{"id":"W2165258611","doi":"10.5194/acp-10-2353-2010","title":"Chemical evolution of volatile organic compounds in the outflow of the Mexico City Metropolitan area","year":2010,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Aeronautics and Space Administration; National Center for Atmospheric Research; National Science Foundation","keywords":"Sunrise; Weather Research and Forecasting Model; Atmospheric sciences; Daytime; Morning; Ozone; Outflow; Environmental science; Chemical transport model; Reactivity (psychology); Planetary boundary layer; Volatile organic compound; Metropolitan area; Sea breeze; Climatology; Meteorology; Chemistry; Geography; Geology; 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":[0.0001596154,0.0001498097,0.0002149703,7.287978e-8,0.00008557165,0.00001495914,0.0003943656,0.0001090826,0.001184168],"category_scores_gemma":[0.00005192907,0.00009427184,0.00008617558,0.0003969928,0.0004167411,0.00007479839,0.00002533026,0.0003581383,0.000001431605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001153098,"about_ca_system_score_gemma":0.00007574232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007027971,"about_ca_topic_score_gemma":0.00008349107,"domain_scores_codex":[0.9991164,0.00002420617,0.0002465526,0.0001935338,0.0002327964,0.0001865739],"domain_scores_gemma":[0.9992204,0.0001711926,0.0001503708,0.0003684959,0.00003935683,0.00005018418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003178341,0.0001004025,0.5516521,0.00009644694,0.00002283236,8.866512e-7,0.000315522,0.0001104079,0.4436272,0.00009844578,0.0001528229,0.003791139],"study_design_scores_gemma":[0.000878672,0.00004249584,0.2871065,0.00007014964,0.00008885248,0.00004649959,0.001895329,0.0329771,0.66728,0.008344232,0.0007999768,0.0004701582],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904577,0.0001145575,0.0001481468,0.00008308089,0.00005786151,0.00007803131,0.0000312076,0.000008427331,0.009021018],"genre_scores_gemma":[0.9984882,0.000007101915,0.001165608,0.00002933684,0.000108207,0.000001111105,0.00002073948,0.000003351208,0.0001762785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2645456,"threshold_uncertainty_score":0.9997289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006785904854348964,"score_gpt":0.1907838111016673,"score_spread":0.1839979062473183,"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."}}