{"id":"W3119678926","doi":"10.1039/d0ea00008f","title":"Multicomponent diffusion in atmospheric aerosol particles","year":2021,"lang":"en","type":"article","venue":"Environmental Science Atmospheres","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"University of California, Riverside; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Aerosol; Quadrupole; Diffusion; Particle (ecology); Balance (ability); Physics; Atmospheric sciences; Meteorology; Thermodynamics; Atomic physics; Geology","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":[0.0002872824,0.0004713933,0.0004337131,0.0006532597,0.000383071,0.0004728367,0.0006780198,0.000567808,0.0007579828],"category_scores_gemma":[0.0007002208,0.0002343708,0.0003248376,0.0003764121,0.0006527505,0.001084827,0.0006563553,0.0003772943,0.0001432347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006627644,"about_ca_system_score_gemma":0.0003696858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0028696,"about_ca_topic_score_gemma":0.00125603,"domain_scores_codex":[0.9998482,0.00001959102,0.00000591171,0.00005130477,0.00005125259,0.00002357971],"domain_scores_gemma":[0.9997337,0.0001457099,0.00003767229,0.00001888013,0.00004039473,0.00002354953],"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":[0.0002916701,0.0002162192,0.006961568,0.0002573167,0.000102544,0.0003656594,0.0001736881,0.08081371,0.8623956,0.02746862,0.0005059148,0.02044756],"study_design_scores_gemma":[0.00007746457,0.0001689531,0.006229214,0.000007823466,0.00001631174,0.0001773104,0.000044016,0.874979,0.1115332,0.005425021,0.001305923,0.00003572297],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554613,0.001930782,0.03975412,0.0002894367,0.00009897773,0.00006470709,0.0001439902,0.0001074,0.002149243],"genre_scores_gemma":[0.9935265,0.0007592645,0.004090414,0.00003387054,0.00003049868,0.0000171277,0.00008347345,0.00001641688,0.00144247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0028696,"threshold_uncertainty_score":0.005705833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007868944455672846,"score_gpt":0.1951998245078864,"score_spread":0.1873308800522136,"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."}}