{"id":"W3139915841","doi":"10.5194/acp-2021-251","title":"Modelling the gas–particle partitioning and water uptake of isoprene-derived secondary organic aerosol at high and low relative humidity","year":2021,"lang":"en","type":"article","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; CERN; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Isoprene; Ozonolysis; Aerosol; Relative humidity; Chemistry; Particle (ecology); Ozone; Sulfuric acid; Thermodynamics; Inorganic chemistry; 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":[0.0001605823,0.0004965391,0.0002879721,0.0001936695,0.0002223089,0.0003953776,0.0004826843,0.0006133699,0.0005235813],"category_scores_gemma":[0.000237869,0.0002267172,0.0005380346,0.0001414404,0.000185325,0.0003907672,0.0002356979,0.000315671,0.0001117958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006894509,"about_ca_system_score_gemma":0.0004558466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01375486,"about_ca_topic_score_gemma":0.007613065,"domain_scores_codex":[0.9999336,0.000009176215,0.000003228874,0.00001967105,0.00001718368,0.00001716608],"domain_scores_gemma":[0.9998966,0.00005527975,0.00001271662,0.000008336187,0.00001588434,0.00001112973],"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":[0.0001247395,0.0001648674,0.008473177,0.000100096,0.00006233108,0.0001427455,0.00006059171,0.8295107,0.1577872,0.0008527287,0.00009232386,0.002628511],"study_design_scores_gemma":[0.00001529802,0.00006210021,0.002546634,0.000001276482,0.0000102838,0.00001160695,0.00001179951,0.9795374,0.0175311,0.0001122233,0.0001530161,0.000007359347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940253,0.00005002058,0.004620954,0.00001750701,0.000006392103,0.00001880142,0.0001553745,0.00003319726,0.001072385],"genre_scores_gemma":[0.9975615,0.0000346053,0.001817628,0.000005457223,0.000001719354,0.00001433425,0.000125033,0.000009934319,0.0004298839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01375486,"threshold_uncertainty_score":0.02734965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01405583371387109,"score_gpt":0.1823717619314008,"score_spread":0.1683159282175297,"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."}}