0.00001100052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974216,0.0002317991,0.000973738,0.00004250428,0.00001614173,0.00001397367,0.0002322739,0.00003496373,0.001032955],"genre_scores_gemma":[0.9983554,0.00008847578,0.0006031488,0.00001656043,0.000007027338,0.000006545422,0.0001670657,0.00001408502,0.0007415896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00244953,"threshold_uncertainty_score":0.006637216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01589515205143264,"score_gpt":0.2085645071451956,"score_spread":0.192669355093763,"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."}}