{"id":"W3141484259","doi":"10.1021/acsearthspacechem.0c00346","title":"Aging of Atmospheric Brown Carbon Aerosol","year":2021,"lang":"en","type":"article","venue":"ACS Earth and Space Chemistry","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":305,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Aerosol; Chemical composition; Atmospheric chemistry; Chemistry; Environmental chemistry; Chemical reaction; Environmental science; Atmospheric sciences; Ozone; Organic chemistry; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006644023,0.0001561922,0.0002197391,5.890267e-7,0.00007856478,0.00003682127,0.0001039615,0.0001065946,0.001448194],"category_scores_gemma":[0.00006251817,0.0001503048,0.0000512535,0.0001930765,0.0001254999,0.00006706745,0.00002508481,0.0001616258,0.000006245843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001511276,"about_ca_system_score_gemma":0.0000949675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002160872,"about_ca_topic_score_gemma":0.00005315394,"domain_scores_codex":[0.9990634,0.00001345072,0.0001743527,0.0003004606,0.0001740821,0.0002742887],"domain_scores_gemma":[0.9993863,0.00006137102,0.00008680631,0.0002428837,0.00005119467,0.0001714764],"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":[0.0000279201,0.00003164,0.3032695,0.0004037721,0.00005058139,0.000128056,0.0001941576,0.0004948496,0.6880978,0.000004928904,0.0001976645,0.0070991],"study_design_scores_gemma":[0.0003318925,0.00001460425,0.01461587,0.0000549902,0.00001973507,0.00008986774,0.000378439,0.0006428043,0.9816531,0.00002862524,0.001944117,0.000225982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689729,0.003014398,0.00001026583,0.0001779763,0.00006107654,0.00003252904,0.00001570738,0.00002991809,0.02768526],"genre_scores_gemma":[0.9914533,0.0003090828,0.00135287,0.00006417659,0.0001158559,4.843766e-7,0.00004961174,0.000004467339,0.006650075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2935552,"threshold_uncertainty_score":0.9994646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006791170857784864,"score_gpt":0.1856531254906743,"score_spread":0.1788619546328894,"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."}}