{"id":"W4307043440","doi":"10.1073/pnas.2208121119","title":"Sunlight can convert atmospheric aerosols into a glassy solid state and modify their environmental impacts","year":2022,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"European Commission; Division of Chemistry; Natural Sciences and Engineering Research Council of Canada; Government of Canada; National Science Foundation","keywords":"Atmosphere (unit); Troposphere; Environmental science; Aerosol; Atmospheric sciences; Viscosity; Evaporation; Sunlight; Materials science; Environmental chemistry; Chemistry; Meteorology; Geology; Optics; Physics; Composite material; Organic chemistry","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":[0.00009777413,0.0001523686,0.0001526418,0.0001512244,0.0002228277,0.0004725985,0.0001176538,0.0003263866,0.00149854],"category_scores_gemma":[0.0001930023,0.0001300684,0.0002316833,0.00012632,0.0002614068,0.0003296775,0.0003232139,0.0003731323,0.0002795873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00025067,"about_ca_system_score_gemma":0.0001286574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000824899,"about_ca_topic_score_gemma":0.001169795,"domain_scores_codex":[0.9998822,0.00001360432,0.000004422904,0.00003506467,0.00003949226,0.00002526618],"domain_scores_gemma":[0.999946,0.00001506611,0.00001260291,0.000007913629,0.000007807897,0.00001053798],"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":[0.000111029,0.00003911449,0.007855707,0.0001579635,0.00005374284,0.0001690746,0.00008300311,0.00039177,0.9755054,0.0009646227,0.0003373976,0.01433121],"study_design_scores_gemma":[0.00002411527,0.0005244807,0.09940473,0.000057604,0.00009553826,0.0005195541,0.0004613276,0.003203806,0.8437586,0.004709436,0.04719841,0.00004241972],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735551,0.0116165,0.004169642,0.0003814391,0.0001760335,0.00003151571,0.0005060087,0.00009416205,0.009469553],"genre_scores_gemma":[0.9926102,0.003482768,0.00142215,0.0001531984,0.00003337639,0.00001068165,0.0001907341,0.00001856245,0.002078307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00149854,"threshold_uncertainty_score":0.005013168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491479574817788,"score_gpt":0.2281040378889214,"score_spread":0.2131892421407436,"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."}}