{"id":"W2920244130","doi":"10.5194/acp-19-10073-2019","title":"Predictions of diffusion rates of large organic molecules in secondary organic aerosols using the Stokes–Einstein and fractional Stokes–Einstein relations","year":2019,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Sight Research UK; Deutsche Forschungsgemeinschaft; Natural Environment Research Council; U.S. Department of Energy; National Science Foundation","keywords":"Einstein relation; Diffusion; Chemistry; Viscosity; Molecule; Chemical physics; Thermodynamics; Analytical Chemistry (journal); Physics; Chromatography; 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":[0.0007062353,0.0007095291,0.0003202045,0.0005785073,0.0003366041,0.0005118491,0.000555242,0.0007541127,0.0004772118],"category_scores_gemma":[0.002332183,0.0003738286,0.000855645,0.0002608586,0.0003348661,0.001030394,0.000310729,0.000612674,0.0003867506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001666501,"about_ca_system_score_gemma":0.0006878069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01171987,"about_ca_topic_score_gemma":0.004992054,"domain_scores_codex":[0.9998127,0.00002520827,0.00001029835,0.00005354541,0.00006922382,0.00002910808],"domain_scores_gemma":[0.9991519,0.0004402339,0.0001327945,0.00004141959,0.000192445,0.00004116787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009604143,0.0001289559,0.0221456,0.0001147332,0.00004993152,0.0001506177,0.0001328305,0.7927837,0.1607703,0.009935416,0.0007138455,0.01297793],"study_design_scores_gemma":[0.000004920353,0.00001656687,0.001302904,0.000003385378,0.000004308455,0.0000123482,0.000008004654,0.9868348,0.01091116,0.0005482546,0.0003439979,0.000009397848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7614583,0.001146558,0.2313399,0.0003263052,0.00010019,0.00010417,0.0003295979,0.0005558248,0.00463915],"genre_scores_gemma":[0.9764291,0.0005456871,0.02164106,0.00004953126,0.00001889836,0.00005623846,0.0001684165,0.00004257801,0.001048436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01171987,"threshold_uncertainty_score":0.02330333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006605726345220604,"score_gpt":0.2069924224640501,"score_spread":0.2003866961188295,"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."}}