{"id":"W2799588303","doi":"10.1016/j.envpol.2018.04.065","title":"Volatile organic compounds in stormwater from a community of Beijing, China","year":2018,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Beijing University of Civil Engineering and Architecture; National Natural Science Foundation of China","keywords":"Stormwater; BTEX; Environmental science; Ethylbenzene; Environmental chemistry; Volatile organic compound; Beijing; Pollution; Environmental engineering; Air pollution; Benzene; Chemistry; Surface runoff; China; Geography","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":[0.00009195397,0.00007457648,0.00009250981,0.000003975304,0.0001173818,0.000006442373,0.0001134113,0.00004789584,0.007881145],"category_scores_gemma":[0.000003952543,0.00006795769,0.00002193956,0.00005091711,0.0002046998,0.0001148791,0.00001983855,0.0001327731,0.0001452935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000175167,"about_ca_system_score_gemma":0.000005879207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004621656,"about_ca_topic_score_gemma":0.001390458,"domain_scores_codex":[0.9994889,0.00006169244,0.0001359243,0.0000921055,0.0001026696,0.0001186955],"domain_scores_gemma":[0.9997466,0.00001640976,0.00005522252,0.0001439552,7.410563e-7,0.00003710071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003842383,0.00006653928,0.8280054,0.000003061374,0.000007111498,9.156111e-7,0.001023548,0.00006423239,0.1685646,4.987905e-7,0.0001079515,0.002117684],"study_design_scores_gemma":[0.000232101,0.00008549355,0.9683168,0.000009899578,0.000003922271,0.000001483637,0.0002854533,0.0009154882,0.02964111,0.0001627738,0.0002702498,0.00007523134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997587,0.00005451214,0.00005850595,0.0000298995,0.00007306882,0.00004746784,0.000118012,0.000009221289,0.002022322],"genre_scores_gemma":[0.9992833,0.000006323731,0.0002338458,0.00004364091,0.00006954703,2.166299e-7,0.000227907,0.00000211687,0.0001331237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1403114,"threshold_uncertainty_score":0.9930258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006964245458279706,"score_gpt":0.1782704588841994,"score_spread":0.1713062134259197,"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."}}