{"id":"W4399259166","doi":"10.1021/jacs.4c03041","title":"Surfactant Partitioning Dynamics in Freshly Generated Aerosol Droplets","year":2024,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chemical Sciences, Geosciences, and Biosciences Division; Basic Energy Sciences; European Research Council; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; Natural Environment Research Council; Sight Research UK","keywords":"Chemistry; Aerosol; Pulmonary surfactant; Diffusion; Chemical physics; Kinetics; Adsorption; Chemical reaction; Chemical engineering; Nanotechnology; Thermodynamics; Physical chemistry; Organic chemistry; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006604887,0.0001353597,0.0001234372,0.0001830813,0.0001341318,0.0003068179,0.0002124467,0.000195507,0.0005924431],"category_scores_gemma":[0.0002113247,0.00008646551,0.00008720146,0.0001289348,0.0001814126,0.0002877251,0.000141509,0.0003720637,0.0001589225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003237768,"about_ca_system_score_gemma":0.000120886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001042585,"about_ca_topic_score_gemma":0.0006437553,"domain_scores_codex":[0.9999362,0.000003911563,0.00000332105,0.00002183294,0.00002148961,0.00001320084],"domain_scores_gemma":[0.9999212,0.0000272211,0.00001601068,0.000004667292,0.00001721359,0.00001375376],"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":[0.00004441963,0.00001916384,0.001626783,0.00001401603,0.000004723872,0.00008774846,0.0000656752,0.0003615586,0.9958997,0.0001669788,0.00003330982,0.001675869],"study_design_scores_gemma":[0.00001681877,0.0001890421,0.01692463,0.000004750229,0.000007970422,0.0001228917,0.0001049724,0.01381524,0.9678373,0.0001813034,0.0007796569,0.00001535684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982017,0.0001600049,0.001051593,0.00001530202,0.000004807282,0.00001101865,0.0001014797,0.00002120645,0.0004329614],"genre_scores_gemma":[0.9976446,0.0002201657,0.001316919,0.00002100322,0.000004831059,0.00002173503,0.0002546459,0.00001517808,0.0005008705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001042585,"threshold_uncertainty_score":0.002349138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00782607966338765,"score_gpt":0.2316188254306916,"score_spread":0.223792745767304,"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."}}