{"id":"W2626328573","doi":"10.5194/acp-17-14415-2017","title":"Compositional evolution of particle-phase reaction products and water in the heterogeneous OH oxidation of model aqueous organic aerosols","year":2017,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Chemical Sciences, Geosciences, and Biosciences Division; Natural Sciences and Engineering Research Council of Canada; Basic Energy Sciences; Chinese University of Hong Kong; U.S. Department of Energy","keywords":"Chemistry; Aqueous solution; Aerosol; Radical; Aqueous two-phase system; Carbon fibers; Photochemistry; Chemical engineering; Organic chemistry; Materials science","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":[0.000117325,0.00025298,0.0001192178,0.0001923991,0.00009298796,0.0001592816,0.0001649147,0.0001733293,0.0004066576],"category_scores_gemma":[0.0001105231,0.00007646387,0.0002197417,0.0001173675,0.0001367043,0.0001896174,0.0001054783,0.000172088,0.00008687022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002230292,"about_ca_system_score_gemma":0.00008025581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00109627,"about_ca_topic_score_gemma":0.0006922886,"domain_scores_codex":[0.9999341,0.000005733128,0.000002765784,0.00002075515,0.00002503865,0.00001169184],"domain_scores_gemma":[0.9999613,0.00001115998,0.00001156741,0.000002876795,0.000008692134,0.000004486658],"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":[0.00005881507,0.00001548478,0.001005209,0.00001901224,0.000006607042,0.00003465803,0.00001211525,0.0009271663,0.9969048,0.00004551448,0.000007602439,0.0009630065],"study_design_scores_gemma":[0.000007631505,0.0001564673,0.007253973,0.000001582796,0.000009391514,0.00002197862,0.00002116822,0.02039496,0.9718922,0.00005877287,0.0001775596,0.000004239943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978083,0.0001113463,0.001693233,0.000004725876,0.000002765764,0.00001117966,0.00008823901,0.00001122714,0.0002690877],"genre_scores_gemma":[0.998733,0.00008648961,0.0008605322,0.000003456903,0.000001264489,0.000008116446,0.00009187606,0.000004382204,0.0002108999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00109627,"threshold_uncertainty_score":0.002179742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357980355087837,"score_gpt":0.2245466405446706,"score_spread":0.2109668369937922,"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."}}